When it comes to integrating and managing data, there are quite a few tasks that are downright tedious. Data engineering is a tough job, but somebody's gotta do it!
Set up your pipeline so that when changes occur to a project in the monorepo, the CI for that corresponding project is triggered and a Docker image is built and deployed.
You've got three ways. The first one is the standard one following docker-compose conventions. The other ones can be used for defining reusable pieces for your tests.
We link Docker containers with each other to enable communication between them or to be sure that all of the tools and microservices are running on the same machine.
If you’re using Docker, the combination of Prometheus and Grafana offers an extremely enticing option to explore for reasons of ease of use and functionality.
Clustering and high availability configuration with RabbitMQ are pretty simple. Its UI management console offers good s support in the cluster monitoring process.
Moving to a microservices architecture is not just a matter of replacing method calls with HTTP requests. Welcome to the world of containers, reactive stacks, and more.
If compliance and security are a concern, you can set up Cassandra clusters with encryption in mind using SSL while ensuring nodes can still communicate with each other.
Creating an Octopus step template to create and push a Docker image to DockerHub is a good way to move from a VM to Containers while keeping the current infrastructure.
This in-depth look at how to Spring Boot Docker images to the Amazon EC2 Container Registry provides a good example of Spring, Java, the cloud, and container usage.
It's tempting to provision more memory to your VM than you need, but that can cause headaches—and containers might make it worse. The answer lies in auto-scaling.
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