Devops Tools & AWS for Java Microservice Developers
This project demonstrates how to integrate essential DevOps tools with AWS cloud infrastructure to streamline the development and deployment of Java microservices. It covers the full development lifecycle, from coding and building to deploying and monitoring microservices in a cloud environment. By leveraging CI/CD pipelines, Docker, Kubernetes, and AWS services, this project showcases how modern tools can enhance productivity, scalability, and reliability.
Key Highlights:
- Automation: Set up CI/CD pipelines with Jenkins to automate testing, building, and deployment processes.
- Containerization: Utilize Docker to containerize Java microservices for efficient scaling and deployment.
- Orchestration: Implement Kubernetes for container orchestration, ensuring high availability and load balancing.
- Cloud Integration: Deploy microservices on AWS using EC2, S3, and RDS, leveraging AWS for cost-effective and scalable infrastructure.
- Monitoring & Logging: Integrate tools like Prometheus and Grafana for real-time monitoring, along with ELK (Elasticsearch, Logstash, Kibana) for logging and performance tracking.
Skills & Technologies:
- DevOps (Jenkins, Docker, Kubernetes, CI/CD)
- AWS (EC2, S3, RDS, IAM)
- Java & Spring Boot Microservices
- Monitoring & Logging (Prometheus, Grafana, ELK stack)
- Infrastructure as Code (Terraform/CloudFormation)
By using these tools and platforms, Java microservice developers can automate and streamline the software delivery process, improving efficiency and agility.
Description
October 23, 2023
This project focused on implementing a DevOps pipeline using AWS and a suite of tools tailored for Java microservice development. It involved automating code integration, continuous testing, and deployment processes, ensuring scalable and resilient cloud infrastructure. By leveraging AWS services like EC2, Lambda, and RDS, along with CI/CD tools such as Jenkins and Docker, the project streamlined the development lifecycle and enhanced operational efficiency for Java microservice applications.