Choosing the right set of automation tools is paramount in successful test automation. Find an overview of various tools strengths and weaknesses here.
While merging and rebasing are similar in Git, they serve two different functions. Here's what you should know to keep your histories as clean or as complete as you like.
Learn how to create a serverless Angular app, and get rid of concerns like elasticity, scale, and resiliency so you can concentrate fully on your code.
There's no silver bullet when it comes to Docker logging. Docker logs are super useful, but they represent only one dimension of data being generated by your Docker host.
web3j seamlessly integrates with Spring Frameworks. Simply create a new Spring Boot app, add the starter to your configuration, and create a service with web3j.
In this post we take a look at how to quickly create a Python function using AWS Lambda, including their configurations and uploading them to the service.
Learn about dissecting release pipelines, as well as the underlying blocks that any good release pipeline will be comprised of and how they fit together.
You can augment and enhance Apache Spark clusters using Amazon EC2's computing resources. Find out how to set up clusters and run master and slave daemons on one node.
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.
Running tests that involve a database can sometimes be a bit hairy. In this post, we take a look at a TestContainers, a solution to help you get around those issues.
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.
