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SQL 2016 – It Just Runs Faster Announcement

SQL Server According to Bob

In the Sep 2014 the SQL Server CSS and Development teams performed a deep dive focused on scalability and performance when running on current and new hardware configurations. “SQL Server 2016 running on the same hardware as SQL Server 2014, 2012, 2008, 2008 R2 or 2005 uses fewer resources and executes a wide range of workloads faster.

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Trade-offs under pressure: heuristics and observations of teams resolving internet service outages (Part 1)

The Morning Paper

In the next post we’ll look at the detailed analysis of how a team at Etsy handled a particular incident on December 4th 2014, to see what we can learn from it. In summary, software engineers find themselves in a very unenviable position when attempting to resolve an outage with their service. Why is this even a thing?

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SQL 2016 – It Just Runs Faster: DBCC Scales 7x Better

SQL Server According to Bob

Ryan Stonecipher – Principle SQL Server Software Engineer. Bob Dorr – Principal SQL Server Escalation Engineer. Use SQL Server Management Studio (SSMS) or your favorite query editor to connect to a SQL Server 2012 or 2014 instance. SQL Server 2014. DEMO – It Just Runs: DBCC CheckDB. SQL Server.

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How It Works: SQL Server 2016 SSE/AVX Support

SQL Server According to Bob

Version of SQL Server 2012, 2014, and 2016 using the Crypto* APIs take advantage of the hardware implementations through the API support. Bob Dorr – Principal Software Engineer SQL Server. Windows 2012 R2 and newer releases have been enlightened the Crypto* APIs. Reference APIs such as: CryptDecrypt.

Servers 40
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Does SQL Server 2016 Require Trace Flag -T8048?

SQL Server According to Bob

Keep in mind that the vast majority of CMemThread objects (SQL 2005, 2008, 2008 R2, 2012, 2014, Azure DB and 2016) are not partitioned. Bob Dorr – Principal Software Engineer SQL Server. The three types of CMemThread partitioning and associated details are described in my previous post: [link].

Servers 40
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Apple Is Not Defending Browser Engine Choice

Alex Russell

Browser vendors fund their industrial-scale software engineering projects through integrations. Search engines pay browser makers for default placement within their products. Despite being largely open source, browsers and their engines are not loss leaders. Safari, in particular, is wildly profitable.

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PlanAlyzer: assessing threats to the validity of online experiments

The Morning Paper

” The paper ‘ Designing and deploying online field experiments ’ (Bakshy 2014) describes the language and its usage at Facebook (one for The Morning Paper backlog?). PlanOut itself has been ported many programming languages at this point.