There’s a newer approach to developer observability that helps with deeper understanding. Learn how code works in production, not in theory.
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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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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.
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Observability is Cultural
To leverage observability, we need a significant shift in our corporate culture that encapsulates the entire company and goes beyond tools.
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Remote Debugging and Developer Observability
Connect to remote processes to solve bugs using remote debugging and observability. Learn how to securely scale debugging to match growth!
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Observability for JVM Frameworks with Grafana in Java and Kotlin
Learn about observability configurations and libraries required over a range of frameworks using two JVM languages, namely Java and Kotlin.
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Continuous Production Profiling and Diagnostics
I’ve gotten a lot of questions about continuous production profiling lately. Why would anyone want to profile in production, or, if production profiling seems reasonable, why the heck leave it on continuously?
I thought I’d take a few moments and share my take on the problem and the success I’ve seen the past years applying continuous production profiling in systems in the real world.
Profiling these days is no longer limited to high overhead development profilers. The capabilities of the production time profilers are steadily increasing and their value is becoming less controversial, some preferring them for complex applications even during development.
