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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 236
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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. It prevents your application from fully leveraging the available CPU. Dynatrace news.

Speed 165
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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 114
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Dynatrace simplifies OpenTelemetry metric collection for context-aware AI analytics

Dynatrace

Code changes are often required to refine observability data. This results in site reliability engineers nudging development teams to add resource attributes, endpoints, and tokens to their source code. Kubernetes workload pages offer resource analysis, lists of services, pods, events, and logs.

Analytics 283
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Best of breed observability with Spring Micrometer and Dynatrace

Dynatrace

OneAgent also provides Spring Micrometer metrics with best-in-class distributed tracing, plus memory and garbage collector analysis for Spring Java applications and microservices. Auto-enrichment is also available in cases where OneAgent is unavailable or unnecessary. Notice that the page is Kubernetes-centric.

Metrics 200
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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.

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Dynatrace with industry consortium submits OpenFeature standard as CNCF sandbox project

Dynatrace

They enable product delivery and SRE teams to turn functionality on and off at runtime without deploying new code. This decoupling of code deployment from feature release is a crucial enabler for modern Continuous Delivery practices. Proprietary SDKs create adoption challenges. SDKs are lightweight, developer friendly, and flexible.

Java 259