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Why applying chaos engineering to data-intensive applications matters

Dynatrace

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. This significantly increases event latency.

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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. It can achieve impressive performance, handling up to 50 million operations per second.

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Evolving from Rule-based Classifier: Machine Learning Powered Auto Remediation in Netflix Data…

The Netflix TechBlog

Operational automation–including but not limited to, auto diagnosis, auto remediation, auto configuration, auto tuning, auto scaling, auto debugging, and auto testing–is key to the success of modern data platforms. In this way, no human intervention is required in the remediation process. Multi-objective optimizations. user name).

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Mastering MongoDB® Timeout Settings

Scalegrid

For example, if there’s some trouble connecting due to networking problems or excessive load requests from customers present on the server’s side, that might result in a resolution-related delay causing a subsequent timeout problem. x+ in Java). Modifying this setting does affect performance.

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

Dynatrace

Higher latency and cold start issues due to the initialization time of the functions. Data visualization : how to present, explore and interpret observability data from serverless functions intuitively, clearly, and holistically? Enable faster development and deployment cycles by abstracting away the infrastructure complexity.

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Best Practices for a Seamless MongoDB Upgrade

Percona

Upgrading to the newest release of MongoDB is the key to unlocking its full potential, but it’s not as simple as clicking a button; it requires meticulous planning, precise execution, and a deep understanding of the upgrade process. We walk you through the essential steps required.

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Towards a Reliable Device Management Platform

The Netflix TechBlog

The challenge, then, is to be able to ingest and process these events in a scalable manner, i.e., scaling with the number of devices, which will be the focus of this blog post. In-Order Processing The semantics of correct device information updates ingestion requires that messages be consumed in the order that they are produced.

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