Forem: Tolulope Olawuni

Automate to Scale: How Founders & Startups Can Streamline Bookings, Emails, and CRM with n8n

Tolulope Olawuni — Sat, 24 May 2025 00:04:38 +0000

When you start a new business, you often have to do many jobs at once. You might be handling sales, talking to customers, and running the business—all at the same time. This can be tiring and slow you down. But there is a way to make things easier: automation.

n8n is a tool that helps you connect your favorite apps (like Cal.com, Gmail, and ClickUp) so they work together automatically. You don’t need to know how to code. With n8n, you can stop doing boring tasks by hand and focus on growing your business.

How the Automation Works

Step 1: Cal.com Trigger

When someone books a meeting with you on Cal.com, it starts the automation.

Step 2: Gmail Sends a Reply

n8n sends a custom email to the person who booked, confirming their meeting or giving them more info.

Step 3: ClickUp Saves the Details

The meeting info is added as a new task in ClickUp. This way, you and your team can keep track of what’s happening.

Real-Life Ways Startups Can Use This

Book Sales Calls

When someone books a sales call, the system sends a confirmation, adds the person to your CRM, and gives your team a reminder to follow up.
Welcome New Clients

After a client books a first meeting, send them helpful info and create a checklist in ClickUp for their onboarding steps.
Freelancer Consultations

If you’re a solo worker, you can send invoices or forms right after someone books a session with you.
Event Signups

When people sign up for your event or webinar, their info goes into your CRM, and they get a calendar invite and reminder emails.
Customer Support Calls

Let customers book support calls. The system confirms the booking and adds a new ticket to your task list.
Team Meetings or Interviews

HR or team leads can use this to book interviews or meetings, and the details go straight into ClickUp for easy tracking.

Why This Helps Founders

Saves Time

You can save 5–10 hours every week by not doing the same boring tasks over and over.
Fewer Mistakes

The system fills in details for you, so you don’t forget leads or tasks.
Faster Service

Customers get quick replies, which makes them happy and builds trust.
Easy to Grow

As your business gets bigger, this system can handle more work without needing to hire more people.

Startups move fast and need to be smart about how they work. Automating small jobs with n8n gives you more time to think, create, and win new customers, while making sure nothing gets missed.

BUILDING A SCALABLE APPLICATION WITH ELASTIC LOAD BALANCER

Tolulope Olawuni — Sat, 01 Mar 2025 06:29:24 +0000

Why Do We Need Multiple Web Servers?

In real life, one web server is not enough to handle high traffic or ensure smooth performance. More so, if that single server crashes, the entire system goes down. But if you have a cluster of web servers, you can:

Scale out by adding more servers when demand increases
Scale in by reducing servers to cut costs when demand is low
Update your servers without downtime

Now, when you have multiple servers, you can’t expect users to manually connect to each one. Instead, we need one central access point, and that’s exactly what a Load Balancer provides.

What Does a Load Balancer Do?

Think of a Load Balancer as a traffic officer. When users send requests, the Load Balancer takes these requests (on common ports like 80 for HTTP or 443 for HTTPS) and distributes them across different servers to balance the load.

Types of Load Balancers in AWS

AWS offers different types of Elastic Load Balancers (ELB):

Classic Load Balancer (CLB) – Basic load balancer that works on Layer 4 (IP and Port level). Ideal for simple setups.
Application Load Balancer (ALB) – Works on Layer 7 (understands URLs). It intelligently routes traffic based on URL paths and is the most commonly used for HTTP/HTTPS traffic.
Network Load Balancer (NLB) – Also operates on Layer 4, but it provides a static IP address and can handle millions of requests per second. It’s more expensive but great for high-performance applications.
Gateway Load Balancer (GLB) – Works on Layer 3 and is mainly used for firewalls and security appliances. This is an advanced concept that requires deep knowledge of AWS VPC networking.

Setting Up a Website on AWS EC2 with Load Balancer

We’re going to set up a simple website using a template from tooplate.com on an AWS EC2 instance. After that, we’ll create a Load Balancer to distribute traffic between multiple instances.

Step 1: Launching an EC2 Instance

Go to the EC2 service on AWS.
Click on Launch Instance and give it a name (e.g., web01)
Choose an operating system. Let's stick with Ubuntu

If you’re unsure, stick with Amazon Linux since it’s optimized for AWS.

Select Instance Type
Create a Key Pair:
Set Security Group Rules:
- Create a new Security Group
- Allow SSH (port 22) from your own IP for security.
- Allow HTTP (port 80) from your own IP (for website access).
Keep Storage Default (8GB is fine)
User Data Script: Copy and paste my script below in the code block to automatically install and configure the web server(Nginx).

#!/bin/bash
sudo apt update
sudo apt install unzip wget nginx -y

# Enable and start Nginx
sudo systemctl enable nginx
sudo systemctl start nginx

# Create directory for the website files
mkdir -p /opt/web01
cd /opt/web01

# Download and extract the website template
wget https://www.tooplate.com/zip-templates/2130_waso_strategy.zip
unzip 2130_waso_strategy.zip

# Move files to Nginx's web root
sudo mv 2130_waso_strategy/* /var/www/html/

# Restart Nginx to apply changes
sudo systemctl restart nginx

Click Launch Instance and wait for a few minutes.
Check the Website: Copy the public IP address of the instance and paste it in your browser. If everything works, you should see your website

Troubleshooting

If the website doesn’t load:

Check Security Group: Make sure HTTP (port 80) is open.
Log in to EC2 instance using SSH and check if the web server (Nginx) is running. Use the command

sudo systemctl status nginx

If not, restart it.

Step 2: Creating an AMI (Amazon Machine Image)

Now that our instance is running, let’s create a custom image (AMI).

Select your EC2 instance → Click Actions → Go to Image & Templates → Click Create Image.
Name it something like web01-ami.
Click Create Image and wait a few minutes.

With this AMI, you can launch multiple instances with the same configuration without setting up everything from scratch.

You can click the AMI section to view the created AMI.
NOTE: While both snapshots and AMI are use for backup on AWS, Snapshots are the backup of an EBS volume, while AMIs are backup for your EC2 instance plus the metadata.

Step 3: Launch Template for Quick Instance Deployment

Instead of repeating the setup process every time of creating AMIs, we can create a Launch Template:

Go to Launch Templates → Click Create Launch Template.
Name it web-template-v1.
Select the AMI we just created.
Choose instance type (t2.micro), security group, and key pair.
Save the template

Now, whenever you need a new instance, just launch it from this template in seconds instead of setting up everything manually! I will use this Launch template to create another instance so we can multiple servers for our load balancer.

After clicking on the the launch instance, you might decide to not modify the options and launch instance from the template

Step 4: Setting Up a Load Balancer

Since we now have multiple instances, users need a single endpoint to access the website. That endpoint will route users requests to any of the instances created. This is where the Load Balancer comes in.

Create a Target Group

We will go to the target group section to creat target group, which is just a group of Instances
A Target Group groups multiple instances together:

Go to Target Groups → Click Create Target Group.

Select Instances as the target type.
Name it something like web-TG.
Set Port 80 (HTTP) since our website runs on this port. Configure Health Checks:
- Health Check Path: / (Root of the website).
- Healthy threshold: 2 (checks twice before declaring it healthy).
- Unhealthy threshold: 2 (declares it unhealthy after 2 failures). Click on the next button, where it will show us our 2 instances; the one we created from the scratch(web01) and the other we created from the Launch template(web02). Select the 2 instances and click on include as pending below to add it to our target group. Add your EC2 instances and click Create Target Group.

Create an Application Load Balancer

Go to Load Balancers section → Click Create Load Balancer.
Select Application Load Balancer (ALB).

Name it something like web-ELB.
Set it to Internet-facing (so users can access it online).
Choose at least two Availability Zones for high availability but you can select all AZ.
Create a Security Group for the Load Balancer (web-elb-sg) and allow HTTP (port 80) from anywhere.
Click on Save rules and your security group will be created.

Now go back to the Load balancer tab, refresh and this newly created security group will be available for selection as seen above. The listener(HTTP) is the front-end while the Target group is the backend. The listener will be routing request to the Target group. The target group(web-TG) we created can be selected form the drop down. we scroll down and create our Load balancer.
Testing the Load Balancer** Once the Load Balancer is active:
Copy the Load Balancer DNS name.
Paste it into your browser.
Your website should now be accessible through the Load Balancer, which distributes traffic between multiple instances.

Copy the DNS in the Load balancer and paster to your browser. The website won't open, because there's something we failed to do.

Troubleshooting Load Balancer Issues

Every instance has it's own security group, we checked the inbound rule of the 2 instances it allows port 80 from my IP and not from the Load balancer. So we have to add the rule to the Instances, so it can allow connection from the Load balance which is the security group we created for the load balancer.

You remember the security group we created for the ELB...ELB-SG! that' what we added to the instance inbound rule.

Final Thoughts

We have successfully:

Launched an EC2 instance with a website.
Created a custom AMI for easy scaling.
Created a Launch Template for quick deployment.
Set up a Load Balancer to distribute traffic between multiple instances. Our website from tooplate This setup ensures high availability and makes it easy to add more instances when traffic increases.

Keep practicing, and you’ll soon master AWS deployments!
I hope this has been a good read for us, if you have any suggestion to improve this article, please feel free to reach out.
Thanks

Learn Amazon Cloudwatch

Tolulope Olawuni — Thu, 20 Feb 2025 20:02:12 +0000

AMAZON CLOUDWATCH Pt.2(Hands-on)

Tolulope Olawuni ・ Feb 20

#cloudcomputing #aws #cloudskills #cloudwatch

AMAZON CLOUDWATCH Pt.2(Hands-on)

Tolulope Olawuni — Thu, 20 Feb 2025 19:06:29 +0000

For this exercise we shall be using Ubuntu. We will be installing just one tool in that ec2 instance which is called a STRESS. STRESS is used to stimulate high CPU, memory or disk usage to test Amazon cloudwatch metrics and Alarm systems. We can't run the stress without having computer/server. So, I will spin up EC2 instance(Ubuntu).

After spinning up EC2 instance(Ubuntu), click on the monitoring Tab of the instance, the graphs above were showing NO DATA for some reason. So Wait for few minutes for the readings to begin. It is important to know that these graphs in the monitoring tab comes from CLOUDWATCH service. The graphs under this monitoring Tab are the METRICS we talked about in the previous article. CPU usage which measures the percentage of CPU resources used by an instance, Network IN refers to the amount of data received by the instance.
note These are metics that are created automatically when we launch an EC2 instance, if we want custom metrics like RAM utilization we will need to create our own metrics. Our focus here is CPU utilization, which is the most important metrics.
Cloudwatch by default at every 5mins will be monitoring data to this graph if we want to reduce the number to every minute then we will have to enable DETAILED MONITORNG so we are going to enable detailed monitoring.

Select our instance, go to the monitoring tab to see the instance Metrics, click on monitoring, enable detailed monitoring and Voila! your monitoring has been set to every 1 minute.WE will log into this instance and stress the CPU of this instance. Here, I will use gitbash to ssh into it.

note for Ubuntu, always remember to update your package list before installing anything.
After installation, execute the STRESS command to show options and example of how to stress a particular metric.

This is an example which shows how we can stress on the RAM, CPU, the IO metric but our focus here is the CPU.

The nohup -c 4 -t 300 & command creates a 4 processes for us which will run for 300secs. The "nohup" and "&" put this command in the background.

Now we'll run command called TOP which shows the processes running on our computer realtime and dynamically. Here we see the four stress processes and the utilization to be 99 at that point in time.
This is to intentionally stress this instance, Cloud Watch will check it every minute and put that in the graph.
So do we do this like few times, run STRESS just for 100 seconds, close it, run it for 200 seconds, wait for a few minutes, and now we will get a pattern in the graph.
if we don't want to do this manually, we can create a script like this:

sleep 60 && stress -c 4 -t 30 && sleep 60 && stress -c 4 -t 30 && sleep 60 && stress -c 4 -t 30.

Now, we can go back to our AWS to check the graph again. Hover on the CPU metric and click on the enlarge icon to zoom.

This graph shows the usage of the CPU in the last 5mins and other minute you'd like to see. Amazing right! we can see the difference compared to when we just created the instance without stressing it.

CLOUDWATCH SERVICE

We are prepared now! Let's go to CloudWatch Service where we will be setting up an alarm for CPU utilization for this instance. So come to all alarms section here and click on Create Alarm. Select a metric which is our CPU utilization.

To select a metric which in our case,is our CPU utilization for EC2, we first we click on the ec2 service, we see per instance metrics(click), find your instance and if you don't see your instance, wait for a few minutes till it loads information, find CPU utilization metric for your instance. In our case, the instance name is Cloudwatch-test so select CPU utilization for Cloudwatch test.
we can see the flow numbered from 1-4 above
Next, In the next screen we will be setting conditions for Alarm. The condition states that if the CPU usage exceed 60% in the period of 5 minutes then it should be in Alarm.

condition 1: ****Conditions set for a 5mins period.

condition 2: If usage is greater than 60, that is if it exceeds threshold.

In this screen we are just configuring the alarm notification which are the name, the title of the notification and what email should the notification be sent. For this article, we leave the other options, scroll down and click on next.

Additional configuration involves setting the alarm's name. Note: It's recommended to choose a name that grabs attention or emphasizes the urgency of the situation.

The next screen is to Preview our configurations and Create the ALARM

Our Alarm has been created!
What this means is we when have CPU usage above 60, Cloudwatch will trigger an Alarm warning us about our usage. There are other actions we can modify on our instance like when the usage crosses the threshold we set, EC2 can reboot itself or create another EC2.

Finally, I will be running the stress again to trigger Alarm notification for crossing the threshold(set at 60).

For an email notification to be sent, the condition must persist for 5 minutes. Alright, the notification appeared in my inbox.

That’s the alert! You can now see the instance state change from "Insufficient Data" to "Alarm"
.

In summary, Amazon CloudWatch is a powerful monitoring and observability tool that helps businesses track performance, troubleshoot issues, and optimize their AWS environment. With features like Metrics, Logs, and Alarms, CloudWatch provides real-time insights that improve efficiency and reliability

AMAZON CLOUDWATCH

Tolulope Olawuni — Sat, 15 Feb 2025 10:57:44 +0000

What is AWS CLOUD WATCH(PART 1)

AWS cloudwatch is a monitoring service but now has expanded more than that, it's also a logging solution. There are amazing features that AWS cloudwatch provides. Primarily it's a service that will be monitoring performance of your AWS environment.

Primarily, it is a service that monitors the performance of your AWS environment. Within a specific region, it automatically generates standard metrics for any service you use. In other monitoring tools, these metrics are commonly referred to as checks, such as CPU usage, disk utilization, or network performance for a virtual machine.

So, for every service cloudwatch is going to provide some standard metrics, you really don't need to set up monitoring service. Monitoring is anyways set up through Cloud Watch. If you want you can make changes by adding more metrics of your choice, which are called CUSTOM metrics. On those metrics, you can set alarms notifications. Metrics is the primary thing in the cloud watch. If you use EBS volume, you would see some metrics for EBS volume. If you're using EC2, you should see some metrics same goes with Cloudfront, Route53 Healthchecks, RDS, Amazon S3 etc.

EC2 cloudwatch

If you're using an ec2 instance it will have a monitoring tab. All these metrics are coming from cloud watch. In the image above, you have CPU utilization(metric) currently there is no data available because it's going to take some time to collect this data. I have recently just launched an HTML website(downloaded from Tooplate.com) hosting on NGINX webserver in an EC2 Instance, so it's going to take some time to collect the metrics and then you should see the graphs.

So CPU utilization, Status checks, Network in, Network Out. Network packets in .Network packets out, Disk read, Disk Operations, Disk write and Disk write Operations are the common metrics that you will see in all the ec2 instances.

EBS cloudwatch

Likewise, if you go to volume section. If you see your volumes, volume will also have monitoring and will there be metrics for volumes as well; Read bandwidth, Write bandwidth, Read throughput, Write throughput etc.

So you take any service that you're using in your AWS account, it will have metrics which will be set by Cloud Watch.

Apart from metrics, Cloudwatch also has EVENTS. AWS events will give you a real time stream of any events that is happening. For example, you launching an instance or Terminating or taking a snapshot or creating a volume. These are all events and cloud watch are going to capture all the events. What can you do with those events? Well, you can set triggers from these events.

The next thing that Cloud Watch does is LOGS. Almost all the services will have an option to stream the logs. From your operating system,
you can set an agent which can stream logs to cloud watch service.

For now let's focus on METRICS. What do we do with the metrics, well, we set alarms on them. If one really want to monitor activity, you cant be 24hours by 7 days looking at the graphs of cloud watch
but if something goes wrong, like the graph is spiking high, you would get some notifications. So alarms will help set your notifications it can be integrated with SNS service to send email notification.

For example, if we the CPU utilization is crossing above 60. I should receive an email notification depending on my settings.

There are three services in play over here.

Ec2 instance that is generating the metrics, Cloudwatch which is collecting the metrics, You or cloud watch which is also setting up alarms in the cloud watch and then the SNS service.

In the next article, we'll be going all hands on; we will be seeing also how to how to collect logs from the ec2 instance and set metrics on the logs. And then based on that, you can send email notification or you can do some other stuff as well.

SETTING UP A COST-EFFECTIVE AWS ENVIROMENT FOR A SMALL TECH COMPANY

Tolulope Olawuni — Sat, 07 Sep 2024 17:19:40 +0000

INTRODUCTION

Migrating both human and computing resources to the cloud is one of the smartest moves a startup or a first-time founder can make. This approach boosts efficiency, enhances security, and fosters better collaboration and delegation across teams. However, it's crucial to get the setup right—any missteps in configuring your cloud infrastructure can spell trouble for your business. In this article, I’ll guide you through the best practices for setting up a cost-effective AWS environment to ensure your tech company starts on the right foot.

Overview: We'll cover AWS environment familiarization, Creating AWS account, Identity and Access Management(IAM) setup, cost management strategies(Budgeting). We'll be using Amazon free-tier account for this article.

Prerequisites

Basic technical knowledge
AWS Free-tier account
Web Browser (Access to the AWS management console)

AWS MANAGEMENT CONSOLE
The AWS Management Console is a web-based platform that allows users to access and manage AWS services, such as S3 storage and IAM.

Step 1 Creating an AWS Free Tier Account
In your web browser, search for "AWS Free Tier" to get started.

Step 2
Signup to create a free-tier AWS account by clicking on any of the circled button as seen in the image to create an AWS account.

Step 3
Enter your email address and your AWS account name. Click on verify email address and wait for some seconds, a verification link will be pushed to your email. Check your email and copy the verification code

Step 4
Enter the code to setup your password.

Step 5
To create a free tier AWS account, you need to provide contact information, and specify the purpose of the account(in this case, it's business account), your full name, phone number, country, and address.

Step 6
Enter your Billing Information
AWS adopts the Pay-as-you-go method for billing its users. This means billing comes after usage of a resource. With the free-tier account, one can use some limited services for 12months and if usage is exceeded you'll be charged for extra consumption.

AWS CONSOLE HOME
This is the central hub for accessing and managing your Amazon Web Services which provides an easy-to-use web interface to access wide range of services that AWS offers. Located at the top of the page, the search bar allows you to quickly find AWS services like EC2, S3..

Overview of AWS Services

Identity and Access Management(IAM)
In AWS, IAM (Identity and Access Management) is a service that allows you to manage who can access your AWS resources and what they can do with those resources. It provides secure control over authentication (who can sign in) and authorization (what actions they can perform).

IAM Components
The Major IAM Components are USERS, GROUPS, ROLES AND POLICIES.
-User: Individual identities that represent people needing access to AWS resources. Each user has unique credentials and can have specific permissions.
-Usergroups: Collections of users that share the same permissions. Groups simplify permission management by allowing you to assign policies to multiple users at once.
-Roles: Identities that you can assume temporarily to access resources, usually by applications, AWS services, or users from trusted entities. Roles have specific permissions and do not have long-term credentials.
-Policies: Are set of permissions for users, groups, and roles. They specify what actions are allowed or denied on which AWS resources.

Creating Users And Grops In AWS IAM
IAM is essential for securing and managing access and permissions in AWS effectively. When an AWS account is created, a ROOT USER with full access to all resources is provided automatically. However, since we're migrating multiple teams to the cloud, resource usage will differ across departments. For instance, the I.T department might need access to services like EC2 for server management and CloudWatch for monitoring and logging I.T activities, while the Finance department would require access to services like BUDGET to track cloud expenses. It is best practice to create IAM groups with specific permissions (policies) tailored to each department's needs. This approach not only controls access but also supports cost-effective resource management and strengthens security.
Step 1
Search for IAM in the address bar and Click on Create group

Note:Creating groups simplify permissions management because you can grant, change, and remove permissions for multiple users at the same time. For example, you can create a user group named "Admins" and give that group administrative permissions. Any user in that group automatically has the permissions that are assigned to the group.
STEP 2
Create a name for the group e.g Admin

Step 3
Select a Policy
As shown in the image, you can see a few policies listed. You can select a policy by checking the box next to it or use the search function to find a specific policy, as demonstrated. I assigned administrative access to the Admin group, granting the group full access to all AWS services.

Create Group
Navigate to the end of the page to confirm the group creation.

ANALYSIS OF THE CURRENT CONSOLE
The image illustrates "Admin" group has been created and configured with defined permissions(AdministrativeAccess),but no USER is currently assigned to the group.

CREATE AN IAM USER
Let's name this User Joe,who is an Admin staff in this startup. Firstly we select USER on IAM console.
STEP 1: Select "Create User"

STEP 2: USER DETAILS
The image shows a section of the AWS IAM console during the process of creating a new IAM user. Here is the analysis of the configuration:
Username: The username "Joe" is specified in the text box at the top, indicating the new user being created.
Access Type:

The option "Provide user access to the AWS Management Console" is checked, meaning this user will have access to log into the AWS Management Console.
"I want to create an IAM user" – This option is selected, indicating that a traditional IAM user is being created rather than using the AWS Identity Center. Console Password Two options are provided for the password: Autogenerated Password: Not selected. Custom Password: This option is selected, allowing the user to set a custom password for the new user. The password requirements (minimum length and character mix) are listed below the input box. This setup shows that the user "Joe" is being configured with access to the AWS Management Console and a custom password. The configuration emphasizes the creation of a traditional IAM user rather than through AWS Identity Center, and the password is set directly rather than autogenerated. Step 3 At this stage, we are prompted to set permissions for the user. Instead of assigning individual policies directly, we add the user to the Admin group. By doing this, the user will automatically inherit all the permissions associated with the Admin group's policies. This approach simplifies permission management by ensuring the user has the same access level as the group, following best practices for access control and policy consistency. Step 4 Review the User details Final Step Download User credentials Use the downloaded details which contains the login URL for the User "Joe" to access his console.

SET UP AWS BUDGET
Security Best Practices: AWS recommends minimizing the use of the root account because it has unrestricted access to all resources but once the root user configures the initial budget and monitoring tools, regular account usage and management should be handled by IAM users with appropriate permissions
STEP 1
In the AWS console, find the search bar and type "Billing" or "Budget"; you'll see a suggestion for "Billing and Cost Management." Click and create your budget.

Step 2
Setup your Budget
The image shows the AWS Budgets interface for selecting the budget type. Here’s an analysis our selection elements:
Budget Setup
Customize (advanced):This option allows you to create a more tailored budget with specific parameters, such as the time period, accounts, or services to track.
Budget Types
Cost budget (Selected):This monitors the overall cost of your cloud usage. You set a dollar amount as your budget, and AWS alerts you when thresholds are met.
Scroll down and click "Next"

Scroll down to configure your AWS Budget; Naming, Periods and Renewal options.

The image below shows the AWS console’s budget creation page, where you set up a budget to monitor costs. Key details

Budget Name: Allows you to name the budget, with "BudgetMonitoring" used in the example.
Set Budget Amount:
- Period: Set to "Monthly," tracking costs on a monthly basis.
- Budget Renewal Type: Options include "Recurring Budget" (resets each period) and "Expiring Budget" (stops renewing after a set time). The example uses a recurring budget.
- Start Month: Set to begin in September 2024. Budgeted Amount is $50
Budget Preview: Displays a graph of costs from September 2023 to June 2024, showing actual versus budgeted amounts.

Budget Method
The console shows the AWS Budgets creation interface, specifically focusing on selecting a budgeting method. The options provided for budgeting include:

Planned:Our selection/choice allows users to specify the budgeted amount for each budget period individually.
Fixed: Sets a single budgeted amount that applies to every month or period within the specified range.
Auto-adjusting: Dynamically adjusts the budget based on the user’s historical spending or usage patterns.

Scope of options
Our budget scope selection allows us to track all AWS services in this account.

Alert threshold
To effectively manage cloud costs, we’ve set up our AWS budget with a total allocation of $50 for the current billing period. To stay proactive and avoid overspending, we’ve configured an alert threshold at 80% of the budget, meaning we will receive an alert when our spending reaches $40.

Budget Setup Review

Budget Created!

Congratulations! You've just built a fortress of cloud efficiency with just a few clicks, a couple of configs. And remember, managing AWS is a bit like riding a bike: wobbly at first, potentially painful, but once you get the hang of it, you’ll be cruising through cloud configurations like a pro. So, go forth and conquer the cloud, and may your startup be forever cost-effective and infinitely efficient.

If you found this article helpful, please like and follow me! If there's any part where you feel I could have explained things better, feel free to leave a comment, and I'll be happy to clarify.

Forem: Tolulope Olawuni

Automate to Scale: How Founders & Startups Can Streamline Bookings, Emails, and CRM with n8n

How the Automation Works

Real-Life Ways Startups Can Use This

Why This Helps Founders

BUILDING A SCALABLE APPLICATION WITH ELASTIC LOAD BALANCER

Why Do We Need Multiple Web Servers?

What Does a Load Balancer Do?

Types of Load Balancers in AWS

Troubleshooting

Step 2: Creating an AMI (Amazon Machine Image)

Step 3: Launch Template for Quick Instance Deployment

Step 4: Setting Up a Load Balancer

** Create a Target Group**

** Create an Application Load Balancer**

Final Thoughts

Learn Amazon Cloudwatch

AMAZON CLOUDWATCH Pt.2(Hands-on)

Tolulope Olawuni ・ Feb 20

AMAZON CLOUDWATCH Pt.2(Hands-on)

AMAZON CLOUDWATCH

What is AWS CLOUD WATCH(PART 1)

EC2 cloudwatch

EBS cloudwatch

SETTING UP A COST-EFFECTIVE AWS ENVIROMENT FOR A SMALL TECH COMPANY

INTRODUCTION

Prerequisites

Create a Target Group

Create an Application Load Balancer