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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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Autonomous Cloud Enablement aka Scaling NoOps via Self-Service

Dynatrace

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. DevOps Transformation at Dynatrace enacted live on stage at Perform 2017!

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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?” into every conversation.

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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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Watchman: monitoring dependency conflicts for Python library ecosystem

The Morning Paper

The authors backtested Watchman by replaying the evolution history of all libraries on PyPI from the 1st January 2017 to the 30th June 2019. The installed version of a dependency is fixed by an edge that does not specify an upper bound, and the chosen version is close to the upper bound of other incoming edges for the same node.

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SQL Server on IoT Edge and Developer Machines – Smaller Footprint

SQL Server According to Bob

The reduction effort started when we shipped SQL Server 2017 ( [link].) SQL Server 2017. SQL Server 2017 uses function address comparisons which the enablement of COMDAT would break. Bob Dorr – Principal Software Engineer SQL Server. . SQL Server 2019. OPTIONAL HEADER VALUES. 20B magic # (PE32+).

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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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