Remove Latency Remove Metrics Remove Performance Remove Presentation
article thumbnail

Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

RedisĀ® is an in-memory database that provides blazingly fast performance. This makes it a compelling alternative to disk-based databases when performance is a concern. You might already use ScaleGrid hosting for Redis hosting to power your performance-sensitive applications.

Metrics 130
article thumbnail

Why applying chaos engineering to data-intensive applications matters

Dynatrace

Performance is usually a primary concern when using stream processing frameworks. See more about the performance of stream processing frameworks in our published paper. ShuffleBench i s a benchmarking tool for evaluating the performance of modern stream processing frameworks. This significantly increases event latency.

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

Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

While off-the-shelf models assist many organizations in initiating their journeys with generative AI (GenAI), scaling AI for enterprise use presents formidable challenges. This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability.

Cache 204
article thumbnail

Improved Alerting with Atlas Streaming Eval

The Netflix TechBlog

A few years ago, we were paged by our SRE team due to our Metrics Alerting System falling behindā€Šā€”ā€Šcritical application health alerts reached engineers 45 minutes late! Hence, we started down the path of alert evaluation via real-time streaming metrics. This has proven to be valuable towards reducing Mean Time to Recover (MTTR).

Storage 288
article thumbnail

Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

It helps developers and operators identify and troubleshoot issues, optimize performance and improve user experience. Higher latency and cold start issues due to the initialization time of the functions. Observability is typically achieved by collecting three types of data from a system, metrics, logs and traces.

article thumbnail

Time to First Byte: What It Is and Why It Matters

CSS Wizardry

However, one metric I feel that front-end developers overlook all too quickly is Time to First Byte (TTFB). The firstā€”and often most surprising for people to learnā€”thing that I want to draw your attention to is that TTFB counts one whole round trip of latency. can all provide valuable insights. But what else is TTFB?

Latency 269
article thumbnail

Towards a Reliable Device Management Platform

The Netflix TechBlog

Thus, the implemented solution must integrate with Netflix Spring facilities for authentication and metrics support at the very minimum?ā€”?the A timeline of the transition from Spring KafkaListener to Alpakka-Kafka is presented here for a better understanding of the motivations for the transition. million elements.

Latency 213