Forem: Praful Patel

🚀 Seamless Network Connectivity - AWS VPC Peering Deployment

Praful Patel — Tue, 19 Dec 2023 01:23:05 +0000

🌐 Introduction:
In the ever-expanding landscape of cloud computing, Virtual Private Cloud (VPC) Peering stands as a key architectural element, facilitating secure communication between distinct VPCs. This blog delves into the nuances of VPC Peering, shedding light on its significance and practical applications.
A virtual private cloud (VPC) is a virtual network dedicated to your AWS account. It is logically isolated from other virtual networks in the AWS Cloud. You can launch AWS resources, such as Amazon EC2 instances, into your VPC.

A VPC peering connection is a networking connection between two VPCs that enables you to route traffic between them using private IPv4 addresses or IPv6 addresses. Instances in either VPC can communicate with each other as if they are within the same network. You can create a VPC peering connection between your own VPCs, or with a VPC in another AWS account. The VPCs can be in different Regions (also known as an inter-Region VPC peering connection).

VPC Peering Lifecycle
A VPC peering connection goes through various stages starting from when the request is initiated. At each stage, there may be actions that you can take, and at the end of its lifecycle, the VPC peering connection remains visible in the Amazon VPC console and API or command line output for a period of time.

VPC Peering Connection Lifecycle:

Initiating-request:
A request for a VPC peering connection is initiated, moving to either pending-acceptance or failed state.

Failed:
The VPC peering connection request has failed. It remains visible for 2 hours and cannot be accepted, rejected, or deleted during this period.

Pending-acceptance:
The request awaits acceptance from the accepter VPC owner. It can be accepted, rejected, or deleted within 7 days. If no action is taken, it expires after 7 days.

Expired:
The VPC peering connection request has expired. No action can be taken, and it remains visible for 2 days to both VPC owners.

Rejected:
The accepter VPC owner rejects a pending-acceptance request. It remains visible to the requester for 2 days and to the accepter for 2 hours.

Provisioning:
The request has been accepted and is in the process of becoming active.

Active:
The VPC peering connection is active, allowing traffic flow. It can be deleted by either VPC owner but cannot be rejected.

Deleting:
Applies to an inter-Region VPC peering connection being deleted. A deletion request is submitted, and the connection transitions to deleted.

Deleted:
An active connection is deleted by either owner, or a pending-acceptance request is deleted by the requester. It remains visible for a specified duration to both parties.

🚀 Features:

Inter-VPC Connectivity: VPC Peering establishes a connection between VPCs, enabling seamless communication using private IP addresses.
Cross-Account Connectivity: It supports secure connections between VPCs across different AWS accounts, fostering collaboration and resource sharing.
Transitive Peering: VPC Peering can be extended beyond two VPCs, creating a network topology that allows interconnectedness across multiple VPCs.

🎯 Objective:
This blog aims to provide a comprehensive understanding of VPC Peering, unraveling its features and showcasing a real-time use case to highlight its practical utility.

🚀 Use Case - Real-time Web and DB VPC in Two Different Regions:
Consider a scenario where a web application hosted in one AWS region necessitates real-time access to a database residing in another region. VPC Peering plays a pivotal role in establishing a secure and efficient connection between the web and database VPCs, facilitating seamless data exchange.

🔗 Solution Diagram:
VPC Peering Solution Diagram

provider "aws" {
  profile = var.profile
  region  = var.region_web
  alias   = "region-web"
}

provider "aws" {
  profile = var.profile
  region  = var.region_db
  alias   = "region-db"
}


#Create VPC in us-east-1
resource "aws_vpc" "vpc_useast" {
  provider             = aws.region-web
  cidr_block           = "10.0.0.0/16"
  enable_dns_support   = true
  enable_dns_hostnames = true
  tags = {
    Name = "master-vpc-jenkins"
  }

}

#Create VPC in us-west-2
resource "aws_vpc" "vpc_uswest" {
  provider             = aws.region-db
  cidr_block           = "192.168.0.0/16"
  enable_dns_support   = true
  enable_dns_hostnames = true
  tags = {
    Name = "worker-vpc-jenkins"
  }

}

#Initiate Peering connection request from us-east-1
resource "aws_vpc_peering_connection" "useast1-uswest-2" {
  provider    = aws.region-web
  peer_vpc_id = aws_vpc.vpc_uswest.id
  vpc_id      = aws_vpc.vpc_useast.id
  #auto_accept = true
  peer_region = var.region_db

}

#Create IGW in us-east-1
resource "aws_internet_gateway" "igw" {
  provider = aws.region-web
  vpc_id   = aws_vpc.vpc_useast.id
}

#Create IGW in us-west-2
resource "aws_internet_gateway" "igw-oregon" {
  provider = aws.region-db
  vpc_id   = aws_vpc.vpc_uswest.id
}

#Accept VPC peering request in us-west-2 from us-east-1
resource "aws_vpc_peering_connection_accepter" "accept_peering" {
  provider                  = aws.region-db
  vpc_peering_connection_id = aws_vpc_peering_connection.useast1-uswest-2.id
  auto_accept               = true
}

#Create route table in us-east-1
resource "aws_route_table" "internet_route" {
  provider = aws.region-web
  vpc_id   = aws_vpc.vpc_useast.id
  route {
    cidr_block = "0.0.0.0/0"
    gateway_id = aws_internet_gateway.igw.id
  }
  route {
    cidr_block                = "192.168.1.0/24"
    vpc_peering_connection_id = aws_vpc_peering_connection.useast1-uswest-2.id
  }
  lifecycle {
    ignore_changes = all
  }
  tags = {
    Name = "Master-Region-RT"
  }
}

#Overwrite default route table of VPC(Master) with our route table entries
resource "aws_main_route_table_association" "set-master-default-rt-assoc" {
  provider       = aws.region-web
  vpc_id         = aws_vpc.vpc_useast.id
  route_table_id = aws_route_table.internet_route.id
}
#Get all available AZ's in VPC for master region
data "aws_availability_zones" "azs" {
  provider = aws.region-web
  state    = "available"
}

#Create subnet # 1 in us-east-1
resource "aws_subnet" "subnet_1" {
  provider          = aws.region-web
  availability_zone = element(data.aws_availability_zones.azs.names, 0)
  vpc_id            = aws_vpc.vpc_useast.id
  cidr_block        = "10.0.1.0/24"
}

#Create subnet #2  in us-east-1
resource "aws_subnet" "subnet_2" {
  provider          = aws.region-web
  vpc_id            = aws_vpc.vpc_useast.id
  availability_zone = element(data.aws_availability_zones.azs.names, 1)
  cidr_block        = "10.0.2.0/24"
}


#Create subnet in us-west-2
resource "aws_subnet" "subnet_1_oregon" {
  provider   = aws.region-db
  vpc_id     = aws_vpc.vpc_uswest.id
  cidr_block = "192.168.1.0/24"
}

#Create route table in us-west-2
resource "aws_route_table" "internet_route_oregon" {
  provider = aws.region-db
  vpc_id   = aws_vpc.vpc_uswest.id
  route {
    cidr_block = "0.0.0.0/0"
    gateway_id = aws_internet_gateway.igw-oregon.id
  }
  route {
    cidr_block                = "10.0.1.0/24"
    vpc_peering_connection_id = aws_vpc_peering_connection.useast1-uswest-2.id
  }
  lifecycle {
    ignore_changes = all
  }
  tags = {
    Name = "Worker-Region-RT"
  }
}

#Overwrite default route table of VPC(Worker) with our route table entries
resource "aws_main_route_table_association" "set-worker-default-rt-assoc" {
  provider       = aws.region-db
  vpc_id         = aws_vpc.vpc_uswest.id
  route_table_id = aws_route_table.internet_route_oregon.id
}


#Create SG for allowing TCP/8080 from * and TCP/22 from your IP in us-east-1
resource "aws_security_group" "jenkins-sg" {
  provider    = aws.region-web
  name        = "jenkins-sg"
  description = "Allow TCP/8080 & TCP/22"
  vpc_id      = aws_vpc.vpc_useast.id
  ingress {
    description = "Allow 22 from our public IP"
    from_port   = 22
    to_port     = 22
    protocol    = "tcp"
    cidr_blocks = [var.external_ip]
  }
  ingress {
    description = "allow anyone on port 8080"
    from_port   = 8080
    to_port     = 8080
    protocol    = "tcp"
    cidr_blocks = ["0.0.0.0/0"]
  }
  ingress {
    description = "allow traffic from us-west-2"
    from_port   = 0
    to_port     = 0
    protocol    = "-1"
    cidr_blocks = ["192.168.1.0/24"]
  }
  egress {
    from_port   = 0
    to_port     = 0
    protocol    = "-1"
    cidr_blocks = ["0.0.0.0/0"]
  }
}

#Create SG for LB, only TCP/80,TCP/443 and access to jenkins-sg
resource "aws_security_group" "lb-sg" {
  provider    = aws.region-web
  name        = "lb-sg"
  description = "Allow 443 and traffic to Jenkins SG"
  vpc_id      = aws_vpc.vpc_useast.id
  ingress {
    description = "Allow 443 from anywhere"
    from_port   = 443
    to_port     = 443
    protocol    = "tcp"
    cidr_blocks = ["0.0.0.0/0"]
  }
  ingress {
    description = "Allow 80 from anywhere for redirection"
    from_port   = 80
    to_port     = 80
    protocol    = "tcp"
    cidr_blocks = ["0.0.0.0/0"]
  }
  ingress {
    description     = "Allow traffic to jenkins-sg"
    from_port       = 0
    to_port         = 0
    protocol        = "tcp"
    security_groups = [aws_security_group.jenkins-sg.id]
  }
  egress {
    from_port   = 0
    to_port     = 0
    protocol    = "-1"
    cidr_blocks = ["0.0.0.0/0"]
  }
}

#Create SG for allowing TCP/22 from your IP in us-west-2
resource "aws_security_group" "jenkins-sg-oregon" {
  provider = aws.region-db

  name        = "jenkins-sg-oregon"
  description = "Allow TCP/8080 & TCP/22"
  vpc_id      = aws_vpc.vpc_uswest.id
  ingress {
    description = "Allow 22 from our public IP"
    from_port   = 22
    to_port     = 22
    protocol    = "tcp"
    cidr_blocks = [var.external_ip]
  }
  ingress {
    description = "Allow traffic from us-east-1"
    from_port   = 0
    to_port     = 0
    protocol    = "-1"
    cidr_blocks = ["10.0.1.0/24"]
  }
  egress {
    from_port   = 0
    to_port     = 0
    protocol    = "-1"
    cidr_blocks = ["0.0.0.0/0"]
  }
}

variable "external_ip" {
  type    = string
  default = "0.0.0.0/0"
}

variable "profile" {
  type    = string
  default = "default"
}

variable "region_web" {
  type    = string
  default = "us-west-1"
}

variable "region_db" {
  type    = string
  default = "ca-central-1"
}

# Variables
variable "ami_web" {
  description = "AMI ID for EC2 instances"
  default = "ami-0cbd40f694b804622"
}

variable "ami_db" {
  description = "AMI ID for EC2 instances"
  default = "ami-06873c81b882339ac"
}

variable "instance_type" {
  description = "EC2 instance type"
  default     = "t2.micro"
}
# AWS EC2 Instance Key Pair
variable "instance_keypair" {
  description = "AWS EC2 Key pair that need to be associated with EC2 Instance"
  type        = string
  default     = "vpc-key.pem"
}

output "VPC-ID-US-EAST-1" {
  value = aws_vpc.vpc_useast.id
}

output "VPC-ID-US-WEST-2" {
  value = aws_vpc.vpc_uswest.id
}

output "PEERING-CONNECTION-ID" {
  value = aws_vpc_peering_connection.useast1-uswest-2.id
}
# Output IPs of Web and DB Instances
output "web_instance_ip" {
  value = aws_instance.web_instance.private_ip
}

output "db_instance_ip" {
  value = aws_instance.db_instance.private_ip
}

VPC Peering in an Action:

terraform init

terraform plan

terraform apply -auto-approve

Let's verify from the aws console

Us-west-1

web-instance

ca-central-a
db-instance

Verify that peering connection is Active in US-west-1

Verify vpc peering connectin in ca-central-1

Let's verify the connection from web-instance to db-instance on private connection

db-isntance private ip: 192.168.1.245

ping from web-instance to db instance on private connection is successful

ping from db-instance to web-instance on private ip 10.0.1.25

terraform destroy -auto-approve

Conclusion:
In conclusion, VPC Peering emerges as a foundational element for crafting intricate and interconnected AWS architectures. Its ability to simplify network communication, support cross-account connectivity, and enable transitive peering positions it as a versatile solution for a myriad of scenarios. As organizations navigate the complexities of modern cloud environments, VPC Peering stands as a reliable ally in building robust and scalable architectures.

Explore the power of VPC Peering to enhance the connectivity and collaboration between your AWS resources, creating a network infrastructure that aligns with the demands of today's dynamic cloud landscape.

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PRAFUL PATEL

🚀 Exporting Data from Amazon RDS to Amazon S3 Using AWS DMS 🌐📤

Praful Patel — Wed, 29 Nov 2023 23:15:26 +0000

🚀 Introduction:
The world of cloud computing demands streamlined and efficient data movement. Our exploration begins with understanding how to optimize this data transfer process, focusing on the synergy between Amazon RDS, a managed relational database service, and Amazon S3, a scalable and secure object storage solution. The star of our show is AWS Database Migration Service (DMS), which simplifies the complex task of migrating and replicating databases.

Features:

Data Replication:

Description: AWS DMS enables real-time data replication between various supported databases. Changes made in the source database are automatically reflected in the target, ensuring data consistency.
Use Cases: Continuous data synchronization, real-time reporting, and analytics.

Database Migration:

Description: DMS simplifies the migration of databases to and from the AWS Cloud. It supports homogeneous and heterogeneous migrations, allowing seamless transitions between different database engines.
Use Cases: Cloud migration, database version upgrades, and platform changes.

Change Data Capture (CDC):

Description: DMS captures and tracks changes in the source database, enabling incremental updates in the target. This feature is crucial for minimizing downtime during migrations.
Use Cases: Minimizing downtime during migrations, supporting ongoing application operations.

Schema Conversion:

Description: DMS assists in converting the source database schema to match the target database, ensuring compatibility during migrations between different database engines.
Use Cases: Migrating to a different database engine, ensuring seamless data structure transitions.

Data Filtering:

Description: DMS allows the selective migration of data based on specific criteria, reducing the need to migrate entire databases.
Use Cases: Migrating specific subsets of data, optimizing migration bandwidth.

Task Scheduling:

Description: DMS supports the scheduling of migration and replication tasks, allowing users to plan and automate data transfer activities.
Use Cases: Automating routine data transfer tasks, optimizing resource utilization.

Security and Encryption:

Description: DMS ensures the security of data during transit by supporting encryption options for data in motion.
Use Cases: Meeting security compliance standards, protecting sensitive data during migrations.

Pre-requisite:

Before embarking on this journey, ensure you have all the necessary prerequisites in place. This includes AWS credentials, appropriate access to your Amazon RDS instance, a configured S3 bucket, and the required permissions for AWS DMS.

🎯 Objective:
The primary goal of this blog post is to provide a step-by-step guide to exporting data from an Amazon RDS instance (specifically MySQL) to Amazon S3. We aim to empower users with the knowledge to automate and simplify this data export process, enabling them to harness the full potential of AWS services for their data management needs.

🚀 Use Case:
Consider a scenario where organizations frequently require the export of data from their Amazon RDS MySQL database to Amazon S3. This could be for various reasons such as running analytics, creating secure backups, or facilitating seamless collaboration across different services. Our use case centers around addressing the challenges and intricacies of this data export process, offering a practical and efficient solution.

Cloud Adoption:

Scenario: An organization is transitioning from an on-premises database to the AWS Cloud. DMS is employed to migrate the existing database to Amazon RDS with minimal downtime.

Database Version Upgrade:

Scenario: A company is upgrading its database engine version to leverage new features and improvements. DMS is utilized to perform the upgrade seamlessly, ensuring data integrity.

Continuous Data Synchronization:

Scenario: In a scenario where real-time data updates are critical, such as in e-commerce applications, DMS is used to replicate changes from the transactional database to a reporting database.

Data Warehousing:

Scenario: An organization wants to consolidate data from multiple databases into a central data warehouse on Amazon Redshift. DMS facilitates the ongoing data replication for analytics purposes.

Scenario Usage:

Scenario: Migrating from an On-Premises Oracle Database to Amazon Aurora MySQL Database

Setup:
- Set up source and target endpoints in AWS DMS for the Oracle database and Aurora MySQL database.
- Configure the necessary connection details, security settings, and migration task settings.
Data Replication:
- Initiate a full load of existing data from Oracle to Aurora using DMS.
- Activate Change Data Capture (CDC) to capture ongoing changes in the Oracle database.
Continuous Synchronization:
- Monitor the ongoing replication process to ensure real-time updates from Oracle to Aurora.
- Test the synchronization by making changes in the Oracle database and verifying their timely reflection in Aurora.
Schema Conversion:
- Utilize DMS schema conversion tools to handle any necessary schema transformations during the migration.
- Ensure compatibility between Oracle and Aurora MySQL data structures.
Completion:
- Once satisfied with the synchronization and migration, complete the DMS task.
- Redirect applications to use the Aurora MySQL database as the new primary data source.

🌐 Solution Diagram:

Tools & Technologies Covered:

AWS Cloud ☁️: Foundation for the solution, providing limitless possibilities for building and deploying applications.
Networking, VPC, Security Group, VPC Endpoint 🏞️: Ensures secure and efficient communication between services.
RDS (MySQL) 🗄️: Manages and maintains the MySQL database.
S3 📤: Scalable object storage for securely storing and retrieving data.
AWS Secret Manager 🔐: Safely stores and manages sensitive information.
AWS DMS (Database Migration Service) 🔄: Facilitates seamless data migration between databases.

Create VPC Endpoint:

Select VPC, Subnets and Security Group:

Click to create endpoint:

Copy the S3 VPC Endpoint ID:

Endpoint ID: vpce-08ec6969fd89be2fc

Go to S3 Service:

Select the Bucket created earlier:

Click to Permission - Edit:

![Image description](https://dev-to-uploads.s3.amazonaws

.com/uploads/articles/3x5rvrg346oijvs1a308.png)

Enter the policy to policy section:

{
    "Version": "2012-10-17",
    "Id": "Access-to-bucket-using-specific-endpoint",
    "Statement": [
        {
            "Sid": "Access-to-specific-VPCE",
            "Effect": "Allow",
            "Principal": "*",
            "Action": ["s3:List*", "s3:Put*", "s3:Get*"],
            "Resource": [
                "arn:aws:s3:::bucket-lab-rds-export-nbtwmnxdjwpsjtdi",
                "arn:aws:s3:::bucket-lab-rds-export-nbtwmnxdjwpsjtdi/*"
            ],
            "Condition": {
                "StringEquals": {
                    "aws:sourceVpce": "vpce-08ec6969fd89be2fc"
                }
            }
        },
        {
            "Sid": "Access-to-specific-iam-user",
            "Effect": "Allow",
            "Principal": {
                "AWS": "arn:aws:iam::715900322913:user/username"
            },
            "Action": ["s3:List*", "s3:Get*"],
            "Resource": [
                "arn:aws:s3:::bucket-lab-rds-export-nbtwmnxdjwpsjtdi",
                "arn:aws:s3:::bucket-lab-rds-export-nbtwmnxdjwpsjtdi/*"
            ]
        }
    ]
}

S3 Bucket policy successfully updated.

Go to Secret Manager:

Copy ARN of the stored secret:

Go to Database Migration Service:

Ensure that Replication instance is available:

Go to Migration Data > Endpoints Create Endpoint:

Endpoint created:

Create Target Endpoint:

Endpoint created:

Test Source Endpoint Connection:

Status: Testing:

Status: Successful:

Database Migration Tasks Create Task:

Task is in progress:

Task: Started:

Status: Load Complete:

Verify that "export" folder created in AWS S3 bucket:

Verify that .csv file is loaded into the S3 folder:

)

Open .csv file and verify that sample data is loaded

Conclusion:
In conclusion, the efficiency of exporting data from Amazon RDS to Amazon S3 plays a pivotal role in optimizing data workflows. Leveraging the capabilities of AWS DMS, we aim to simplify and automate this process, ensuring data integrity and accessibility. Join us on this journey as we unlock the power of AWS services in enhancing your data management strategies. 🌐📈🚀

AWS Ref: https://aws.amazon.com/dms/

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PRAFUL PATEL

🌐Seamless Network Connectivity - AWS Transit Gateway Deployment

Praful Patel — Wed, 22 Nov 2023 23:06:29 +0000

🚀 Introduction
In the dynamic realm of cloud infrastructure, the deployment of AWS Transit Gateway stands out as a revolutionary solution. This robust networking service enables seamless connectivity and efficient management of resources across multiple Amazon Virtual Private Clouds (VPCs). Join us on a journey where we unravel the intricacies of AWS Transit Gateway deployment, unlocking new possibilities for your organization's network architecture.

🎯 Objective

Our primary objective is to demystify the deployment process of AWS Transit Gateway, empowering organizations to build a flexible and scalable network infrastructure. From enhanced connectivity to simplified management, our exploration aims to equip you with the knowledge to optimize your network resources and elevate your cloud experience.

🚀 Use Case

Let's dive into a real-world scenario that demonstrates the tangible benefits of AWS Transit Gateway deployment for different departments within your organization.

Sales Department:
Imagine a scenario where the Sales team operates across various regions, each with its dedicated VPC. With AWS Transit Gateway, seamless communication is established between these VPCs, ensuring that sales applications and data are easily accessible. This not only enhances collaboration but also accelerates sales processes, contributing to increased efficiency and faster decision-making.

Marketing Department:
For the Marketing team, running campaigns often involves diverse applications and services distributed across different VPCs. AWS Transit Gateway streamlines the connectivity, allowing marketing resources to interact effortlessly. Whether it's accessing analytics data or coordinating marketing tools, the deployment ensures a unified and efficient network, boosting overall productivity.

HR Department:
In the HR domain, privacy and secure communication are paramount. AWS Transit Gateway facilitates a secure network environment, ensuring that HR-related applications and databases are interconnected with enhanced security measures. This ensures confidential employee data is transmitted securely, aligning with compliance standards and bolstering data integrity.

This use case exemplifies how AWS Transit Gateway deployment caters to the distinct needs of various departments within your organization, fostering collaboration, security, and efficiency.

Transit Gateway Features:

Hub and Spoke Architecture:

Description: AWS Transit Gateway follows a hub-and-spoke architecture, allowing centralized connectivity and management.
Global Reach:

Description: Transit Gateway supports a global network that spans multiple AWS Regions, providing a unified and scalable solution.
Inter-Region Peering:

Description: Facilitates peering between Transit Gateways in different regions, enabling seamless communication across regions.
VPN and Direct Connect Attachment:

Description: Connects remote networks using VPN and AWS Direct Connect, providing secure and reliable communication.
Routing Control:

Description: Offers flexible and granular routing control, allowing customization of the traffic flow within the network.
Network Manager Integration:

Description: Integrates with AWS Network Manager, simplifying the management of global networks and providing a centralized view.
Scale Out:

Description: Scales horizontally to accommodate a growing number of VPCs and on-premises networks, ensuring scalability.
Security Integration:

Description: Seamlessly integrates with AWS security features, allowing the enforcement of security policies across the network.
CloudWatch Metrics and Monitoring:

Description: Provides CloudWatch metrics for monitoring network performance and enabling proactive management.
Resource Group Tagging:

Description: Supports resource group tagging, making it easier to organize and manage resources within the Transit Gateway.
Multicast Support:

Description: Enables multicast traffic support, allowing the transmission of data to multiple recipients simultaneously.
Centralized Network Inspection:

Description: Facilitates centralized network inspection and monitoring for enhanced visibility and control.
Transit Gateway Connect:

Description: Introduces Transit Gateway Connect for simplified VPN connectivity and better traffic engineering capabilities.
VPC Ingress Routing:

Description: Offers VPC Ingress Routing, allowing for more granular control over the egress path of traffic leaving a VPC.

🛠️ Solution Diagram

Tools & Technologies Covered:

AWS cloud
AWS vpc
AWS subnets
AWS internet gateway
AWS route tables
AWS security groups
AWS EC2 machine
Transit Gateway

TRANSIT GATEWAY DEPLOYMENT

Create VPCs
Create Subnets
Create internet gateway
Attach internet gateway to VPCs
Create route tables • Subnet association • Add route entries
Create security groups
Transit gateway • Create transit gateway • Attach VPCs to transit gateway • Add routes between transit gateway and vpcs • Launch EC2 webservers in each vpcs • Test the transit gateway connectivity

Create VPCs

VPC VPC CIDR Block Availability Zone Availability Zone CIDR Block

VPC-01-HR 20.0.0.0/16 Us-east-1a 20.0.0.0/24

VPC-02-SALES 192.168.0.0/16 Us-east-1a 192.168.0.0/24

VPC-03-MRKT 172.10.0.0/16 Us-east-1a 172.10.0.0/24

Create VPC-01-HR

Create VPC-02-SALES

Create Subnets

VPC VPC CIDR Block Availability Zone Availability Zone CIDR Block

VPC-01-HR 20.0.0.0/16 Us-east-1a 20.0.0.0/24
Public-subne01-HR Us-east-1a 20.0.1.0/24
Private-subnet02-HR Us-east-1b 20.0.2.0/24
VPC-02-SALES 192.168.0.0/16 Us-east-1a 192.168.0.0/24

Public-subnet01-SALES Us-east-1a 192.168.1.0/24

Private-subnet02-SALES Us-east-1b 192.168.2.0/24

VPC-03-MRKT 172.10.0.0/16 Us-east-1a 172.10.0.0/24

Public-subnet01-MRKT Us-east-1a 172.10.1.0/24

Private-subnet02-MRKT Us-east-1b 172.10.2.0/24

VPC-01-HR 20.0.0.0/16 Us-east-1a 20.0.0.0/24
Public-subne01-HR Us-east-1a 20.0.1.0/24
Private-subnet02-HR Us-east-1b 20.0.2.0/24

VPC-02-SALES 192.168.0.0/16 Us-east-1a 192.168.0.0/24
Public-subnet01-SALES Us-east-1a 192.168.1.0/24
Private-subnet02-SALES Us-east-1b 192.168.2.0/24

VPC-03-MRKT 172.10.0.0/16 Us-east-1a 172.10.0.0/24
Public-subnet01-MRKT Us-east-1a 172.10.1.0/24
Private-subnet02-MRKT Us-east-1b 172.10.2.0/24

Create Internet gateway

Internet Gateway VPC-01-HR IGW01-HR 172.10.0.0/24
VPC-02-SALES IGW02-SALES 172.10.1.0/24
VPC-03-MRKT IGW03-MRKT 172.10.2.0/24

VPC-01-HR IGW01-HR

VPC-02-SALES IGW02-SALES

Attach to VPC

VPC-03-MRKT IGW03-MRKT 172.10.2.0/24

Attached to VPC

Create Route tables

VPC Route Tables
VPC-01-HR Public-RT01-HR
VPC-02-SALES Public-RT02-SALES
VPC-03-MRKT Public-RT03-MRKT

Edit routes – Add IGW

Subnet Association

Associate public HR subnet

Create Public-RT02-SALES

Add IGW

Subnet Association:

Associate public subnet

Create Route Public-RT03-MRKT

Add igw

Three route tables created

Create Transit gateway

Transit gateway: prafect-tgw

Create Transit gateway attachments:
Attachment01: VPC01-HR

Attachment02: VPC02-SALES

Attachment02: VPC03-MRKT

Association

Propagations

Routes

Update Route Tables of VPCs
VPC VPC CIDR Block Availability Zone Availability Zone CIDR Block

VPC-01-HR 20.0.0.0/16 Us-east-1a 20.0.0.0/24
VPC-02-SALES 192.168.0.0/16 Us-east-1a 192.168.0.0/24

VPC-03-MRKT 172.10.0.0/16 Us-east-1a 172.10.0.0/24

Add cross routes for VPC01-HR
Go to Route Table : public-RT01-HR
Add TGW routes for VPC02-SALES and VPC03-MRKT

VPC-02-SALES 192.168.0.0/16

VPC-03-MRKT 172.10.0.0/16

Add Cross route for VPC02-SALES

Select VPC02-SALES
Add routes for VPC01-HR and VPC03-MRKT
VPC-01-HR 20.0.0.0/16 Us-east-1a 20.0.0.0/24
VPC-03-MRKT 172.10.0.0/16 Us-east-1a 172.10.0.0/24

Cross routes added

VPC VPC CIDR Block Availability Zone Availability Zone CIDR Block

VPC-01-HR 20.0.0.0/16 Us-east-1a 20.0.0.0/24
VPC-02-SALES 192.168.0.0/16 Us-east-1a 192.168.0.0/24

Select Route table VPC-3-MRKT

Cross route added

Create Security Groups:

VPC01-HR
Security Group: Public-SG01-HR

Add rule:

Rule 1: All SSH , 22, source: 0.0.0.0/0
Rule 2: All ICMP, All, source: 0.0.0.0/0

VPC02-SALES
Security Group: Public-SG02-SALES

Add rules:
Rule 1: All SSH , 22, source: 0.0.0.0/0
Rule 2: All ICMP, All, source: 0.0.0.0/0

VPC02-MRKT
Security Group: Public-SG03-MRKT

Launch EC2 machines in each VPC’s

Repeat the same steps for VPC02-SALES & VPC03-MRKT

Launch webserver02-SALES

Launch webserver03-MRKT

All EC2 webservers launched

Verify the Connectivity from All VPC’s Webservers with each other
Check connectivity via TGW

Connect to EC2 webserver01-HR from VPC01-HR
Ping private IPs of VPC02-SALES – webserver02-SALES and VPC03-MRKT-webserver03-MRKT

Open webserver01-HR and connect

Click Connect

Get the Private IPs of both the webservers

Webserver02-SALES
Private ip: 192.168.1.173

Test the connection: Test 1 – From VPC01-HR to VCP02-SALES
Expected: The ping should return the ICMP response

Ping 192.168.1.173

Actual: The ping has returned the ICMP response

Ping successful to private ip from webserver01-HR to webserver02-SALES which are on two different departments’ VPC’s and connected through TGW

Webserver03-MRKT
Private ip: 172.10.1.155

Test the connection: Test 2 – From VPC01-HR to VCP02-MRKT

Expected: The ping should return the ICMP response

Ping 172.10.1.155

Actual: The ping has returned the ICMP response

Ping successful to private ip from webserver01-HR to webserver03-MRKT which are on two different departments’ VPC’s and connected through TGW

Connect to EC2 webserver02-SALES from VPC02-SALES

Ping private IPs of VPC01-HR – webserver01-HR and VPC03-MRKT-webserver03-MRKT

Open webserver02-SALES and connect

Click to Connect

Webserver01-HR
Private ip: 20.0.1.139

Test the connection: Test 1 – From VPC02-SALES to VCP01-HR

Expected: The ping should return the ICMP response

Ping 20.0.1.139

Actual: The ping has returned the ICMP response

Ping successful to private ip from webserver02-SALES to webserver01-HR which are on two different departments’ VPC’s and connected through TGW

Webserver03-MRKT
Private ip: 172.10.1.155

Test the connection: Test 2 – From VPC02-SALES to VCP02-MRKT

Expected: The ping should return the ICMP response

Ping 172.10.1.155

Actual: The ping has returned the ICMP response

Ping successful to private ip from webserver02-SALES to webserver03-MRKT which are on two different departments’ VPC’s and connected through TGW

Clean up project

In conclusion, the deployment of AWS Transit Gateway stands as a pivotal solution that seamlessly connects and manages the networking needs of various departments, including Sales, Marketing, and HR. This robust infrastructure allows for efficient communication, data transfer, and collaboration across the organization's different segments. By leveraging the power of AWS Transit Gateway, businesses can achieve enhanced scalability, simplified network management, and improved overall performance. As we navigate the evolving landscape of cloud technologies, embracing solutions like AWS Transit Gateway becomes integral to fostering a more connected, streamlined, and future-ready enterprise. Here's to unlocking the full potential of network architecture and paving the way for innovation in the digital era.

Connect with me on these platforms and stay updated with the latest in Cloud/DevOps technology and development! 🚀🔗😊

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🚀 Optimizing Web App Performance with AWS CloudFront, New Relic Monitoring, and Terraform Deployment

Praful Patel — Thu, 02 Nov 2023 21:55:05 +0000

🚀 Introduction

In today's rapidly evolving digital landscape, deploying web applications efficiently and ensuring optimal performance is essential for delivering a seamless user experience. This project aims to address these critical aspects by leveraging Infrastructure as Code (IAC) through Terraform, harnessing the content delivery power of AWS CloudFront, and implementing robust monitoring using New Relic.

🎯 Objective

The objective of this post is to bring and spread a knowledge about #aws cloud services, how to ? and where to consume the #aws services to solve the real world business challenges

🚀 Use Case:

Manual Deployment
Terraform (IaC) Deployment
New Relic Integration

This project aims to address these critical aspects by leveraging Infrastructure as Code (IAC) through Terraform, harnessing the content delivery power of AWS CloudFront, and implementing robust monitoring using New Relic.

Automated deployment of web applications is at the heart of this initiative, as it not only streamlines the provisioning of cloud infrastructure but also lays the foundation for future scalability across multiple cloud platforms, free from vendor lock-in constraints. By utilizing Terraform, a cloud-agnostic open-source tool, we ensure that our infrastructure can adapt to evolving requirements seamlessly.

The project also emphasizes the acceleration of web application performance through AWS CloudFront, a content delivery network (CDN) service. By strategically caching content at edge locations around the world, CloudFront enhances the user experience, minimizing latency and ensuring swift content delivery.

To maintain a vigilant eye on the performance and health of our web application, we integrate New Relic monitoring. This comprehensive tool provides us with invaluable insights into infrastructure visibility and response monitoring. With the aid of AWS Lambda functions, we securely send logs from our AWS S3 bucket to New Relic for real-time analysis.

This project not only underscores the importance of automated deployment and performance optimization but also provides a detailed, step-by-step guide for implementing these solutions. Whether you're new to these technologies or a seasoned professional, this project equips you with the knowledge and tools to harness the full potential of Terraform, CloudFront, and New Relic for your web applications.

🛠️ Solution Diagram:

The web application should deploy with the following criteria’s & requirements:

Requirement 1:
- The web application should be deployed within the AWS Cloud platform.
Requirement 2:
- The web application should be accessed securely.
Requirement 3:
- The viewer’s experience should be seamless without any delays while accessing the web content and pages.
Requirement 4:
- The web application should be accessible from around the world with a custom domain: www.prafect.link.
Requirement 5:
- The web application logs should be stored in object storage and then sent to third-party monitoring solutions.
Requirement 6:
- The web application should be deployed in an automated way without any vendor locking tools.

Solution:
Let’s discuss and analyze the solution for the above requirements:

Solution 1: AWS S3
- From the AWS Cloud platform, there is a service called S3, which provides a service to deploy a static web application.
Solution 2: AWS ACM
- AWS ACM is the solution that provides a wildcard certificate through which the web application can be secured with SSL/TLS communication.
Solution 3: AWS Cloudfront
- AWS Cloudfront is the content delivery network service through which the web app content will be cached on edge locations nearby the viewers' proximity to improve the user's experience.
Solution 4: AWS Route 53
- AWS Route 53 provides a DNS service through which the web application can have its own custom domain: www.prafect.link.
Solution 5: AWS S3
- AWS S3 provides a service to store the logs and push the logs to an external monitoring tool. New Relic can be used, where S3 logs will be pushed to New Relic using a Lambda function.
Solution 6: Terraform
- Terraform is the solution to provision the resources and infrastructure in an Infrastructure as Code (IAC) way. It's a cloud-agnostic open-source tool that can further scale up based on the requirements for multi-cloud.

Project Cost Estimation:
(Note: This cost is not any actual cost; it's just an estimation based on high-level requirements. Prices may vary based on adding and removing services based on requirements.)
Ref: AWS Pricing Calculator

Host a Static Website on AWS: Services Costs

Tools & Technologies Covered:

AWS Cloud
AWS S3
AWS Certificate Manager
AWS Cloudfront
AWS Route 53
AWS Lambda
AWS CloudWatch
New Relic (Monitoring)
Terraform (Infrastructure as Code)
Visual Studio Code (IDE)
GitHub

Ref: AWS Services Documentation:
AWS S3: https://docs.aws.amazon.com/AmazonS3/latest/userguide/access-bucket-intro.html
AWS Cloudfront:
https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/GettingStarted.SimpleDistribution.html

Pre-requisite:

AWS Free Tier Account
AWS IAM User created with programmatic access
AWS Route53 hosted domain
Visual Studio Code configured
Latest Terraform version installed
GitHub Account
Gitbash installed on desktop
New Relic account set up
Web application source code ready

AGENDA:
To achieve the goal of explaining the user how to configure each and every service within the console to make them familiar with the ins and outs of all service components, and then to present the automated way in which the entire web application resources are provisioned within a few minutes using Terraform (IaC).

a. Manual way web application configuration and optimizing web speed to accelerate web performance.

b. Automated way using Terraform to deploy the complete web application.

MANUAL DEPLOYMENT

1. Set up Web Application:

Step 1: Register a Custom Domain with Route 53
Step 2: Create Two Buckets
Step 3: Configure Your Root Domain Bucket for Website Hosting
Step 4: Configure Your Subdomain Bucket for Website Redirect
Step 5: Configure Logging for Website Traffic
Step 6: Upload Index and Website Content
Step 7: Upload an Error Document
Step 8: Edit S3 Block Public Access Settings
Step 9: Attach a Bucket Policy
Step 10: Test Your Domain Endpoint
Step 11: Add Alias Records for Your Domain and Subdomain
Step 12: Test the Website

2. Perform Latency Test without Cloudfront:

a. Test from Canada
b. Test from London
c. Test from Singapore

3. Configure Certificate Manager to Make the Website Secure:

a. Request a Certificate
b. Validate - Add CNAME Records to Route53
c. Redirection Bucket – Change the Request Server from HTTP to HTTPS

4. Accelerate Web Performance Using Cloudfront:

a. Create Cloudfront Distribution
b. Validate that Cloudfront Domain is Displayed on the Web
c. Point Cloudfront Endpoint with Route53 Custom Domain
d. Measure the Latency Test with Cloudfront
- i. Test from Canada
- ii. Test from London
- iii. Test from Singapore

** Implementation in Action:**

Set up Web application

Step 1: Register a custom domain with Route 53

Step 2: Create two buckets

Main bucket: prafect.link
Second bucket: www.prafect.link

Step 3: Upload index and website content
Step 4: Upload an error document

Go to local terminal
AWS Configure : provide credentials
Go to source code directory: webfiles
aws s3 sync . s3://prafect.link

Step 5: Configure your root domain bucket for website hosting
Enable Static web

Step 6: Configure your subdomain bucket for website redirect
Bucket redirection: www.prafect.link

Step 7: Edit S3 Block Public Access settings
Buck Policy:

Step 9: Test your domain endpoint

Verify that “index.html” is displayed the web page
Access web page using endpoint
S3 web endpoint
URL : http://prafect.link.s3-website-us-east-1.amazonaws.com
index.html

Verify that “error.html” is displayed the error page
Access “error.html”

Step 10: Add alias records for your domain and subdomain
Add Custom domain with Route53
Verify that hosted zone exist

Create A record to add custom domain to web application
Prafect.link
Point out alias to AWS S3 website Endpoint

Create second alias for www.prafect.link

Step 11: Test the website
Access the web application using custom domain
www.prafect.link

Perform Latency test without Cloudfront a. Test from Canada b. Test from London c. Test from Singapore

Measure the performance of the web application
Certainly, here is the performance measurement presented in a table format:

Origin	Region	Page	DNS (ms)	Connection (ms)	Response (ms)
Canada	US-east-1	Home Page	189.39	102.67
		Contact Us	48.25	154.24
		Portfolio	49.70	123.31
London		Home Page			322.29
		Contact Us			347.94
		Portfolio			533.79
Singapore		Home Page			789.50
		Contact Us			762.48
		Portfolio			792.65

Validate response header that it is coming from Amazon S3

Test 1: Access from Canada
Home Page

About US

Portfolio

Switch the location using VPN other than Canada to test the latency

Country : London

HomePage

Portfolio

Country: Singapore
HomePage

About Us

Portfolio

3.Configure the Certificate Manager
How to secure Web application?
1.Request a certificate
Certificate Manager
SSL Certificate
Request certificate

Status: Pending Validation

2.Create records in Route53

3.Go to Route53 and validate that two CNAME records created

SSL certificate issued successfully

Verify that web application is access using secure https
http://www.prafect.link : not secure

Do one change on redirection bucket and redirect to “https” Change from “http” to “https”

5.Accelerate the web performance using Cloudfront

a. Create cloudfront distribution
b. Validate that cloudfront domain is displayed on the web
c. Point the cloudfront endpoint with the Route53 custom domain
d. Measure the Latency test with Cloudfront
i. Test from Canada
ii. Test from London
iii. Test from Singapore

Create Cloudfront distribution
Origin domain: Provide AWS S3 web endpoint:
http://prafect.link.s3-website-us-east-1.amazonaws.com

Use only North America and Europe

Cloudfront deployment in progress

Cloudfront deployed

Custom origin

Validate that cloudfront domain is correctly deployed

Access web application using cloudfront url
URL: https://d3hffwkpocdftx.cloudfront.net

Security Checkpoint:

How to Secure AWS S3 web end point and restrict to access the web application allowing access through only Cloudfront web endpoint ?

Go to S3 Bucket policy
Go to Origin
Edit Origin

Replace this Bucket policy with cloudfront policy
{
"Version": "2012-10-17",
"Statement": [
{
"Sid": "PublicReadGetObject",
"Effect": "Allow",
"Principal": "",
"Action": "s3:GetObject",
"Resource": "arn:aws:s3:::prafect.link/"
}
]
}

{
"Version": "2008-10-17",
"Id": "PolicyForCloudFrontPrivateContent",
"Statement": [
{
"Sid": "AllowCloudFrontServicePrincipal",
"Effect": "Allow",
"Principal": {
"Service": "cloudfront.amazonaws.com"
},
"Action": "s3:GetObject",
"Resource": "arn:aws:s3:::prafect.link/*",
"Condition": {
"StringEquals": {
"AWS:SourceArn": "arn:aws:cloudfront::914141388779:distribution/EU0BLI2K9XWK3"
}
}
}
]
}

Restrict to access from S3 web endpoint and allow only from cloudfront distribution endpoint

Access Web url:
Expected: it should block the request using S3 endpoint : PASSED

Only allowed using cloudfront endpoint

Point out Cloudfront URL to Route53

Replace the s3 web endpoint with cloudfront endpoint
Delete the record sets

Create New record set for Prafect.link
Routing Policy: Simple Routing

Create New record set for www.Prafect.link

Record sets created successfully

Measure the performance of the web application
Perform Latency test

Region	Cloudfront	Page	DNS	Connection	SSL	Response

Canada	No Cloudfront	Home Page	189.39 ms	102.67 ms
	With Cloudfront	Home Page	1.06 ms	22.08 ms
	No Cloudfront	Contact Us	48.25 ms	25.33 ms	22.59 ms
	With Cloudfront	Contact Us	46.67 ms
	No Cloudfront	Portfolio	49.70 ms	123.31 ms
	With Cloudfront	Portfolio	65.42 ms	25.43 ms	25.43 ms	23.75 ms

London	No Cloudfront	Home Page		322.29 ms
	With Cloudfront	Home Page	121.18 ms	121.18 ms	121.18 ms	252.88 ms
	No Cloudfront	Contact Us		347.94 ms
	With Cloudfront	Contact Us	122.69 ms	122.69 ms	125.31 ms
	No Cloudfront	Portfolio		533.79 ms
	With Cloudfront	Portfolio	120.55 ms	120.55 ms	119.54 ms

Singapore	No Cloudfront	Home Page		789.50 ms
	With Cloudfront	Home Page	375.48 ms	375.48 ms	409.51 ms
	No Cloudfront	Contact Us		762.48 ms
	With Cloudfront	Contact Us	294.09 ms	388.27 ms	390.91 ms
	No Cloudfront	Portfolio		792.65 ms
	With Cloudfront	Portfolio	382.05 ms	382.05 ms	378.65 ms

Validate that web application is secure

Verify Header that the page is coming from cloudfront cache

Test from Canada
HomePage

About Us

Test from London

Home Page

Portfolio

Test from Singapore

Home Page

Portfolio

Optimize the Cloudfront performance
Point DNS to United Kingdom
Change the Routing Policy: Geolocation
Location: United Kingdom

Keep alive time

Change the timeout to 60

Cloudfront speed increase tips:
Cloudfront – Keep alive time need to increate: 60
DNS TTL time – need to increase: 60
SSL time need to increase

Cloudwatch

NEW RELIC

INTEGRATION

Objective: The objective is to monitor Cloudfront logs using the external monitoring tool New Relic and integrate it with AWS S3. This will be achieved by implementing comprehensive monitoring through an AWS Lambda function. The Lambda function will be configured to trigger and send Cloudfront logs from an AWS S3 bucket to New Relic, providing infrastructure visibility and response monitoring.

Technology & Tools: New Relic, AWS S3, AWS Lambda

New relic

Select AWS

Standard logs
https://docs.newrelic.com/docs/logs/forward-logs/cloudfront-web-logs/#enable-standard-logging

Create logs bucket in S3

Enable standard logging
Go to Cloudfront Enable standard logging

Go to this link: https://serverlessrepo.aws.amazon.com/applications
Search: newrelic

Click :Deploy

1.Scroll to the Application settings and enter your New Relic license key.

Logtype: built in parsing rulesets : https://docs.newrelic.com/docs/logs/ui-data/built-log-parsing-rules/
Deployment in progress

Lambda deployment complete

Create Lambda trigger

Add Trigger

Trigger added successfully

Go back to newrelic
If configure correct it will look like this

View logs

Objective: Automating Web Application Performance Enhancement

Objective: The objective is to automate the provisioning of services and configure CloudFront to improve the performance of a web application.

Technology & Tools: AWS S3, Terraform, CloudFront

Terraform
Terraform project source:
GitHub: https://github.com/prafulpatel16/terraform-aws-tests.git
Project directory: gocloud-test/10-tf-static-web-complete/

WHAT IS TERRAFORM ?

HashiCorp Terraform is an infrastructure as code tool that lets you define both cloud and on-prem resources in human-readable configuration files that you can version, reuse, and share. You can then use a consistent workflow to provision and manage all of your infrastructure throughout its lifecycle. Terraform can manage low-level components like compute, storage, and networking resources, as well as high-level components like DNS entries and SaaS features.

How does Terraform work?

HashiCorp and the Terraform community have already written thousands of providers to manage many different types of resources and services. You can find all publicly available providers on the Terraform Registry, including Amazon Web Services (AWS), Azure, Google Cloud Platform (GCP), Kubernetes, Helm, GitHub, Splunk, DataDog, and many more.

The core Terraform workflow consists of three stages:

Definition: You define resources, which may span multiple cloud providers and services. For example, you might create a configuration to deploy an application on virtual machines in a Virtual Private Cloud (VPC) network with security groups and a load balancer.

Planning: Terraform creates an execution plan describing the infrastructure it will create, update, or destroy based on the existing infrastructure and your configuration.

Application: On approval, Terraform performs the proposed operations in the correct order, respecting any resource dependencies. For example, if you update the properties of a VPC and change the number of virtual machines in that VPC, Terraform will recreate the VPC before scaling the virtual machines.

Implementation Phase:

Phase 1: AWS Cloud Configuration via Terminal

Go to GitBash terminal and execute the command "aws configure."
Provide the IAM user's secret key and secret access key.
Set the AWS region to "us-east-1."
Specify the output type as "json."

Phase 2: Create Terraform Project and Define Terraform Files and Folders

Open Visual Studio Code (VS Code) and create a new folder named "tf-static-web."
Organize the file structure for the Terraform project: a. Create a new file "01-providers.tf." b. Create a new file "02-main.tf." c. Create a new file "03-variables.tf." d. Create a new file "04-outputs.tf." e. Create a new file "terraform.tfvars." f. Create a folder for the web application source code, named "webfiles," and upload the web application files into it.
Save all the created files within VS Code.

Phase 3: Configure and Write Terraform Resources into Respective Files

Open the "01-providers.tf" file and define the Terraform and provider blocks.
Open the "02-main.tf" file and write all the necessary S3 resources.
Open the "03-variables.tf" file and define the variables for dynamic access.
Open the "04-outputs.tf" file and specify the required outputs.
Open the "terraform.tfvars" file and configure variables for dynamic access that will override default variable values.

Phase 4: Terraform fmt, Terraform validate, Terraform plan

Go to the Git Bash terminal and execute the following Terraform commands:
Run "terraform init."
Execute "terraform fmt."
Validate the configuration with "terraform validate."
Apply the configuration with "terraform apply."
Observe that the "terraform.tfstate" is stored locally.

Phase 5: Verify that Resources Are Created in AWS Cloud

Access the AWS S3 console and confirm that the bucket has been created.
Verify that the web files have been uploaded to the bucket.
Confirm that the necessary permissions have been configured.
Ensure that the web endpoint has been created.

Phase 6: Verify that the Web Application Is Accessible Successfully

In the terminal, examine the output values.
Copy the endpoint URL and access it from a web browser.
Confirm that the "index.html" displays the web page.
Validate that the "error.html" is displayed as the error page.

AWS Configuration:

Go to terminal and type
$aws configure

Terraform file structure:

Phase 2: Create Terraform Project and Define Terraform Files and Folders

Open Visual Studio Code (VS Code) and create a new folder named "tf-static-web."
Organize the file structure for the Terraform project: a. Create a new file "01-providers.tf." b. Create a new file "02-main.tf." c. Create a new file "03-variables.tf." d. Create a new file "04-outputs.tf." e. Create a new file "terraform.tfvars." f. Create a folder for the web application source code, named "webfiles," and upload the web application files into it.

Phase 3: Configure and Write Terraform Resources into Respective Files

Open the "01-providers.tf" file and define the Terraform and provider blocks.
Open the "02-main.tf" file and write all the necessary S3 resources.
Open the "03-variables.tf" file and define the variables for dynamic access.
Open the "04-outputs.tf" file and specify the required outputs.
Open the "terraform.tfvars" file and configure variables for dynamic access that will override default variable values.

01_Providers.tf

Terraform block
Providers block
Terraform block
Providers file contains terraform block which includes a “backend” configurations for state file storage and also “required_provisioners” contains a source and version of the terraform provider.
Providers block

This block contains a cloud providers information about region and profile on which the cloud services needs to be provisioned.

02_main.tf

03_variables.tf

04_outputs.tf

05_terraform.tfvars.tf

Webfiles

AWS configured successfully

Phase 4: Terraform fmt, terraform validate, terraform plan

1) Go to git bash terminal and apply the terraform commands
2) Terraform init
3) Terraform fmt
4) Terraform validate
5) Terraform apply
6) Observe that “terraform.tfstate” is stored locally

Terraform init

Terraform fmt

Terraform validate

Terraform plan

Terraform apply

static-web-statefile
Terraform.tfstate

Phase 5: Verify that resources are created In AWS cloud

1) Go to AWS S3 and verify that bucket is created
2) Verify that web files are uploaded into bucket
3) Verify that permission has been created

Terraform destroy

4) Verify that web endpoint is created

Phase 6: Verify that web application accessible successfully

1) Go to terminal and observe the outputs value
2) Copy the endpoint url and access from web browser
3) Verify that “index.html” is displayed the web page
4) Verify that “error.html” is displayed the error page

Terraform destroy

Conclusion:

This project successfully optimized web application performance with AWS CloudFront, New Relic, and Terraform. We deployed a secure, globally accessible web app using Terraform's infrastructure as code (IAC). By fine-tuning latency, implementing SSL/TLS, and integrating CloudFront, we significantly improved user experience. Leveraging AWS Lambda, we monitored CloudFront logs and pushed data to New Relic, enhancing infrastructure visibility. This project demonstrates the power of cloud-native solutions and monitoring tools in delivering fast, reliable web applications.

Congratulations!!!! 🔥🚀

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🌐 Seamless Web App Integration with RDS MySQL & Automated Deployment 🤖

Praful Patel — Wed, 25 Oct 2023 03:15:15 +0000

🚀 Introduction

In the ever-evolving landscape of cloud computing, efficiency and automation are the keys to success. Imagine a seamless integration between Amazon Elastic Compute Cloud (EC2) instances and Amazon Relational Database Service (RDS) using the powerful tool, Terraform. This journey embarks on an exciting exploration of how to effortlessly bring these two fundamental AWS services together, streamlining your infrastructure deployment process while minimizing manual configuration steps. Let's delve into this automation adventure step by step, unlocking the full potential of your AWS resources! 🌐🛠️💼

🎯 Objective

The objective of this post is to bring and spread a knowledge about #aws cloud services, how to ? and where to consume the #aws services to solve the real world business challenges

🚀 Use Case:

Imagine seamlessly integrating your web application with an RDS MySQL database while automating the entire deployment process. In a real-time use case scenario, this means that when your web application needs to access or store data, it can do so effortlessly with the RDS MySQL database. This integration ensures your application can quickly and efficiently manage user data, transactions, or any other data-related functions without manual intervention.

Moreover, by automating the deployment process, you eliminate the need for manual configuration and setup. When your web application needs to scale, recover from failures, or adapt to changes, it can do so automatically. This ensures that your application remains responsive, available, and resilient, providing a seamless experience for both users and administrators.

This real-time use case exemplifies how combining RDS MySQL with automated deployment can streamline your web application's data management, making it more robust and adaptable to the demands of a dynamic online environment.

Challenge: Automating RDS Endpoint and MySQL Connection String

Objective: Can you automate the generation of an RDS endpoint and MySQL connection string using Terraform?

Scenario: You're managing a dynamic cloud environment, and part of your task involves setting up an RDS database. To ensure the applications running on your EC2 instances can seamlessly connect to the database, you need an automated way to retrieve the RDS endpoint and construct the MySQL connection string.

Challenge: Create a Terraform solution that automatically fetches the RDS endpoint and uses it to construct the MySQL connection string in the user_data section of an EC2 instance.

Solution: In your Terraform configuration, you can use the templatefile function to automatically generate the MySQL connection string with the RDS endpoint and other database credentials. Here's an example of how this can be achieved in

Terraform:

user_data = templatefile("user_data.tfpl", { rds_endpoint = "${aws_db_instance.rds.endpoint}", user = var.database_user, password = var.database_password, dbname = var.database_name })

This code automatically fetches the RDS endpoint (aws_db_instance.rds.endpoint) and uses it to construct the MySQL connection string in the user_data section of your EC2 instance.

With this solution, you've automated the process of setting up the MySQL connection, ensuring that your EC2 instances can seamlessly connect to the RDS database without manual intervention. 🚀🔗🤖

Tools & Technologies Covered in Our AWS Cloud Infrastructure Journey 🛠️🌐

AWS Cloud ☁️: Our foundation for this journey, the AWS Cloud, provides limitless possibilities for building and deploying applications.

VPC 🏞️: The Virtual Private Cloud gives us control over our network environment.

Subnets 🌐: These segments of the VPC help us organize and secure resources effectively.

Internet Gateway 🚪: The gateway to the internet, enabling external access and communication.

Route Tables 🚦: These are like roadmaps for network traffic within the VPC, ensuring data flows where it should.

Security Groups 🔒: Acting as virtual bouncers, security groups manage inbound and outbound traffic to keep our resources safe.

EC2 Machine 💻: Elastic Compute Cloud instances are like virtual Swiss Army knives, ready to handle various computing tasks.

RDS Database - MySQL 🗄️: Amazon RDS provides us with a managed MySQL database to store and manage our data securely.

Mobaxterm SSH Client 🚀: Mobaxterm gives us the keys to securely access and manage our EC2 instances using SSH.

Terraform ⛏️: This Infrastructure as Code tool automates the provisioning of cloud resources with elegance.

Shell Script 🐚: Good ol' shell scripts, our trusty sidekicks for automating tasks and configurations.

🛠️ Solution Diagram:

Streamlining Web App Integration with RDS MySQL and Terraform Automation

🚀 GitHub Repository: terraform-aws

02-aws-rds-integration-tf

📂Description:

Amazon Elastic Compute Cloud (Amazon EC2) ⚙️ provides on-demand, scalable computing capacity in the Amazon Web Services (AWS) Cloud ☁️. Using Amazon EC2 reduces hardware costs 💰, allowing you to develop and deploy applications faster ⏩. You can use Amazon EC2 to launch as many or as few virtual servers as you need, configure security 🔐 and networking 🌐, and manage storage 📂. You can add capacity (scale up) to handle compute-heavy tasks, such as monthly or yearly processes 📅, or spikes in website traffic 🚀. When usage decreases, you can reduce capacity (scale down) again ⬇️.

Features of EC2:

Instances

Amazon Machine Images (AMIs)

Instance types

Key pairs

Instance store volumes

Amazon EBS volumes

Regions, Availability Zones, Local Zones, AWS Outposts, and Wavelength Zones

Security groups

Elastic IP addresses

AWS #CloudEngineering #CloudComputing #AmazonWebServices #AWSArchitecture #DevOps #CloudSolutions #CloudSecurity #InfrastructureAsCode #AWSCertification #Serverless #AWSCommunity #TechBlogs #CloudExperts #CloudMigration #CloudOps #AWSJobs #TechIndustry #CareerInTech #InnovationInCloud #devops #cloudengineerjobs #devopsjobs #azure #gcp #oci #cloudjobs

🌐 Automated Import of Data Dump and Initialization of an AWS RDS Database

Praful Patel — Mon, 23 Oct 2023 02:57:23 +0000

🚀 Introduction

In the dynamic world of cloud computing, mastering the right tools and technologies is the key to unleashing your full potential. In this journey, we'll explore a comprehensive toolkit of AWS services and other essential tools that every cloud enthusiast and aspiring cloud engineer should be familiar with. Buckle up as we dive into a world of cloud possibilities!

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Objective:

The objective of this post is to bring and spread a knowledge about #aws cloud services, how to ? and where to consume the #aws services to solve the real world business challenges

Description:

🚀 Use Case:

In a real-world scenario, our database team faced the challenge of deploying database services and importing substantial data dumps for a migration project. This project aimed to transfer a large volume of data into a MySQL database before launching a web application.

💡 Solution:

I embraced this challenge and embarked on a mission to efficiently resolve the migration of massive data dumps to an #aws RDS MySQL database. And I did it the smart way - with automation, leveraging the power of Terraform.

Solution Diagram:

Stay tuned for an exciting journey into the world of seamless database migration in the AWS cloud. 🌥️💾💼

The solution:

1. Manual way create AWS RDS MySQL instance
*2. Automated way create AWS RDS instance and import datadump .sql file *

💻Tools & Technologies Covered

Let's take a closer look at the tools and technologies we'll be delving into:

AWS Services

🌐 VPC (Virtual Private Cloud) - Create isolated network environments in the AWS cloud.
🔒 Security Groups - Define and manage inbound/outbound traffic rules to your AWS resources.
💻 EC2 Machine (Elastic Compute Cloud) - Launch scalable virtual servers in the cloud.
🗄️ AWS RDS (Relational Database Service) - MySQL - Manage MySQL databases with ease, handled by AWS.

Other Tools

🔧 Terraform - The Infrastructure as Code tool to automate and manage cloud resources.
🐙 GitHub - Collaborate, store, and version your code effectively.
🖋️ VS Code (Visual Studio Code) - A versatile, free code editor for a seamless development experience.

**1. Manual way create AWS RDS MySQL instance

Search enter RDS,from AWS Console and click the RDS result under Services:

RDS dashboard, click Subnet Groups from the left-hand menu: Subnet Groups

Create Security Group

Create Database

Go to AWS systems manager
Click to Session Manager

Session manager started

Go to RDS instance and copy the RDS Endpoint

mysql -h -u username -p dbname

*Now Let's do it complete automated way How to import database into database using terraform
*

2. Automated way create AWS RDS instance and import datadump .sql file **

Objective:
The objective of this task is to import "obbs" data to AWS RDS automated way.

Step-by-Step Instructions
Follow these steps to automate the deployment of the AWS RDS and the initialization of the database:

Make sure you have the Terraform configuration files (main.tf, variables.tf, and outputs.tf) in a directory.

Place your obbs.sql file and connect_to_rds.sh script in the same directory.

Open a terminal and navigate to the directory containing your Terraform files and the SQL dump file.

Run terraform init to initialize the working directory.

Run terraform plan to see the execution plan for your infrastructure.

If the plan looks correct, apply the configuration with terraform apply.

Terraform will prompt you to confirm the plan. Enter yes to proceed.

Terraform will provision the RDS instance and the EC2 instance, copy the SQL dump file and script to the EC2 instance, and execute the script to connect to the RDS instance and import the SQL dump.

Once the process is complete, Terraform will output the RDS endpoint.

You have successfully automated the deployment of an AWS RDS database and initialized it with your SQL dump file.

Project Structure:

Implementation:

Step 1: Initializing Terraform

The journey begins with initializing Terraform in your project directory:

terraform init

Step 2: Planning the Deployment

Use Terraform to plan your infrastructure deployment:

terraform plan

Step 3: Executing the Deployment

Now, let's apply the deployment:

terraform apply

Step 4: Verification and Validation

With the deployment complete, it's time to verify and validate that Terraform has automated the process. Here's what you need to do:

A. Logging into EC2

ssh -i <your-key-pair.pem> ec2-user@<your-ec2-public-ip>

B. Accessing RDS Services

In the AWS Management Console, go to the RDS service and click on "Databases."

C. Obtaining the RDS Endpoint

Click on your RDS database and navigate to "Connectivity & Security" to copy the RDS endpoint.

D. Establishing RDS Login

Go back to your EC2 terminal and provide the login string to access your RDS instance:

mysql -h <rds-endpoint> -u <username> -p

Step 5: Success!

Login to the RDS database is successful. Now, let's verify that the "obbs" database is created automatically using the following MySQL commands:

Show databases:

show databases;

Use the "obbs" database:

use obbs;

Confirm that the data tables have been successfully imported into the "obbs" database:

Deploying an automated data dump import to an AWS RDS MySQL database is a powerful way to streamline your database management. However, like any technical project, this process comes with its fair share of challenges. In this blog post, we'll explore two major hurdles faced during this endeavor and how we successfully overcame them with the help of Terraform and some creative problem-solving.

🚧 Challenge #1: RDS Remote Login Issues
The first obstacle we encountered was related to RDS remote login. The RDS endpoint provided by AWS includes the port in the connection string, which is common and expected for most manual configurations. However, Terraform handles this differently. It assumes the default port (3306) for MySQL, and when you try to use the endpoint with the port in Terraform's automated setup, it results in login failures.

🛠️ Challenge #1 Solved:
To resolve this issue, we devised a simple yet effective solution using a shell script. We created a custom script called connect_to_rds.sh to connect to the RDS database. Inside this script, we extracted the RDS endpoint provided by AWS, removed the port, and used the modified endpoint for the database connection. This quick workaround allowed us to use the RDS endpoint without specifying the port, aligning with Terraform's expectations.

🚧 Challenge #2: Uploading the Initiation File
The second challenge we encountered was the need to upload the rds-db.sql file to the EC2 instance. Manually copying files to the remote server can be a hassle, and Terraform encourages automation. We needed a solution to automate this file transfer.

🛠️ Challenge #2 Solved:
Terraform offers a versatile provisioner called the "file" provisioner, which allows you to copy files to remote machines. By leveraging this provisioner, we were able to automate the upload of the rds-db.sql file to the EC2 instance with ease. This eliminated the need for manual intervention and ensured that the database initialization process was entirely automated.

Conclusion:
Facing and overcoming challenges is an integral part of any technical project. In the case of deploying automated data dump imports to an AWS RDS MySQL database, understanding the intricacies of Terraform, AWS, and their interactions played a crucial role in our success.

By sharing these challenges and their solutions, we hope to assist others who may encounter similar obstacles during their automation journey. With the right tools, creative thinking, and a bit of determination, you can automate your database management processes and enjoy the benefits of efficiency and reliability.

🚀 Follow My Blog: Automated Import of Data Dump and Initialization of an AWS RDS Database

Stay updated with the latest tech insights and tutorials! 📚🔗

Happy automating! 🚀

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AWS #CloudEngineering #CloudComputing #AmazonWebServices #AWSArchitecture #DevOps #CloudSolutions #CloudSecurity #InfrastructureAsCode #AWSCertification #Serverless #AWSCommunity #TechBlogs #CloudExperts #CloudMigration #CloudOps #AWSJobs #TechIndustry #CareerInTech #InnovationInCloud #devops #cloudengineerjobs #devopsjobs #azure #gcp #oci #cloudjobs

ECS Fargate Containers 🚢**

Praful Patel — Sat, 19 Aug 2023 00:08:32 +0000

📦 Containers:
Mastering ECS Fargate Containers 🚢**

Unlocking the Power of AWS Fargate for Containerized Applications 🌟

Are you ready to step into the world of AWS containerization and take your skills to the next level? In this comprehensive blog post, we're going to dive deep into Amazon Elastic Container Service (ECS) Fargate. 🛠️📚

Table of Contents:

Introduction to ECS Fargate: Embracing Serverless Containers 🚀
Understanding Container Types: Unveiling the Power of Fargate 💡
Use Cases Galore: Discover Fargate's Versatility 🌐🏭🔒
Real-time Advantages and Considerations: Pros and Cons of Fargate 📊📉
Navigating the Pricing Model: Calculating the Cost of Fargate 💰
Deployment Demystified: How to Launch Services on ECS Fargate 🚀📦
Best Practices and Tips: Navigating the Fargate Landscape 🌱
Getting Started with ECS Fargate: Your Path to Community Builder Status 🔑🌟

1. Introduction to ECS Fargate: Embracing Serverless Containers 🚀

ECS Fargate revolutionizes the way you deploy, manage, and scale containers without needing to manage the underlying infrastructure. Let's embark on this journey by understanding its container types, starting with serverless Fargate!

2. Understanding Container Types: Unveiling the Power of Fargate 💡

We'll explore the different container types offered by Fargate, from tasks to services. Dive into how Fargate changes the game by abstracting away the host infrastructure.

3. Use Cases Galore: Discover Fargate's Versatility 🌐🏭🔒

Uncover Fargate's diverse use cases, from web applications to batch processing and beyond. Learn how Fargate's flexibility adapts to various workloads.

4. Real-time Advantages and Considerations: Pros and Cons of Fargate 📊📉

Every technology has its trade-offs. We'll discuss Fargate's real-time advantages and considerations, empowering you to make informed decisions.

5. Navigating the Pricing Model: Calculating the Cost of Fargate 💰

Understand Fargate's pricing model and how it fits into your budget. We'll explore the variables that influence costs and provide tips for cost optimization.

6. Deployment Demystified: How to Launch Services on ECS Fargate 🚀📦

Let's get hands-on! We'll guide you through deploying services using ECS Fargate. Learn about task definitions, networking, and managing containerized applications.

7. Best Practices and Tips: Navigating the Fargate Landscape 🌱

Discover best practices to optimize your Fargate deployments, including security, performance, and monitoring considerations.

Introduction to ECS Fargate: Embracing Serverless Containers 🚀
In the dynamic landscape of cloud computing, Amazon ECS Fargate has emerged as a game-changer. This section introduces you to the essence of ECS Fargate – serverless containers that let you focus on your application logic without managing the underlying infrastructure. We'll discuss the concept of serverless containers, how ECS Fargate fits into the container ecosystem, and the benefits it brings to the table.

Understanding Container Types: Unveiling the Power of Fargate 💡
Diving deeper into ECS Fargate, let's explore the various container types it offers. From tasks to services, Fargate empowers you to manage containers without the need to provision or manage servers. We'll discuss the nuances of these container types, highlighting their features, benefits, and when to use each.

Use Cases Galore: Discover Fargate's Versatility 🌐🏭🔒
The versatility of ECS Fargate shines through its diverse use cases. Whether you're running web applications, batch processing, or data analysis, Fargate adapts to your workload needs. We'll walk through real-world scenarios where Fargate's flexibility and efficiency come into play, showcasing how it can revolutionize your application architecture.

Real-time Advantages and Considerations: Pros and Cons of Fargate 📊📉
As with any technology, ECS Fargate comes with its set of advantages and considerations. In this section, we'll delve into the real-time benefits that Fargate offers, such as rapid scalability, simplified management, and cost optimization. Additionally, we'll discuss important considerations, including limitations, networking aspects, and compatibility.

Navigating the Pricing Model: Calculating the Cost of Fargate 💰
Understanding the pricing model of any cloud service is vital for effective cost management. We'll explore the factors that contribute to ECS Fargate's pricing, helping you make informed decisions about resource allocation and budgeting. With practical examples, you'll learn how to estimate costs based on your application's requirements.

Deployment Demystified: How to Launch Services on ECS Fargate 🚀📦
Time for hands-on experience! This section provides a step-by-step guide on how to deploy your services on ECS Fargate. We'll cover the creation of task definitions, networking configuration, and the actual deployment process. By the end of this section, you'll have your first Fargate-powered application up and running.

Best Practices and Tips: Navigating the Fargate Landscape 🌱
Unlock the best practices for optimizing your ECS Fargate deployments. From security measures to performance tuning, we'll guide you through essential steps that enhance the reliability and efficiency of your containerized applications. These tips will help you harness the full potential of Fargate while avoiding common pitfalls.

As you wrap up this journey, you'll be well-prepared to showcase your expertise as an AWS Community Builder. Dive into Fargate with confidence and share your newfound knowledge with the community!

Conclusion

Congratulations! You've now delved into the world of ECS Fargate containers. From understanding its container types to deploying services, you've gained a comprehensive view of this powerful AWS service. As you continue your AWS journey, remember that mastering Fargate not only elevates your skills but also opens doors to becoming an AWS Community Builder. Now, it's your turn to explore and create with Fargate! 🚢🌐👷‍♂️

Ref: https://aws.amazon.com/fargate/

Tags: #AWS #ECS #Fargate #Containerization #CloudComputing #CommunityBuilder

🌐🚀 Navigating AWS ECS: Unleashing the Power of Container Orchestration**

Praful Patel — Thu, 17 Aug 2023 02:26:45 +0000

📦 Containers:

🌐🚀 ** AWS ECS: Empowering Container Orchestration and Deployment**

🏁 Introduction: Unveiling the Power of AWS ECS

In the ever-evolving cloud landscape, Amazon Web Services (AWS) has introduced a transformative solution for container management and orchestration: Amazon Elastic Container Service (ECS). This comprehensive blog post delves into ECS's core services, intricate components, diverse use cases, pricing, and the value it brings to modern application deployment.

📦 Unpacking AWS ECS Services and Components

1. Amazon ECS Task Definition: The Blueprint of Containers

ECS Task Definitions act as blueprints, detailing container images, resources, networking, and configurations. It's akin to a recipe that ensures consistency across your application's containers.

2. Amazon ECS Cluster: Central Hub for Container Management

Clusters are logical groups of ECS container instances that orchestrate tasks. They manage scaling, load balancing, and resource allocation, serving as a centralized hub for container orchestration.

3. Amazon ECS Container Instances: Dynamic Compute Resources

Container Instances are either Amazon EC2 instances or AWS Fargate tasks that run containers. They manage tasks' lifecycle, networking, and resource allocation, ensuring seamless container execution.

4. Amazon ECS Service: Ensuring High Availability

ECS Services ensure the desired number of tasks are running and maintain high availability. They handle task placement, scaling, and recovery, thus supporting fault tolerance.

5. Amazon ECS Task: Instances of Containers in Action

An ECS Task represents a running instance of a container within a cluster. It encapsulates your application's logic and resources while being managed by ECS.

🚀 Embarking on Diverse AWS ECS Use Cases

1. Web Application Deployment: Agility and Scalability

ECS simplifies web application deployment, offering load balancing, scaling, and seamless updates. This makes it ideal for hosting dynamic websites or microservices.

2. Batch Processing: Efficient Data Processing

ECS excels at batch processing tasks, where parallel container execution optimizes resource usage for data processing and analytics.

3. Continuous Integration/Continuous Deployment (CI/CD): Automation Excellence

ECS integrates seamlessly into CI/CD pipelines, automating container deployment and enhancing the efficiency of software delivery.

4. Microservices Architecture: Flexibility and Isolation

For microservices architectures, ECS allows individual services to be deployed, scaled, and managed independently, maintaining resource efficiency.

5. Machine Learning Workloads: Optimizing Resource Utilization

ECS efficiently handles machine learning tasks in containers, enabling organizations to leverage containerization for training and inference workloads.

🌟 Unveiling the Benefits and Pricing of AWS ECS

Resource Efficiency and Scalability: ECS optimizes resource usage and scales tasks based on demand, ensuring efficient operations.
Integrated Load Balancing: Seamless integration with AWS Application Load Balancer distributes traffic across containers.
High Availability: ECS Services enhance availability by deploying tasks across multiple availability zones.
Security and Isolation: AWS Identity and Access Management (IAM) roles provide secure access to resources.
Pricing: ECS offers a pay-as-you-go model, with costs based on the resources used, making it flexible for varying workloads.

🔗 Conclusion: A Bright Future with AWS ECS

Amazon ECS emerges as a transformative force, streamlining container management, and enabling efficient deployment of modern applications. From web apps to machine learning, ECS empowers developers to innovate while optimizing resource utilization. Embrace ECS for a seamless journey into the world of container orchestration.

Tags: #AWS #ECS #ContainerOrchestration #CloudComputing #Microservices #DevOps #WebApplications #CI/CD #MachineLearning

🔍 SEO Tags: AWS ECS, Container Orchestration, Cloud Deployment, Microservices Architecture, DevOps, Web Application Hosting, CI/CD Integration, Machine Learning Workloads, Amazon Web Services

📝 About the Author:
Praful Patel, an expert in Cloud/DevOps, is passionate about sharing insights and empowering the tech community. Explore more of their enlightening articles and follow on

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