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Achieving High Availability in CI/CD With Observability

DZone

Since most application releases depend on cloud infrastructure, having good continuous integration and continuous delivery (CI/CD) pipelines and end-to-end observability becomes essential for ensuring highly available systems.

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Building Resilient Systems With Chaos Engineering

DZone

In today’s digital age, the reliability and availability of software systems are critical to the success of businesses. Therefore, it is essential for organizations to ensure that their systems are resilient and can withstand unexpected failures or disruptions. One approach to achieving this is through chaos engineering.

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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

The Machine Learning Platform (MLP) team at Netflix provides an entire ecosystem of tools around Metaflow , an open source machine learning infrastructure framework we started, to empower data scientists and machine learning practitioners to build and manage a variety of ML systems.

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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. We designed experimental scenarios inspired by chaos engineering.

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The platform engineer role: A game-changer or just hype?

Dynatrace

Site reliability engineering first emerged to address cloud computing’s new performance needs. Today, the platform engineer role is gaining speed as the newest byproduct of scaling DevOps in the emerging but complex cloud-native world. Understanding the platform engineer role DevOps is a constantly evolving discipline.

Games 229
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1. Streamlining Membership Data Engineering at Netflix with Psyberg

The Netflix TechBlog

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. Our audits would detect this and alert the on-call data engineer (DE).

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What is chaos engineering?

Dynatrace

Chaos engineering answers this need so organizations can deliver robust, resilient cloud-native applications that can stand up under any conditions. What is chaos engineering? Chaos engineers ask why. As chaos engineers grow confident in their testing, they change more variables and broaden the scope of the disaster.