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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. Because of its adaptability, Prometheus has become an essential tool for observability engineering.

Metrics 171
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Data Engineers of Netflix?—?Interview with Pallavi Phadnis

The Netflix TechBlog

Data Engineers of Netflix?—?Interview Interview with Pallavi Phadnis This post is part of our “ Data Engineers of Netflix ” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Pallavi Phadnis is a Senior Software Engineer at Netflix.

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MySQL General Tablespaces: A Powerful Storage Option for Your Data

Percona

Managing storage and performance efficiently in your MySQL database is crucial, and general tablespaces offer flexibility in achieving this. In contrast to the single system tablespace that holds system tables by default, general tablespaces are user-defined storage containers for multiple InnoDB tables.

Storage 87
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Building an elastic query engine on disaggregated storage

The Morning Paper

Building an elastic query engine on disaggregated storage , Vuppalapati, NSDI’20. have altered the many assumptions that guided the design and optimization of the Snowflake system. The caching use case may be the most familiar, but in fact it’s not the primary purpose of the ephemeral storage service.

Storage 112
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New analytics capabilities for messaging system-related anomalies

Dynatrace

Messaging systems can significantly improve the reliability, performance, and scalability of the communication processes between applications and services. In serverless and microservices architectures, messaging systems are often used to build asynchronous service-to-service communication. Dynatrace news. This is great!

Analytics 180
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Improved Alerting with Atlas Streaming Eval

The Netflix TechBlog

Engineers want their alerting system to be realtime, reliable, and actionable. A few years ago, we were paged by our SRE team due to our Metrics Alerting System falling behind — critical application health alerts reached engineers 45 minutes late! It opens doors to support more exciting use-cases.

Storage 288
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What is predictive AI? How this data-driven technique gives foresight to IT teams

Dynatrace

Technology and operations teams work to ensure that applications and digital systems work seamlessly and securely. Predictive AI uses statistical algorithms and other advanced machine learning techniques to anticipate what might happen next in a system. This data-driven approach fosters continuous refinement of processes and systems.