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Java memory optimizations: 3x Jenkins performance improvement with Dynatrace

Dynatrace

In my last blog I covered how our Engineering Productivity (EP) and Infrastructure & Services (IAS) Teams are ensuring that our DevOps tool chain is running as expected, even while workloads have shifted as our global engineering teams are now working from home. But let’s start from the beginning: Step #1 – Switching to Java 11.

Java 332
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Extend infrastructure observability with JMX Extensions and additional full-stack metrics

Dynatrace

Infrastructure exists to support the backing services that are collectively perceived by users to be your web application. Issues that manifest themselves as performance degradation on a user’s device can often be traced back to underlying infrastructure issues. Dynatrace news. Monitor additional metrics.

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A look behind the scenes of AWS Lambda and our new Lambda monitoring extension

Dynatrace

This has led to the recent release of our new Lambda monitoring extension supporting Node.js, Java, and Python. Distributing accounts across the infrastructure is an architectural decision, as a given account often has similar usage patterns, languages, and sizes for their Lambda functions. file uploaded to AWS Lambda.

Lambda 278
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Eliminate inefficiencies and innovate faster by optimizing hybrid mainframe environments on IBM Z

Dynatrace

With the release of Dynatrace 1.194, we’ve added CPU related infrastructure metrics for LPARs (host metrics) and regions (process metrics) and expanded our multidimensional analysis to IBM Z systems, including CICS, IMS, and the CICS transaction gateway. . Prerequisites. ActiveGate with zRemote version 1.193.

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Get out-of-the-box visibility into your ARM platform (Early Adopter)

Dynatrace

Other distributions like Debian and Fedora are available as well, in addition to other software like VMware, NGINX, Docker, and, of course, Java. This is especially the case with microservices and applications created around multiple tiers, where cheaper hardware alternatives play a significant role in the infrastructure footprint.

Java 182
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It’s time to migrate from NAM to Dynatrace

Dynatrace

It evolved from the simplest web server plugins to runtime Java profilers to real-time performance monitoring of all transactions flowing end to end through application servers. The market grew tremendously, fueled by the adoption of the Java platform as the application server standard. ” The AppMon wave.

Network 221
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Seamlessly Swapping the API backend of the Netflix Android app

The Netflix TechBlog

Over the course of this post, we will talk about our approach to this migration, the strategies that we employed, and the tools we built to support this. service with a composable JavaScript API that made downstream microservice calls, replacing the old Java API. Java…Script? It was a Node.js

Latency 241