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New Metadata-Only Column Changes in SQL Server 2016

SQL Performance

When we ask SQL Server to change some aspect of a column's definition, it needs to check that the existing data is compatible with the new definition. Improvements in SQL Server 2016. The subject of this post is the additional changes that are enabled for metadata-only from SQL Server 2016 onward.

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SQL Server 2016 – It Just Runs Faster: Always On Availability Groups Turbocharged

SQL Server According to Bob

When we released Always On Availability Groups in SQL Server 2012 as a new and powerful way to achieve high availability, hardware environments included NUMA machines with low-end multi-core processors and SATA and SAN drives for storage (some SSDs). As we moved towards SQL Server 2014, the pace of hardware accelerated.

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What is container orchestration?

Dynatrace

Problems include provisioning and deployment; load balancing; securing interactions between containers; configuration and allocation of resources such as networking and storage; and deprovisioning containers that are no longer needed. How does container orchestration work?

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USENIX LISA2021 Computing Performance: On the Horizon

Brendan Gregg

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on.

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

SQL Server According to Bob

SQL Server 2016 changes the internal design to (CheckScanner), applying no lock semantics and a design similar to those used with In-Memory Optimized (Hekaton) objects, allowing DBCC operations to scale far better than previous releases. Ryan Stonecipher – Principle SQL Server Software Engineer. SQL Server.

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Cache-Control for Civilians

CSS Wizardry

This includes CDNs, proxy servers, and the like. Once the 60 seconds is up, the browser will head back to the server to revalidate the file. It means ‘do no t serve a copy from cache until you’ve revalidated it with the server and the server said you can use the cached copy’. public and private. Cache-Control: no-cache.

Cache 264
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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory.