Dynatrace

JANUARY 16, 2023

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.

Open Source 335

Open Source Java Operating System Programming 335

Dynatrace

DECEMBER 15, 2020

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.

Operating System 106

Operating System Java Mobile Cache 106

ScaleOut Software

JULY 21, 2020

For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Java applications use a similar mechanism.). The net effect is that applications maintain a straightforward view of the IMDG as a unified key/value store for serialized application objects.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Java applications use a similar mechanism.). The net effect is that applications maintain a straightforward view of the IMDG as a unified key/value store for serialized application objects.

Analytics 52

Analytics Airlines Cache Scalability 52

The Netflix TechBlog

NOVEMBER 9, 2022

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

Hardware Cache Performance Latency 363

Brendan Gregg

MARCH 16, 2024

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 144

Java Cache Google Hardware 144

The Morning Paper

SEPTEMBER 24, 2020

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

Java Cache Benchmarking Programming 80