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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. Recovery time of the latency p90. However, we noticed that GPT 3.5

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Title Launch Observability at Netflix Scale

The Netflix TechBlog

In Part 1 , we identified the challenges of managing vast content launches and the need for scalable solutions to ensure each titles success. Thank you for joining us on this exploration, and stay tuned for more insights and innovations as we continue to entertain theworld.

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Site Reliability Engineering

DZone

In the dynamic world of online services, the concept of site reliability engineering (SRE) has risen as a pivotal discipline, ensuring that large-scale systems maintain their performance and reliability.

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A Recap of the Data Engineering Open Forum at Netflix

The Netflix TechBlog

This talk will delve into the creative solutions Netflix deploys to manage this high-volume, real-time data requirement while balancing scalability and cost. Last but not least, thank you to the organizers of the Data Engineering Open Forum: Chris Colburn , Xinran Waibel , Jai Balani , Rashmi Shamprasad , and Patricia Ho.

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Conducting log analysis with an observability platform and full data context

Dynatrace

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. Business leaders can decide which logs they want to use and tune storage to their data needs.

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Automated observability, security, and reliability at scale

Dynatrace

To handle this challenge, enterprises need to automate and streamline the onboarding and lifecycle of tool configurations in the software development processes, including aspects of observability, security, alerting, and remediation. Stay tuned for more examples and easy-to-adopt automations provided in our public Github project.

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Growth Engineering at Netflix- Creating a Scalable Offers Platform

The Netflix TechBlog

Stay tuned for more details on this, as well as more details on the internals of the new SKU Platform in one of our upcoming blog posts. Join Growth Engineering and help us build the next generation of services that will allow the next 200 million subscribers to experience the joy of Netflix.