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Title Launch Observability at Netflix Scale

The Netflix TechBlog

Part 3: System Strategies and Architecture By: VarunKhaitan With special thanks to my stunning colleagues: Mallika Rao , Esmir Mesic , HugoMarques This blog post is a continuation of Part 2 , where we cleared the ambiguity around title launch observability at Netflix. The response schema for the observability endpoint.

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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.

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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. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.

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A Recap of the Data Engineering Open Forum at Netflix

The Netflix TechBlog

This “Enterprise Data Model/Architect Agent” employs generative AI techniques for autonomous enterprise data modeling and architecture. Tulika Bhatt, Senior Data Engineer at Netflix, shared how her team manages impression data at scale. Until next time!

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Automated observability, security, and reliability at scale

Dynatrace

As software development grows more complex, managing components using an automated onboarding process becomes increasingly important. This is especially crucial in microservice architectures, where the number of components can be overwhelming. You can read all about it in our Configuration as Code documentation.

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Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and…

The Netflix TechBlog

Now, imagine yourself in the role of a software engineer responsible for a micro-service which publishes data consumed by few critical customer facing services (e.g. Please share your experience by adding your comments below and stay tuned for more on data lineage at Netflix in the follow up blog posts. .

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Dynatrace extends distributed tracing for serverless on AWS Lambda (GA)?

Dynatrace

Serverless architectures help developers innovate more efficiently and effectively by removing the burden of managing underlying infrastructure. Dynatrace is happy to announce its enhanced AWS Lambda extension, expanding its support for Amazon Web Services (AWS) Lambda and serverless architectures. stay tuned?for AWS Lambda?extension

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