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Progressive delivery at cloud scale: Optimizing CPU intensive code with Dynatrace

Dynatrace

And the code-level root cause information is what makes troubleshooting easy for developers. As Dynatrace automatically captures stack traces for all threads at all time the CPU Hotspot analysis makes it easy to identify which code is consuming all that CPU in that particular thread. Step 3: Identifying root-cause in code.

Code 246
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AI-driven analysis of Spring Micrometer metrics in context, with typology at scale

Dynatrace

One of these solutions is Micrometer which provides 17+ pre-instrumented JVM-based frameworks for data collection and enables instrumentation code with a vendor-neutral API. Spring Boot, on the other hand, is a Java framework for building cloud-native Java applications. That’s a large amount of data to handle.

Metrics 246
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Seamlessly Swapping the API backend of the Netflix Android app

The Netflix TechBlog

On the Android team, while most of our time is spent working on the app, we are also responsible for maintaining this backend that our app communicates with, and its orchestration code. Image taken from a previously published blog post As you can see, our code was just a part (#2 in the diagram) of this monolithic service. Java…Script?

Latency 241
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Announcing new and super fast Android auto-instrumentation (EAP)

Dynatrace

Moreover, features like Instant Run and the Gradle Build Cache weren’t supported. Out-of-the-box support for Instant Run and the Gradle Build Cache make the auto-instrumentation process barely noticeable. For bytecode instrumentation, we rely on a well-tested framework that’s also the foundation of the OneAgent Java module.

Cache 35
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Static Analysis of Java Enterprise Applications: Frameworks and Caches, the Elephants in the Room

The Morning Paper

Static analysis of Java enterprise applications: frameworks and caches, the elephants in the room , Antoniadis et al., Being static , it has the advantage that analysis results can be produced solely from source code without the need to execute the program. PLDI’20. Enterprise applications have (more than?)

Java 80
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The road to observability with OpenTelemetry demo part 1: Identifying metrics and traces

Dynatrace

But its underlying goal is quite humble and straightforward: it wants to enable you to observe an IT system (for example, a web application, infrastructure, or services) and gain insight to its behavior, such as performance, error rates, hot spots of executed instructions in code, and more. Those are prime candidates for their own spans.

Metrics 245
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Eliminate inefficiencies and innovate faster by optimizing hybrid mainframe environments on IBM Z

Dynatrace

This real-time visibility, as well as proven code-level analysis from cloud to the mainframe, gives enterprises a huge competitive advantage—they can eliminate inefficiencies and consequently, innovate at a faster rate. While a general processor can handle any workload, a zIIP can process only certain workloads like DB2, Java, or XML.