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Performance Tuning Java Applications in Linux

DZone

Learn how to make your Java applications performance perfectly. You may also like: How to Properly Plan JVM Performance Tuning. While Performance Tuning an application both Code and Hardware running the code should be accounted for. Ensure there is enough RAM to hold your java process. Avoid Swapping to Disk.

Java 147
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PostgreSQL vs. Oracle: Difference in Costs, Ease of Use & Functionality

Scalegrid

Compare ease of use across compatibility, extensions, tuning, operating systems, languages and support providers. PostgreSQL offers more light-weight tuning capabilities, like their Query Optimizer, and DBaaS platforms like ScaleGrid offer advanced slow query analysis. Compare Ease of Use. JavaScript. Objective C. Visual Basic.Net.

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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 133
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The Speed of Time

Brendan Gregg

There's no Java stack—there should be a tower of green Java methods—instead there's only a single green frame or two. This is how Java flame graphs looked at the time. Later that year I prototyped the c2 frame pointer fix that became -XX:+PreserveFramePointer, which fixes Java stacks in these profiles.

Speed 126
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Optimize your applications with 24×7 continuous thread analysis

Dynatrace

Thread dumps allow Java developers to understand which threads execute which code and whether or not certain threads are waiting or locked. Ultimately, it leads to a state where your system won’t be able to process more data even if you add more hardware. At this point, you might want to know the root cause.

Java 103
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Structural Evolutions in Data

O'Reilly

Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work. But in its early form of a Hadoop-based ML library, Mahout still required data scientists to write in Java. Google goes a step further in offering compute instances with its specialized TPU hardware. ” scenarios at industrial scale.

article thumbnail

The Speed of Time

Brendan Gregg

There's no Java stack—there should be a tower of green Java methods—instead there's only a single green frame or two. This is how Java flame graphs looked at the time. Later that year I prototyped the c2 frame pointer fix that became -XX:+PreserveFramePointer, which fixes Java stacks in these profiles.

Speed 40