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Evolving from Rule-based Classifier: Machine Learning Powered Auto Remediation in Netflix Data…

The Netflix TechBlog

Operational automation–including but not limited to, auto diagnosis, auto remediation, auto configuration, auto tuning, auto scaling, auto debugging, and auto testing–is key to the success of modern data platforms. We have also noted a great potential for further improvement by model tuning (see the section of Rollout in Production).

Tuning 210
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What is IT automation?

Dynatrace

As organizations continue to adopt multicloud strategies, the complexity of these environments grows, increasing the need to automate cloud engineering operations to ensure organizations can enforce their policies and architecture principles. Automating IT practices without integrated AIOps presents several challenges.

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QCon London: Lessons Learned From Building LinkedIn’s AI/ML Data Platform

InfoQ

He specifically delved into Venice DB, the NoSQL data store used for feature persistence. The presenter shared the lessons learned from evolving and operating the platform, including cluster management and library versioning. By Rafal Gancarz

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Web Performance Bookshelf

Rigor

Take, for example, The Web Almanac , the golden collection of Big Data combined with the collective intelligence from most of the authors listed below, brilliantly spearheaded by Google’s @rick_viscomi. This book presents 14 specific rules that will cut 25% to 50% off response time when users request a page.

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USENIX LISA 2018: CFP Now Open

Brendan Gregg

Some topics are still present at LISA, such as network management and uptime (reliability), but many others have been updated over the years. And we believe that everyone has valuable stories to share: Your tales of trial and error, analysis and workarounds, or architecture migrations, can happen at any company. ## Submit Your Work!

DevOps 43
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USENIX LISA 2018: CFP Now Open

Brendan Gregg

Some topics are still present at LISA, such as network management and uptime (reliability), but many others have been updated over the years. And we believe that everyone has valuable stories to share: Your tales of trial and error, analysis and workarounds, or architecture migrations, can happen at any company. ## Submit Your Work!

DevOps 40
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Microsoft Engineering loves SQLBits

SQL Server According to Bob

When I started to write this post I thought I knew who all was presenting but then I had to go back over the session lineup to see for myself. Best practices on Building a Big Data Analytics Solution – Michael Rys. If you want to learn about Azure Data Lake, there is no one better. Shamless blost post author plug.