Remove Benchmarking Remove Java Remove Tuning
article thumbnail

RabbitMQ vs. Kafka: Key Differences

Scalegrid

Optimizing RabbitMQ requires clustering, queue management, and resource tuning to maintain stability and efficiency. Performance and Benchmark Comparison When comparing RabbitMQ and Kafka, performance factors such as throughput, latency, and scalability play a critical role.

Latency 147
article thumbnail

Dynatrace Application Security detects and blocks attacks automatically in real-time

Dynatrace

A perfect OWASP benchmark score for injection attacks – 100% accuracy and zero false positives – impressively proves the precision of our approach. We will further enhance the detection and blocking capability to cover additional attack types, so stay tuned for updates! How to get started.

Traffic 246
Insiders

Sign Up for our Newsletter

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

article thumbnail

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. SolarisUnix. Supported Languages. JavaScript.

article thumbnail

A look behind the scenes of AWS Lambda and our new Lambda monitoring extension

Dynatrace

This has led to the recent release of our new Lambda monitoring extension supporting Node.js, Java, and Python. When we set out to create the new Lambda extension, we benchmarked other dedicated Lambda monitoring solutions that were already on the market. Stay tuned?for Dynatrace has offered a Lambda code module for Node.js

Lambda 278
article thumbnail

Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

Our tactical approach was to use Netflix-specific libraries for collecting traces from Java-based streaming services until open source tracer libraries matured. We chose Open-Zipkin because it had better integrations with our Spring Boot based Java runtime environment.

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 103
article thumbnail

Kubernetes Observability: Code Profiling With Flame Graphs

Percona

The documentation mentions that the supported languages to profile are Go, Java (any JVM-based language), Python, Ruby, and NodeJS. Manual flame graphs collection Although the tool is excellent and automatically provides flame graphs, we don’t have much control over tuning the selected profiler.

Code 124