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Data Engineers of Netflix?—?Interview with Pallavi Phadnis

The Netflix TechBlog

Interview with Pallavi Phadnis This post is part of our “ Data Engineers of Netflix ” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Pallavi Phadnis is a Senior Software Engineer at Netflix. Pallavi, what’s your journey to data engineering at Netflix?

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Sequential A/B Testing Keeps the World Streaming Netflix Part 1: Continuous Data

The Netflix TechBlog

These observations are from a particular type of A/B test that Netflix runs called a software canary or regression-driven experiment. Netflix also performs canary tests — software A/B tests between current and newer software versions. Strictly control false positive (false alarm) probabilities.

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SQL Server 2017 Improved Resource Usage On Smaller Machines

SQL Server According to Bob

The changes made in SQL Server 2017 CU4 improve resource usage on smaller machines, such as a VM or Container used for testing and development. The change I made in SQL Server 2017 CU4 was to consider RAM as another factor in the default calculation. For SQL Server 2017 CU4 the small environment threshold is 2GB.

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Autonomous Cloud Enablement aka Scaling NoOps via Self-Service

Dynatrace

Autonomous Cloud is what enables our globally distributed development teams at Dynatrace to deliver better software faster following our NoOps approach: Fully Autonomous and as a Self-Service! We first brought our DevOps story to life at Perform 2017 when our CTO & Founder Bernd Greifeneder, DevOps Lead Anita Engleder and I went on stage.

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The Show Must Go On: Securing Netflix Studios At Scale

The Netflix TechBlog

Written by Jose Fernandez , Arthur Gonigberg , Julia Knecht , and Patrick Thomas In 2017, Netflix Studios was hitting an inflection point from a period of merely rapid growth to the sort of explosive growth that throws “how do we scale?” The first was that there were too many security things that each software team needed to think about?—?things

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SQL Server Management Studio Provides–“XE Profiler”

SQL Server According to Bob

Here is an example using the SQL Server SSMS 2017 against my SQL 2016 server. Bob Dorr – Principal Software Engineer SQL Server. The templates capture common events and leverage XEvent enhanced view capabilities to display the event data.

Servers 40
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SQL Server Linux: Distributed transactions requiring the Microsoft Distributed Transaction Coordinator service are not supported on SQL Server running on Linux. SQL Server to SQL Server distributed transactions are supported. – CLARIFIED!!!

SQL Server According to Bob

Current limitation: Engaging in a distributed transaction with SQL Server 2017 on Linux. SQL Server 2017 on Linux does not have distributed transaction support. However, SQL Server 2017 on Windows provides distributed transaction support allowing interactions with SQL Server 2019 on Linux. Try out this example.

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