A few words about me

As an experienced web and backend developer, I specialize in Java, Spring Boot, React, CSS, HTML 5, and JavaScript. My expertise extends to modern technologies such as Appium, Maven, Rest Assured, Node.js, Docker, Kafka, and PostgreSQL.

I am committed to building reliable, scalable, and efficient solutions that meet client needs, with a strong emphasis on performance and security. My aim is to deliver exceptional results that foster innovation and exceed expectations.

Detailed description of the project

This project was created by me as part of my microservices development training. The main goal is to learn and practice integration of different microservices.

The project implements functionality for user registration, adding posts and comments to them, as well as tracking all user actions via actionLogs, which allows you to analyse activity on the platform.

Detailed description of the tools

I use a number of modern tools and technologies for project development. IntelliJ IDEA Ultimate provides a convenient environment for coding.

The main development language is Java, and Spring Boot is used to create microservices. JWT and Spring Security are responsible for security and user authorisation, and Kafka is used for asynchronous communication between microservices.

Flyway is used for database migrations, and as databases I use H2 for local development and PostgreSQL for production.

Detailed description of the deployment process

Image Logs Stage: In this stage, the last 1000 lines of Docker container logs are retrieved from the remote server via an SSH request. This step allows you to capture the current logs of the container before it is stopped and removed.

Docker Stop Stage: At this stage, the current Docker container on the server is stopped and removed. This is necessary to prepare the server for deploying the new version of the application.

Data Check Stage: Here, a check of the current Docker environment on the server is performed, including information about the Docker network, registry, and user data validation. This ensures that all necessary information is correctly set up before starting the build process.

Build JAR Stage: In this stage, the JAR file is built from the application's source code using Maven. This is a critical step, as the JAR file will be included in the Docker image.

Build Docker Stage: After the JAR file is built, a new Docker image of the application is created and then pushed to the Docker Registry. This allows the application version to be ready for deployment on the server.

Deploy Stage: The final stage, where the new Docker image is pulled from the Docker Registry and deployed on the server. The container is started with specified parameters, such as the service port and name, and configured to automatically restart in case of failure.

Detailed description of the database and hosting

ScaleGrid provides AWS-based managed databases for high availability and scalability. PostgreSQL or other database can be easily deployed with this platform and backups and monitoring can be managed.

Hosting is provided on a dedicated server that also uses Docker for application deployment. This allows for flexible resource management and maintains high performance of the service.