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Why applying chaos engineering to data-intensive applications matters

Dynatrace

Stream processing systems, designed for continuous, low-latency processing, demand swift recovery mechanisms to tolerate and mitigate failures effectively. We designed experimental scenarios inspired by chaos engineering. Kafka Streams takes longer to recover from failures and presents volatile behavior.

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Reinventing our Dynatrace Core Values

Dynatrace

“It was an iterative process allowing us to reflect on the past, present, and future of Dynatrace, discuss our findings, and explore the results received in the employee experience discovery.” Stay tuned. ” Dynatrace CEO, Rick McConnell Now, our refreshed Dynatrace Core Values are established.

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Machine Learning for Fraud Detection in Streaming Services

The Netflix TechBlog

We present a systematic overview of the unexpected streaming behaviors together with a set of model-based and data-driven anomaly detection strategies to identify them. With the help of security experts, we have designed and developed heuristic functions in order to discover a wide range of suspicious behaviors.

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Best Practices in Cloud Security Monitoring

Scalegrid

This article strips away the complexities, walking you through best practices, top tools, and strategies you’ll need for a well-defended cloud infrastructure. Nevertheless, this integration can present certain challenges to organizations. Get ready for actionable insights that balance technical depth with practical advice.

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MongoDB Best Practices: Security, Data Modeling, & Schema Design

Percona

The main objective of this post is to share my experience over the past years tuning MongoDB and centralize the diverse sources that I crossed in this journey in a unique place. systemctl stop tuned $ systemctl disable tuned Dirty ratio The dirty_ratio is the percentage of total system memory that can hold dirty pages.

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Efficient SLO event integration powers successful AIOps

Dynatrace

For instance, consider how fine-tuned failure rate detection can provide insights for comprehensive understanding. Please refer to How to fine-tune failure detection (dynatrace.com) for further information. Every problem identified through Dynatrace Davis® AI indicates an issue with potential user impact.

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Bringing AV1 Streaming to Netflix Members’ TVs

The Netflix TechBlog

To achieve this goal, the Encoding Technologies team made the following design decisions about AV1 encoding recipes: We always encode at the highest available source resolution and frame rate. The Encoding Technologies team took a first stab at this problem by fine-tuning the encoding recipe. Stay tuned! Some titles (e.g.,

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