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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

This blog was originally published in August 2018 and was updated in May 2023. It has default settings for all of the database parameters. It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. What is PostgreSQL performance tuning?

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SQL Server On Linux: Forced Unit Access (Fua) Internals

SQL Server According to Bob

Durability: “In database systems , durability is the ACID property which guarantees transactions that have committed will survive permanently. Microsoft SQL Server Database Engine Input/Output Requirements. Device level flushing may have an impact on your I/O caching, read ahead or other behaviors of the storage system.

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

Dynatrace

The data is incredibly plentiful and difficult to store over long periods due to capacity limitations — a reason why private and public cloud storage services have been a boon to DevOps teams. This occurs once data is safely stored within a local cache. Then, Google made the OpenCensus project open source in 2018.

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How to improve Redo, Transaction Log and WAL throughput for HammerDB benchmarks

HammerDB

If you are new to running Oracle, SQL Server, MySQL and PostgreSQL TPC-C workloads with HammerDB and have needed to investigate I/O performance the chances are that you have experienced waits on writing to the Redo, Transaction Log or WAL depending on the database you are testing. Oracle Log File Sync.

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Tuning Autovacuum in PostgreSQL and Autovacuum Internals

Percona

The performance of a PostgreSQL database can be compromised by dead tuples, since they continue to occupy space and can lead to bloat. Now, though, it’s time to look at autovacuum for postgres, and the internals you to know to maintain a high performance PostgreSQL database needed by demanding applications. Is this a problem ?

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Using Parallel Query with Amazon Aurora for MySQL

Percona

now has a version which will support parallelism for SELECT queries (utilizing the read capacity of storage nodes underneath the Aurora cluster). Aurora Parallel Query response time (for queries which can not use indexes) can be 5x-10x better compared to the non-parallel fully cached operations. AWS Aurora (based on MySQL 5.6)

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Progress Delayed Is Progress Denied

Alex Russell

Chrome has missed several APIs for 3+ years: Storage Access API. After years of standards discussion and the first delivered to other platforms in 2018, iOS 14.5 April 2018 , but not usable until several releases later). An extension to Service Workers that enables browsers to present users with cached content when offline.

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