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Why applying chaos engineering to data-intensive applications matters

Dynatrace

Such frameworks support software engineers in building highly scalable and efficient applications that process continuous data streams of massive volume. The following are key insights from our extensive experimental analysis: Flink, Kafka Streams, and Spark Structured Streaming are resilient to different types and degrees of failure.

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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. This technique facilitates validation on multiple fronts.

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MySQL Performance Tuning 101: Key Tips to Improve MySQL Database Performance

Percona

While there is no magic bullet for MySQL performance tuning, there are a few areas that can be focused on upfront that can dramatically improve the performance of your MySQL installation. What are the Benefits of MySQL Performance Tuning? A finely tuned database processes queries more efficiently, leading to swifter results.

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Dynatrace simplifies StatsD, Telegraf, and Prometheus observability with Davis AI

Dynatrace

Stay tuned for an upcoming blog series where we’ll give you a more hands-on walkthrough of how to ingest any kind of data from StatsD, Telegraf, Prometheus, scripting languages, or our integrated REST API. So you get auto-adaptive baselining for custom metrics and Davis automated root cause analysis from Day 1.

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Observability engineering: Getting Prometheus metrics right for Kubernetes with Dynatrace and Kepler

Dynatrace

For busy site reliability engineers, ensuring system reliability, scalability, and overall health is an imperative that’s getting harder to achieve in ever-expanding, cloud-native, container-based environments. Please stay tuned! To get a more granular look into telemetry data, many analysts rely on custom metrics using Prometheus.

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How Netflix uses eBPF flow logs at scale for network insight

The Netflix TechBlog

The data is also used by security and other partner teams for insight and incident analysis. Summary Providing network insight into the cloud network infrastructure using eBPF flow logs at scale is made possible with eBPF and a highly scalable and efficient flow collection pipeline.

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Automated observability, security, and reliability at scale

Dynatrace

Dynatrace provides automation for detecting problems, and you can opt to automatically run a change-impact analysis report to proactively validate important objectives. Dedicated configuration files are used to create teams and maintain relevant information, such as responsibilities and contact details, in a scalable and automated way.