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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. The following chart shows the same 1TB database testing. SQL Server 2016. or newer release.

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How It Works (It Just Runs Faster): Non-Volatile Memory SQL Server Tail Of Log Caching on NVDIMM

SQL Server According to Bob

Note: We received feedback that there was some confusion on us calling this functionality “tail of the log caching” because our documentation and prior history has referred to the tail of the log as the portion of the hardened log that has not been backed up. Create / Alter Database … LOG ON. Tail Of Log Caching.

Cache 40
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Troubleshooting Variable Memory Grants in SQL Server

SQL Performance

Reminder: Do not run ALTER DATABASE <YourDBName> SET QUERY_STORE CLEAR; against your production database unless you want to remove everything from Query Store. ALTER DATABASE [ WideWorldImporters ] SET QUERY_STORE = ON ; GO. ALTER DATABASE [ WideWorldImporters ] SET QUERY_STORE CLEAR ; GO.

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What is? OpenTelemetry??An open-source standard for logs, metrics, and traces

Dynatrace

This occurs once data is safely stored within a local cache. Cloud databases excel at storing large volumes of information for later reference, and this data often has business value or privacy restrictions. There are two principal ways to go about this: Local ingestion. Read eBook now! What happened to OpenTracing and OpenCensus?

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Expanding the Cloud – An AWS Region is coming to Hong Kong

All Things Distributed

Since then, AWS has added two more PoPs in Hong Kong, the latest in 2016. Beyond running their web properties and applications, Next Digital also uses Amazon RDS (database), Amazon ElastiCache (caching), and Amazon Redshift (data warehousing). In 2013, AWS opened an office in Hong Kong.

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Percentiles don’t work: Analyzing the distribution of response times for web services

Adrian Cockcroft

I presented this analysis of response time distributions talk in 2016 — at Microxchg in Berlin ( video ). I think that the structure of the system in terms of functionality distributed across a network of lambda functions, microservices, caches, databases and external services is going to determine the number and position of each peak.

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MariaDB vs MySQL: Key Differences and Use Cases

Percona

Before we dive into the differences between MariaDB and MySQL, we will provide a thorough examination of each relational database management system (RDBMS). While originally designed to be a drop-in replacement for MySQL, it evolved into its own distinct database management system and is now maintained and supported by the MariaDB Foundation.