Automating Continuous Deployment with AWS CodeDeploy and CodePipeline.

In this project, we will build a CI/CD pipeline that automates the process from code integration to deployment using AWS CodePipeline and CodeDeploy. The pipeline starts when code is committed to a branch in our GitHub repository. AWS CodePipeline automatically pulls the latest code, initiating CodeBuild for compiling and running unit tests. Once the tests pass, CodeDeploy deploys the application to our EC2 instances or other target platforms. This setup ensures seamless, automated deployments with continuous updates, providing a streamlined workflow from development to production. Read more.

Streamlined Continuous Integration Using AWS Code Build and Code Pipeline.

In this project, we will create a streamlined CI/CD pipeline using AWS CodeBuild and CodePipeline. The process starts when code is pushed to a branch in our GitHub repository. AWS CodePipeline triggers automatically, pulling the latest code and using CodeBuild to compile, run tests, and validate the application. If the build and tests succeed, the pipeline moves to the deployment stage, ensuring the application is updated smoothly across environments. This fully automated workflow simplifies integration and deployment, enabling continuous delivery with minimal manual intervention. Read more.

Terraform custom module to build provision and deploy multi-tier web application.

In this project, we will build a CI/CD pipeline that automates the entire process from code validation to deployment. It begins with code being checked into a branch in our GitHub repository. Jenkins will then pull the latest code, triggering SonarQube to perform static code analysis, scanning for bugs and vulnerabilities. If the code passes all quality checks, Jenkins will automatically deploy it to Docker, making the application accessible to end users via a web browser. read more

Building a robust cicd pipline with jenkins, SonarQube, Docker and Github on AWS

In this project, We will create a CI/CD pipeline that automates the process from code checking to deployment. First, we’ll check the code on one of our branches in the GitHub repository. After which SonarQube will perform static code analysis, scanning for bugs and vulnerabilities, and Jenkins will pull the code from GitHub. If the code passes the quality checks, Jenkins will then automatically deploy our code to docker which will then be accessed in the browser by our end users. read more.

BUILDING A CUSTOM 3 TIER VPC FROM SCRATCH A HANDS-ON LAB.

In this project, we will build a custom 3-tier VPC architecture, dividing the infrastructure into three layers: First tier (Public subnets): This tier contains resources like NAT gateways, load balancers, and bastion hosts, which are exposed to the internet.
Second tier (Private subnets: This layer hosts EC2 instances, which run your application and remain isolated from direct public access.
Third tier (Database subnets): This tier is dedicated to hosting your databases, ensuring they are securely separated from the other layers.

The subnets are dublicated a cross multiple availability zones for high availability and fault-tolerance.Finally we have Internet Gateway and rout table to allow resources in our VPC get access to the outside world. get more of this project here

Configuring Nat Gateways in a 3-Tier VPC: Enhancing Security and Connectivity in Cloud Infrastructures.

In this project, will create two NAT Gateways in two public subnets in different availability zones.

We will then create two Route Tables; we will add a public route to our private route tables to route traffic to the internet through the NAT gateways.

The first Route Table will be routing traffic to the internet through the NAT Gateway in the first availability zone and will be associated with the two private subnets, the application subnet, and the database subnet in the first availability zone.

The second Route Table will be routing traffic to the internet through the NAT Gateway in the second availability zone and will be associated with the app and database subnets in the second availability zone. read more

Building a Dynamic Website on AWS: A Comprehensive Project Guide.

According to the reference architecture,this project will be driven by a range of AWS services each playing a crucial role in creating a robust and efficient infrastructure for the dynamic website. These services includes: Virtual Private Cloud (VPC), Security Groups, EC2 Instances, Amazon RDS, NAT Gateways, Application Load balancers, Autoscaling Groups, Route 53, I AM roles Amazon Machine Image, SNS, AWS Certificate Manager, and MySQL Workbench. get this project here

A Comprehensive Guide to Dynamic Grafana Dashboards Using AWS CloudWatch and Prometheus integration.

In this project, we will:

  • Set up Grafana and connect it to AWS CloudWatch and Prometheus as data sources.
  • Create dynamic, interactive dashboards to visualize metrics from your infrastructure.
  • Monitor key performance indicators (KPIs) for your applications and services, such as EC2 instances and Docker containers.
  • Gain insights into your system’s health and performance, enabling you to make informed decisions based on real-time data.

 get this project here

Infrastructure Automaton: Automating EBS Snapshot Deletion with AWS Lambda.

In this project, we will automate the deletion of old EBS snapshots using AWS Lambda, triggered by Amazon EventBridge Scheduler. The EventBridge Scheduler triggers the Lambda function at specified intervals, which identifies and deletes outdated EBS snapshots. This automation helps reduce storage costs by ensuring that obsolete snapshots are regularly cleaned up, optimizing your AWS environment, and minimizing manual effort in managing backups. Read more.