article thumbnail

Seeing through hardware counters: a journey to threefold performance increase

The Netflix TechBlog

We decided to move one of our Java microservices?—?let’s We turned to JVM-specific profiling, starting with the basic hotspot stats, and then switching to more detailed JFR (Java Flight Recorder) captures to compare the distribution of the events. Cache line is a concept similar to memory page?—? let’s call it GS2?—?to

Hardware 363
article thumbnail

How Caches Become Databases – And Why You Don’t Want This

VoltDB

The most obvious and common way this happens is when companies try to evolve their caches into a data platform that can, for example, be used as highly available enterprise key-value stores for volatile data. Let’s look at a typical scenario involving the javax cache API, also known as JSR107. How hard can it be?

Cache 52
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

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 238
article thumbnail

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., Being static , it has the advantage that analysis results can be produced solely from source code without the need to execute the program. PLDI’20. Enterprise applications have (more than?)

Java 80
article thumbnail

Radically speed up your code by fixing slow or frequent garbage collection

Dynatrace

Java Memory Management, with its built-in garbage collection, is one of the language’s finest achievements. However, garbage collection is one of the main sources of performance and scalability issues in any modern Java application. Optimize your code by finding and fixing the root cause of garbage collection problems.

Speed 164
article thumbnail

The Return of the Frame Pointers

Brendan Gregg

Apart from library code, maybe your application doesn't have frame pointers either, in which case everything is broken. 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.

Java 145
article thumbnail

AI-driven analysis of Spring Micrometer metrics in context, with typology at scale

Dynatrace

One of these solutions is Micrometer which provides 17+ pre-instrumented JVM-based frameworks for data collection and enables instrumentation code with a vendor-neutral API. Spring Boot, on the other hand, is a Java framework for building cloud-native Java applications. That’s a large amount of data to handle.

Metrics 196