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Unlock end-to-end observability insights with Dynatrace PurePath 4 seamless integration of OpenTracing for Java

Dynatrace

Cloud-native technologies and microservice architectures have shifted technical complexity from the source code of services to the interconnections between services. Deep-code execution details. Dynatrace news. Always-on profiling in transaction context. Upgrade OpenTracing instrumentation with high-fidelity data provided by OneAgent.

Java 235
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How Java Profilers Work

DZone

One of the best tools we have today for understanding application behavior and troubleshooting performance issues are Java profilers. Java profilers monitor JVM execution at the bytecode level and can provide information on thread execution and locks, heap memory usage, garbage collection, hot methods, exceptions, class loading, and more.

Java 100
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Radically speed up your code by fixing slow or frequent garbage collection

Dynatrace

Java Memory Management, with its built-in garbage collection, is one of the language’s finest achievements. However, garbage collection is one of the main sources of performance and scalability issues in any modern Java application. Optimize your code by finding and fixing the root cause of garbage collection problems.

Speed 165
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Unit Testing Log Messages Made Easy

DZone

As a Java Developer, we need to cover a lot of scenarios to ensure the quality of our software and catch bugs as soon as possible when introducing a new code. The answer which the community provided works well, but it is a lot of boilerplate code to just assert your log events. So the LogCaptor library came into life.

Testing 360
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Kubernetes Observability: Code Profiling With Flame Graphs

Percona

It shows which code paths are more busy on the CPU in given samples. Kubernetes limitations In Linux, by default, performance system events can’t be collected by unprivileged users. The documentation mentions that the supported languages to profile are Go, Java (any JVM-based language), Python, Ruby, and NodeJS.

Code 109
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Dynatrace and Red Hat expand enterprise observability to edge computing

Dynatrace

Kubernetes observability Helps to understand and troubleshoot the health and performance of your MicroShift deployments and optimize resources by providing out-of-the-box alerting and anomaly detection, automated root cause analysis, as well as metrics, events, and topology in context. Try it out with a free trial.

Retail 260
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Application observability meets developer observability: Unlock a 360º view of your environment

Dynatrace

But developers need code-level visibility and code-level data.” That’s not how I envision code-level observability,” Laifenfeld said. Laifenfeld argued that developers shouldn’t bear the burden of the additional workload when their focus is their code: “Learning Kubernetes as a developer is not easy,” she said.