No longer do you have to manage multiple Dockerfiles and use the Builder Pattern. Now, you can save time by creating a multi-stage build process for your Java apps.
Should you use standard profilers, lightweight options, or APM tools? The answer is all three. Each one has its strengths and weaknesses, detailed here.
Auditing provides valuable information, but it can be a nightmare to implement. Fortunately, through Spring Data JPA, you can persist the columns you need.
In-memory data grids are often used to enhance performance. Learn how to use Hazelcast for caching data stored in the MySQL database accessed by Spring Data DAO objects.
Time to get to know your locks! Whether you need blocking or non-blocking locks or want to know more about how they work, this quick example will set you straight.
Dropwizard Metrics makes it easy to create a class, override check methods, and register them, enabling you to call all of your Java service's health checks.
Before picking a framework or a language, agree with your team on architecture. This sample Spring Boot app walks through a refactoring focusing on clean architecture.
Look at five scenarios for using Hystrix with other tools from the Netflix OSS stack like Feign and Ribbon and see how performance compares in each situation.
When mixing Java and Groovy, the time might come when you want to dip into Java's functional features, but while using Groovy's syntax. Enter closures.
If your priority is the performance of queries on large amounts of data and you have a lot of RAM, an in-memory data grid is the right solution for you!
When I started an app with IntelliJ, it always took more than 60 seconds to start the deployed app. No one bothered to examine why, so I took the 30 minutes to do it.
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