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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

Out of the box, the default PostgreSQL configuration is not tuned for any particular workload. 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? Why is PostgreSQL performance tuning important?

Tuning 52
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MySQL Performance Tuning 101: Key Tips to Improve MySQL Database Performance

Percona

While there is no magic bullet for MySQL performance tuning, there are a few areas that can be focused on upfront that can dramatically improve the performance of your MySQL installation. What are the Benefits of MySQL Performance Tuning? A finely tuned database processes queries more efficiently, leading to swifter results.

Tuning 52
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10 tips for migrating from monolith to microservices

Dynatrace

Because monolithic applications combine database, client-side interfaces, and server-side application elements in a single executable, they’re difficult to understand, even for their own administrators. Use SLAs, SLOs, and SLIs as performance benchmarks for newly migrated microservices.

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Is MongoDB Open Source? Is Planet Earth Flat?

Percona

Whereas many open source software offerings — like the community version of MySQL — use the GNU General Public License ( GPL ), MongoDB has been under the GNU Affero General Public License ( AGPL ) and more recently under the Server Side Public License ( SSPL ), introduced by MongoDB itself.

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Is It a Read Intensive or a Write Intensive Workload?

Percona

Let’s examine the TPC-C Benchmark from this point of view, or more specifically its implementation in Sysbench. The illustrations below are taken from Percona Monitoring and Management (PMM) while running this benchmark. Analyzing read/write workload by counts. Analyzing Read/Write Workload by Response Time.

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The Ultimate Guide to MySQL Partitions

Percona

Watch this on-demand webinar from Percona to learn how! KEY partitioning KEY partitioning is similar to HASH partitioning, except that only one or more columns to be evaluated are specified, and the MySQL server provides its own hashing function. This helps identify potential issues and fine-tune the partitioning strategy.