Remove 2019 Remove Latency Remove Software Remove Software Engineering
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Site reliability done right: 5 SRE best practices that deliver on business objectives

Dynatrace

This shift is leading more organizations to hire site reliability engineers to guarantee the reliability and resiliency of their services. How site reliability engineering affects organizations’ bottom line SRE applies the disciplines of software engineering to infrastructure management, both on-premises and in the cloud.

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Netflix at AWS re:Invent 2019

The Netflix TechBlog

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. Technology advancements in content creation and consumption have also increased its data footprint. Wednesday?—?December

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Netflix at AWS re:Invent 2019

The Netflix TechBlog

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. Technology advancements in content creation and consumption have also increased its data footprint. Wednesday?—?December

AWS 100
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Netflix at AWS re:Invent 2019

The Netflix TechBlog

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. In 2019, Netflix moved thousands of container hosts to bare metal. Wednesday?—?December

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O’Reilly serverless survey 2019: Concerns, what works, and what to expect

O'Reilly

We suspect this points to a general drift toward software teams taking more responsibility for infrastructure, and increasingly, enabled by serverless options. As noted earlier, the majority of survey respondents are software engineers. latency, startup, mocking, etc.) Industries of survey respondents.

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Achieving observability in async workflows

The Netflix TechBlog

We are expected to process 1,000 watermarks for a single distribution in a minute, with non-linear latency growth as the number of watermarks increases. The goal is to process these documents as fast as possible and reliably deliver them to recipients while offering strong observability to both our users and internal teams.

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Automating chaos experiments in production

The Morning Paper

This is a fascinating paper from members of Netflix’s Resilience Engineering team describing their chaos engineering initiatives: automated controlled experiments designed to verify hypotheses about how the system should behave under gray failure conditions, and to probe for and flush out any weaknesses. On error rates.

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