Node.js is growing in popularity, but how exactly does it work? This guide breaks down the terminology into Java-friendly terms for easy understanding.
If you're looking to get started with Docker, these tips will keep your Dockerfile up to snuff. Pin your dependencies, consider the order of your statements, and clean up.
Forget the cloud, it's time to go serverless. Using AWS Lambda and API Gateway can reduce costs and overhead, and it's easy to get your Spring Boot app running on it.
A common approach to cloud migration is to simply port material to the cloud, which is not always the best decision, considering the complexity of modern apps.
If you’re looking to load your full app configuration and use MockMVC, you should consider @SpringBootTest combined with @AutoConfigureMockMvc rather than @WebMvcTest.
It is no longer about mobile first, but instead about digital everywhere. Organizations need to ensure that their digital experiences reflect the quality of their brand.
If you're moving to Solr's distributed search system, there's a lot to keep in mind ranging from indexing differences to testing procedures to keeping ZooKeeper working.
Meta-monitoring is basically self-service for monitoring. There are several different requirements and methods that should be kept in mind when it comes to meta-monitoring.
This comprehensive guide to SAML covers how the authentication protocol works, how requests are generated and read, and what tools can help you keep projects secure.
Test automation is the most efficient and effective means of test execution. Best practices coupled with automated testing creates an essential component for successful deployment.
Running a truly elastic Elasticsearch cluster on Docker Swarm is hard. Here's how to get past Elasticsearch and Docker's pitfalls with IP addresses, networking, and more.
There are tons of benefits to running a personal CI server, including that it can prioritize your own branches and builds and that you can build and deploy while failing tests.
Unit tests provide quick feedback on code, can speed up the release pipeline, and much more. Why would a developer not want to write unit tests at all?
