We’ve added extra coupons for our free Continuous Feedback Udemy course! We’re glad to see it’s been valuable for some of you.
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Step up your coding with Continuous Feedback: Free Udemy Course
What do you know about the code changes that were just introduced into the codebase? When will you notice if something goes wrong?
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Foojay Podcast #43: Modern Java Testing
Learn from the experts in this podcast about testing methodologies, tools, and best practices, empowering you to write reliable Java applications.
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Couch to fully-observed code with Spring Boot 3.2, Micrometer Tracing, and Digma
Collecting important data about your code in dev and test has become trivial, it’s now also getting easier to put that data to use.
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Beyond Pass/Fail- a Modern Approach to Java Integration Testing
Tests can run limited sets of assertions on your code, or reveal important insights about how your application really works!
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Observing Java Applications Running via Docker Compose Using OpenTelemetry
An easy non-obtrusive way to collect data about your dockerized app without changing your existing docker-compose.yml or docker files.
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Effective Coding with Java Observability
What are examples of things that observability can tell you, right now, about your code and how can it help you improve it? We’ll look at concrete code examples to find out!
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Announcing the Digma Beta: First Runtime Linter for Java Code
We are looking for senior Java developers to participate in the beta program of a new free runtime linter that provides Continuous code Feedback.
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Java Developer vs. ChatGPT Part I: Writing a Spring Boot Microservice
Pitting a seasoned Java developer against the all-knowing generative AI to find out… can AI generate a Java microservice end-to-end?
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Not Your Grandfather’s Logs — A Java Library’s New Approach To Observability
How a Java library is taking a completely new approach to understanding what the code does, and why it makes perfect developer sense.
