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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 244
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The Speed of Time

Brendan Gregg

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. top(1) showed that only the Cassandra database was consuming CPU. There's no Java stack—there should be a tower of green Java methods—instead there's only a single green frame or two.

Speed 126
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Java Or Scala Performance – Which One Is Better?

Alex Podelko

For years, the debate has raged on regarding which programming language is better, Java or Scala. While some argue that just because Java is older it is better, others believe Scala is better for a variety of reasons. In essence, Java is classified as an object oriented programming language. The Size and Quality of the Code.

Java 100
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Kubernetes Observability: Code Profiling With Flame Graphs

Percona

It shows which code paths are more busy on the CPU in given samples. The idea behind this is to speed up cluster resources such as garbage collection, reduce image transfer over the network, and accelerate the application launch. Flame graphs are a graphical representation of function calls. Try Percona Distribution for MySQL today!

Code 106
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Mastering MongoDB® Timeout Settings

Scalegrid

How the MongoDB timeout is set up can significantly affect your application’s performance, no matter if you are an experienced MongoDB user or just starting with NoSQL databases. Typical applications are interacting with different database servers based on the business logic. x+ in Java).

Java 130
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Dynatrace Application Security boosts BizDevSecOps for Kubernetes

Dynatrace

Organizations are shifting towards cloud-native stacks where existing application security approaches can’t keep up with the speed and variability of modern development processes. In cloud-native application stacks, everything is code. and Java are the most popular languages within Kubernetes environments.

Java 247
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The Speed of Time

Brendan Gregg

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. top(1) showed that only the Cassandra database was consuming CPU. There's no Java stack—there should be a tower of green Java methods—instead there's only a single green frame or two.

Speed 52