Forem: Akinsooto Abidemi

Creating an Instance on AWS using Ubuntu - AWS Tutorial

Akinsooto Abidemi — Sat, 26 Oct 2024 20:19:32 +0000

To create an EC2 instance on AWS using an Ubuntu image, follow these steps:

Step 1: Log in to the AWS Management Console

Open the AWS Management Console.
Log in with your credentials.

Step 2: Navigate to EC2 Dashboard

In the top-left corner, click on Services.
Select EC2 under the Compute category or search for EC2.

Step 3: Launch an Instance
Click Launch Instance.
Enter a name for your instance (optional).

Or click on instances running and click on launch instance.

Step 4: Choose an Amazon Machine Image (AMI)

Under Application and OS Images (Amazon Machine Image), select Ubuntu.
Choose the version you need (e.g., Ubuntu Server 20.04 LTS).
Make sure it’s an x86 or ARM version depending on your needs.

Step 5: Select or Create a Key Pair
Choose an existing key pair if you have one, or create a new one.
If creating a new key pair, download the .pem file and keep it safe. This is the only time you can download it.

Click Next: Configure Instance Details.

Step 6: Configure Instance Details

You can leave most settings as default just like i did mine.
Ensure Auto-assign Public IP is enabled if you need to connect to the instance over the internet.
You can add tags or configure other settings if needed.
Click Next: Configure Security Group.

Step 7: Configure Security Group

Create a new security group or choose an existing one.
Add rules to allow specific traffic:
SSH: Port 22 (Source: Anywhere or your IP address)
Additional rules depending on what you plan to run (e.g., HTTP, HTTPS)

Step 8: Choose an Instance Type

Select the instance type (e.g., t2.micro for a free tier eligible, low-cost option).

Step 9: Add Storage
The default is 8 GB. You can increase it if necessary. I left mine as default.

Step 10: Review and Launch
Review the details of your instance.
Click Launch.

Step 11: Connect to Your Ubuntu Instance
After your instance is running, go to the Instances page on the EC2 dashboard.
You will see your Public IPv4 Address.
Then go to Visual studio code, click run terminal and follow the instructions below:
Using Gitbash in your Vscode, use this:
ssh -i /path/to/your-key.pem ubuntu@your-instance-public-ip

Replace /path/to/your-key.pem with the path to your key file and your-instance-public-ip with the public IP of your instance.
You can find your public IP address when you open the instance you created.

For mine it is ssh -i C:\Users\Abidemi\Downloads ubuntu@13.60.255.148 as shown in the image below:
After you run this command, you will see are you sure you want to continue connecting? type yes.

To install apache, type sudo apt install apache2 -y

sudo systemctl start apache2
sudo systemctl enable apache2

Then git clone your webapp using this command:
sudo git clone https://github.com/yourtechie/fruitables.git
then click enter.

When the cloning has been successfully done you can now type your Public ip address on your browser to access the your webapp.

You now have an Ubuntu EC2 instance running on AWS. Let me know if you need further assistance!

Creating and connecting to a Linux VM using a public key.

Akinsooto Abidemi — Sat, 07 Sep 2024 20:36:18 +0000

Creating a Linux Virtual Machine (VM) on Azure is straightforward and allows for secure and efficient management of your server. In this guide, we will walk you through the steps to set up a Linux VM using the Azure portal and connect to it using a public key.

Step 1: Login to access the Azure Portal
Step 2: Start Creating a Virtual Machine
Step 3: Configure Basic Settings
Step 4: Configure the Administrator Account
Step 5 : Review and Create the VM
Step 6: Connect to Your VM

Step 1: Log in to your Azure account. If you don’t have one, you’ll need to sign up for an account at Azure.

Open your web browser and go to the Azure Portal.
Sign in with your Microsoft account credentials.

Once you’re logged into the Azure Portal:

Step 2: Click on Create a Virtual Machine.

Step 3: You will now set up the basic configuration for your VM.

Basics:

Subscription: Choose your Azure subscription.
Resource group: Select an existing resource group or create a new one to organize your resources.
Virtual machine name: Provide a unique name for your VM.
Region: Choose the location closest to you or where you want to host your VM.
Availability options: Select based on your needs for redundancy and availability.

Image: Ensure the selected image matches your desired Linux distribution (e.g., Ubuntu Server 20.04 LTS).

Size: Click on Change size and choose the appropriate VM size based on your performance needs and budget.

Step 4: Configure the Administrator Account
For secure access to your VM, you’ll set up authentication using an SSH public key.

In the Administrator account section:
Select SSH public key as the Authentication type.

Enter your key pair name and choose your inbound rules. Then click on Review + Create.

Step 5: Choose the first option which is to download private key and create resource.

Go to resource.

Copy the public address as shown in the image below:

Step 6: Then go to your command prompt, open as an administrator.

Type in ssh -i "C:\Users\Abidemi\Downloads\abidemi-linux-vm_key.pem" azureuser@13.82.195.115 using your copied public address.

If you type the public IP address on your browser it pops up this page as seen below:

Type in these commands:
sudo apt-get -y update
sudo apt-get -y install nginx

Then refresh the browser.

Summary
That's it! We've successfully created and connected to a virtual machine on Azure using SSH public key authentication. Let me know if you need any more guidance!

Deploying a Virtual Machine using ARM (Azure Resource Manager) template

Akinsooto Abidemi — Fri, 16 Aug 2024 23:17:01 +0000

Table of Contents
Step 1: Introduction
Step 2: Prepare the ARM Template
Step 3: Log in to the Azure Portal
Step 4: Deploy the ARM Template
Step 5: Customize the Deployment
Step 6: Review and Deploy
Step 7: Access Your Virtual Machine
Step 8: Manage Your VM
Step 9: Summary

Step 1: Introduction:
Deploying a virtual machine (VM) using an Azure Resource Manager (ARM) template is a powerful way to automate the provisioning of resources in Azure. ARM templates are JSON files that define the infrastructure and configuration for your Azure solution. Here's a step-by-step guide:

Step 2: Prepare the ARM Template:
Before you begin, ensure you have a valid ARM template. You can use the one provided earlier or customize your own.

Step 3: Log in to the Azure Portal:
Go to https://portal.azure.com/
Sign in with your Azure account credentials.

Step 4: Deploy the ARM Template:

On the Azure Portal home page, search for "Deploy a custom template" in the search results and click on it to start the template deployment process.

You have two options for providing the ARM template:
Build your own template in the editor: You can paste your ARM template into the editor.
Load a file: If you have your template saved as a .json file, you can upload it.
Select one of these options and either paste the template or upload the file. We used the paste the template option as seen below:

Click on Save.

Step 5: Customize the Deployment
Fill in the Parameters: After saving your template, you'll be prompted to enter the required parameters, such as:

vmName: The name of the virtual machine.
adminUsername: The administrator username.
adminPassword: The administrator password (make sure it meets Azure’s password requirements).
dnsLabelPrefix: A unique DNS label prefix for the VM's public IP.
Select Resource Group: Choose an existing resource group or create a new one where the VM will be deployed.

Location: Ensure the location matches the region where you want to deploy your resources.

Step 6: Review and Deploy:

Click on Review + Create.
The portal will validate your template and parameters. If there are any issues, you’ll be prompted to correct them.
Once validated, click on Create to start the deployment process.

Step 7: Access Your Virtual Machine

After the deployment is complete, go to the Resource groups section, select your resource group, and you will see the VM listed among the deployed resources.

Click on the VM name to view its details.
To connect to your Windows VM:
In the VM's Overview page, click on Connect.

Choose RDP and download the RDP file to your local machine.
Open the RDP file, and log in using the admin credentials you specified during the deployment.

Step 8: Manage Your VM
From the VM’s page in the Azure Portal, you can start, stop, restart, or delete the VM, and configure additional settings like networking, disks, and more.

Summary
We’ve successfully deployed a Windows virtual machine using an ARM template in the Azure Portal. The process involves creating a resource group (if needed), deploying the ARM template, and monitoring the deployment. Once the VM is deployed, you can connect to it and manage it through the Azure Portal.

How to deploy a Web App with CI/CD pipeline on Azure app service.

Akinsooto Abidemi — Thu, 08 Aug 2024 23:21:30 +0000

Deploying a web app with a Continuous Integration/Continuous Deployment (CI/CD) pipeline on Azure App Service using GitHub and Visual Studio Code involves several steps which i will be discussing below:

1. Setup Your Azure Account & Create a Web App:

Sign in to Azure Portal: using https://portal.azure.com
Create a App Service Plan:

From the home page, search for App Service Plan as seen in the image below.
Click on create.
Fill in the required details (Subscription, Resource Group, Name, Operating system, Region, etc.).
Choose your preferred pricing plan. Then click Review + Create.
Click on create.
Click on Go to Resources.
Click on webapp-plan.
Search and click on web app to create one. Fill in the required details (Subscription, Resource Group, Web App Name, pubish, Runtime Stack, etc.). Review + Create.

2. Set Up Your Local Development Environment:
Install Visual Studio Code and Git if you haven't.
3. Initialize Git Repository and Create Web App in Visual Studio Code:
Open Git and create a new repository by clicking on New repository.

Initialize Git from Visual studio code terminal: Run git init to initialize a Git repository. Run git add . to stage your files. Run git status Run git clone +url (from the repository created earlier) Run nano index php Run cat index php

5. Back to our Azure page:
Go to your Web App in the Azure Portal.
In the Deployment section, select Deployment Center.

Select code source. Click on Github

6. Deploy the Application
Commit and Push: Commit and push your changes to GitHub. The GitHub Actions workflow will automatically start, build, and deploy your application to Azure App Service.
Needed to upgrade from the free subscription to be able to deploy as seen below:

After Upgrade, you can now add a slot.

7. Monitor Deployment
Check Deployment Status: You can monitor the progress of the deployment in the Actions tab on GitHub.
View the Web App: Once deployed, your web app should be accessible via the Azure App Service URL.

By following these steps, you will have successfully deployed a web app with a CI/CD pipeline using GitHub and Visual Studio Code on Azure App Service.

How to Setup Git and Github

Akinsooto Abidemi — Fri, 02 Aug 2024 12:38:00 +0000

GitHub is a web-based platform for version control and collaboration that allows developers to host and review code, manage projects, and build software together. Some key features and aspects of GitHub are version control, repositories, branching and merging, pull requests e.t.c.

Setting up on Git involves a few steps. Here's a guide to help you get started:

1. Install Git
Windows: Download and install Git from git-scm.com/downloads

2. Configure Git
After installing Git, you need to set your username and email:
Open Git Bash

Then to setup your username and email,
Enter git config --global user.name "Your Name"
git config --global user.email "youremail@example.com"

3. Create a Repository
Initialize a new repository:
To create directory: mkdir Gitlab
To change directory: cd Gitlab

Type

mkdir my_project
cd my_project
git init

To open Vscode (Visual Studio Code)

code . This opens visual studio code automatically. Create a new file from Gitlab, name it "index.html"

Enter as seen below:
<!DOCTYPE html>

Hello world!

This is the first file in my new Git Repo.

Then Go to terminal - it can be used on Gitbash or Vscode.
From Vscode- Click on the three dot
Then click Run - Click Terminal
Click New Terminal

4. To add files to the repository:

git add .
git status

5. Commit Changes
Commit your changes with a message:
git commit -m "Adding index.html"

To create a repository: Go to gitlab.com
Connect the repository on gitbash
To push the origin master - Click +, the drop down
Click on New repository

Enter name - Gitlab
Check Readme, Click Create Repository

Then click on code.
Copy the url

Then back to Vscode
Type git remote add origin (url)
Example git remote add origin https://github.com/Abidemimodupe/GitLab.git
Connect to a remote repository and push changes:
git remote add origin https://github.com/username/my_project.git
git push -u origin main

With these steps, you should have a Git repository set up and ready to use.

Practical use of TCO and Pricing Calculator for Cost Management in Azure.

Akinsooto Abidemi — Fri, 26 Jul 2024 23:07:54 +0000

Total Cost of Ownership (TCO) in Azure refers to the financial estimate designed to help you determine the direct and indirect costs of a product or system. Calculating TCO in Azure involves assessing the costs associated with deploying and managing your applications in the cloud.

Total Cost of Ownership helps to understand the full financial impart of your Azure investments.
Here’s a step-by-step guide to understanding and calculating TCO in Azure:

Step 1: Access the TCO Calculator:
Open the Azure TCO Calculator:
Navigate to the Azure TCO calculator by using this link: https://azure.microsoft.com/en-us/pricing/tco/calculator

Enter the details of your server configurations with a workload name.
Enter the details of your storage and networking.

Then click on Next.

*Stage 2: Adjust your assumptions.
*

You can enable your virtual machine costs, electricity costs and IT labor costs from here.

You can also access and adjust other costs. Click on Next to view report.

Stage 3: To view the TCO report.

Step 4: Save and Share the Report:
Download the Report: Download the TCO report in PDF format for further analysis and sharing with stakeholders.
Share the Report: Share the TCO report with your team or management to help make informed decisions about migrating to Azure.

We can see the difference between running our workloads on premises and on Azure below:

Pricing calculator is used for accurate cost estimations. It provides accurate cost predictions. It helps in budgeting and financial planning.
Some of the key features of pricing calculators are the wide range of service selection, cost estimation, customization, savings options.

Step by step guide on how to use a pricing calculator:

*- Step 1:Access the Calculator:
*
Navigate to the Azure Pricing Calculator with https://azure.microsoft.com/en-us/pricing/calculator/

Step 2: Select services, review costs, and adjust settings.

Step 3: Adjust Settings:

Modify settings like the billing currency, payment options (e.g., pay-as-you-go, reserved instances), and any applicable discounts or offers.

Step 4: Save and Share:
You can save your configurations for future reference or export the cost estimates in various formats to share with your team or stakeholders.

By following these steps, you can effectively use the Azure TCO Calculator to estimate the cost savings of moving your workloads to Azure. This tool provides a comprehensive analysis, helping you make data-driven decisions for your cloud migration strategy and also with the Azure pricing calculator you can effectively plan and manage your cloud expenses, ensuring that you select the most cost-efficient services for your specific requirements.

Creating an IoT solution using Azure Hub, registering a device, and simulating the device to Azure Blob storage

Akinsooto Abidemi — Fri, 19 Jul 2024 21:37:21 +0000

Creating a practical IoT solution using Azure IoT Hub involves several steps: setting up an IoT Hub, registering a device, and simulating the device to send telemetry data or files to Azure Blob Storage. Below is a step-by-step guide:

STAGE 1: **Step 1: Set Up an Azure IoT Hub
Create an Azure Account:**

If you don't have an Azure account, sign up at Azure Free Account.
Create an IoT Hub:

Log in to https://portal.azure.com/
Click on + Create a resource and search for IoT Hub.

Click Create and fill in the necessary information:

Subscription: Select your Azure subscription.
Resource Group: Create a new resource group or select an existing one.
Region: Choose the region closest to you.
IoT Hub Name: Provide a unique name for your IoT Hub.
Click Review + create and then Create.

Step 2: Register a Device in the IoT Hub
Navigate to Your IoT Hub:

In the Azure Portal, go to your newly created IoT Hub.
Add a Device:
Under Explorers, select IoT devices.
Click on + New.

Enter the device ID of your choice (e.g. Abidemi-smartphone).
Click Save.

Step 3: Simulate a Device to Send Telemetry Data:
We will be using the raspberry-pi-web-simulator.
Here is the link: https://azure-samples.github.io/raspberry-pi-web-simulator/#GetStarted

On a browser, copy and paste the link on your browser.

Go to line 15 and edit the connection string using the primary connection string. Copy the primary connection string from the device created and paste it there.

After editing, click on run.

Then click on Message to device:

Type any message in the message box and click on send message as seen below:

STAGE 2: Download IoT Plug and Play application on your smart phone form your app store:

After downloading and installing, open the app
Click on Scan QR code

Click on connect manually
In the IoT Hub device connection string, enter the your primary connection string key.
Click on connect.

STAGE 3:
Create an endpoint:
In your IoT Hub, go to Endpoints under Message routing.
Click on messaging route, click on add
Fill in the necessary details:

Enter endpoint type, pick storage.
Fill in Endpoint name of your choice.
Click on pick a container.

We have to create a new storage and container because we don't have anyone created before now.

Enter storage name and other basics:

Click on the storage you just created to create a container.

Click +container, enter the container name and click.

Click on select.

We are back to creating our endpoint route, click encoding with JSON
Click create + next.

STAGE 4: Step 1: create a route.
Enter the route name and data source as seen below:

Click on test route.
Create +add enrichments.

Step 2: Create enrichment.

STAGE 5: Open your storage account in a new tab.
Then back to your IoThub, click on file upload to upload file from your device.

On your device, click on image upload, then click on select image to upload to Azure storage.
Then select a file to upload.

Step 6: Verify Data in Blob Storage
Check Blob Storage:
After uploading your fine from your device, navigate to your Blob Storage container.

You should see files containing the telemetry data sent from your simulated device.

By following these steps, you've successfully created an IoT solution using Azure IoT Hub that sends telemetry data to Azure Blob Storage.

Creating an Azure Virtual Network with subnets

Akinsooto Abidemi — Thu, 11 Jul 2024 15:11:32 +0000

Setting up virtual networking in Azure involves creating and configuring an Azure Virtual Network (VNet), which allows you to securely connect Azure resources to each other.

Here's a step-by-step guide to setting up virtual networking in Azure:

Step 1: Sign in to the Azure Portal:
Go to portal.azure.com

Step 2: Create a Virtual Network:

In the Azure portal, click on Create a resource.
In the search box, type Virtual Network and select it.
Click on Create.

Step 3: Configure the Virtual Network:

Basics: Provide the necessary details such as Subscription, Resource group (you can create a new one or use an existing one), and Name for your VNet.
Region: Select the region where you want to deploy your VNet.

Step 4: Click on Next - IP Addresses:
Address space: Define the IP address range for your VNet. We will be using 192.148.30.0/26 in this article.

Note: If you are creating more than 1 subnet, click on Add IPV4 Address space.
You can also delete or edit the default subnet to add yours.

Step 5: Create Subnets

In the Subnets tab, click on + subnet.

Enter your subnet name and enter your IPV4 address range which is 192.148.30.0/26, starting address and size.

Note: You can create multiple subnets by repeating the above step.

We will be creating 4 subsets in this post.
Below image is another sample of the subnet i created using SALES as the name.

Also note that the IPv4 address range and starting address will change.
After adding your subnets, click Review + Create.

Then click on Create.

Click on Go to resources when deployment is done.

From the Overview page, navigate to the subnets from the settings pane.

I hope this guide provides an overview of setting up a virtual network in Azure.

Hosting a static website on Azure Blob Storage

Akinsooto Abidemi — Fri, 05 Jul 2024 22:16:53 +0000

Azure Storage is a cloud-based storage service provided by Microsoft Azure, designed to store a vast range of data types in a scalable, secure, and cost-effective manner.

Azure Blob Storage is a service for storing large amounts of unstructured data such as text, images, videos, and backup files.
Blob Storage is often used to host websites, distribute media files, and store backup data.

So how do you host a static website on an Azure Blob storage?
Here’s a step-by-step guide to help you get started:

Create an Azure Account If you don’t already have an Azure account, sign up at portal.azure.com
Prepare Your Website Files Ensure you have all the static files (html, git, font, JavaScript, images, etc.) ready in a local folder.

3. Create an Azure Storage Account
Azure Storage provides a scalable and secure way to host static websites.

Go to the Azure Portal: Log in at Azure Portal.
Create a Storage Account:
Click on the “Create a resource” button.

Search for “Storage Account” and select it.
Click “Create”.

4. Configure the Storage Account:
Subscription: Choose your subscription.
Resource group: Select an existing group or create a new one.
Storage account name: Enter a unique name for your storage account.
Region: Choose a region close to your users.
Performance: Choose Standard.
Replication: Choose the replication option that suits your needs (e.g., LRS, GRS).
Click “Review + Create” and then “Create” after validation.

When deployment is done, click on go to resources.

5. Navigate to Static Website

On Data Management dropdown
Click on Static Website

6. Configure the Static Website

Enable Static Website
Enter index document name
Enter error document path
Then save

Azure will create 2 links to host the static website. The primary and secondary endpoint.

7. Upload Your Website Files
Go back to the Storage Account:
Then navigate to the “Containers” section under “Data storage”.
You’ll see a new container called $web (created when you enabled static website hosting).
Upload Files:
Click on the `$web

8. Upload files from the PC
click on Upload.
Go to where the website folder is located on the computer.
Highlight all the files in the folder.
Drag and Drop the files from the location to the provided box.

It will upload the blob storage, it might take a while to upload all the files.

9. Testing on a browser

When your files uploads successfully, then paste your primary end point on your browser.

I hope this step-by-step guide helped you host a static website on Azure Storage. Thank you.

The Core Azure Architectural Components

Akinsooto Abidemi — Thu, 06 Jun 2024 15:11:05 +0000

Microsoft Azure is a public cloud computing platform with solutions including Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (PaaS) which can be used for services such as virtual computing, storage, networking, analytics and so much more. It is cost efficient, scalable, reliable and flexible.

Microsoft Azure core architectural components are Azure regions, Azure availability zones, resource groups, and Azure resource manager(ARM).

In this article, we will discuss the basic functions of these components.

Azure Regions: They are different geographical areas that consist availability zones. It is the location of data centers. They offer high availability to protect applications and data from data center failures.
There are over 60 regions and they are available in 140 countries.

Azure Availability Zones: They are physically separate locations within an azure region. Each zone is supported by one or more data centers. It reduces latency for global users and faster disaster recovery.
We can have a minimum of three (3) zones in a region.
Availability zone is a subset of a region.

Resource groups: a logical container for Azure resources for deployment. In a simpler form, resource group is like a folder where you keep all the related parts of a project together.
It helps unifies lifecycle management, access control, security and cost management.

Azure Resource Manager(ARM): is the deployment and management service for Azure. It is the overall system that lets you control and manage all folders and their contents efficiently. Some of the benefits of a resource manager is that all resources are in a centralized directory, tracks project planning and high-level reporting.

The core Azure architectural components such as regions, availability zones, resource groups are like an underlying building blocks for azure deployment and the Azure resource manager is used to manage these building blocks and the solutions built on them.

These key architectural components gives a better understanding of how Azure solutions are built and supported.