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Kubernetes in the wild report 2023

Dynatrace

Java, Go, and Node.js Accordingly, the remaining 27% of clusters are self-managed by the customer on cloud virtual machines. Of the organizations in the Kubernetes survey, 71% run databases and caches in Kubernetes, representing a +48% year-over-year increase. Java, Go, and Node.js Kubernetes moved to the cloud in 2022.

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Seeing through hardware counters: a journey to threefold performance increase

The Netflix TechBlog

We decided to move one of our Java microservices?—?let’s While we understand it’s virtually impossible to achieve a linear increase in throughput as the number of vCPUs grow, a near-linear increase is attainable. We also see much higher L1 cache activity combined with 4x higher count of MACHINE_CLEARS. let’s call it GS2?—?to

Hardware 363
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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., If you try running Soot , WALA , or Doop out of the box on a real-world Java enterprise application you’re likely to get very low coverage, or possibly even no results at all if the tool fails to complete the analysis.

Java 80
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The Return of the Frame Pointers

Brendan Gregg

Only in extreme circumstances does the cost (in processor time and I-cache footprint) translate to a tangible benefit - circumstances which usually resort to hand-coded assembly anyway. You're just saving a pushl, movl, an series of operations that (for obvious reasons) is highly optimized on x86. The actual overhead depends on your workload.

Java 145
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Azure Well-Architected Framework: What it is and how to tame it with AI and automation

Dynatrace

Getting precise root cause analysis when dealing with several layers of virtualization in a containerized world. Missing caching layers. The Dynatrace Application Security module automatically detects, assesses, and remediates open-source and third-party vulnerabilities for Java workloads. Reduce your organizational risk.

Azure 182
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HammerDB for Managers

HammerDB

An important concept was to simulate database users called Virtual Users in parallel (rather than concurrently) to accurately simulate a real database workload with multiple users running from separate systems. Cached vs Scaled Workloads. The workload also outputted the data from the Virtual Users by simulating individual terminals.

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OneAgent release notes version 1.207

Dynatrace

Resolved IIS crash on RUM activity interactions (user caching is now disabled if UEM is enabled). Citrix Profile Management now correctly indicated as Citrix Common technology, instead of Citrix Virtual Delivery Agent (VDA). General availability (Build 1.207.185). 21 total resolved issues (1 vulnerability). Resolved issues. Mainframe.