Percona
JUNE 20, 2023
Percona Operator for PostgreSQL offers a powerful solution for managing and scaling PostgreSQL databases in a Kubernetes environment, making it an ideal choice for developer use cases. I will use the regular kubectl approach: $ kubectl apply --server-side -f deploy/bundle.yaml Django application would require its own user and database.
Adrian Cockcroft
JUNE 21, 2022
I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. We had specializations in hardware, operating systems, databases, graphics, etc.
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Dynatrace
JULY 18, 2023
With these tools, agency leaders can empower IT teams to understand how citizens are using digital touchpoints, the obstacles they encounter as they’re using them, and how to eliminate those points of friction, whether in the app, database, or the infrastructure that hosts them. Download white paper now! Ready to learn more?
The Netflix TechBlog
MAY 19, 2023
A cleanup process to prune stale relationships from the database. The Beginning of SpiceDB Caveats The SpiceDB community had already explored integrating SpiceDB with Open Policy Agent (OPA) and concluded it strayed too far from Zanzibar’s core promise of global horizontal scalability with strong consistency.
Percona
JULY 7, 2023
Unfortunately, using certain open source database software as part of an HA architecture can present significant challenges. This blog highlights considerations for keeping your own PostgreSQL databases highly available and healthy. The same changes made in the primary database are made in the replicas.
Percona
AUGUST 15, 2023
MySQL replication is a process in which data from a primary MySQL database is copied and sent to one or more secondary databases, known as replicas. Setting Up MySQL Replication – Step by Step: Backup Data: Before starting, create a backup of your primary database to prevent data loss during setup.
Percona
AUGUST 30, 2018
One of the common ways to classify database workloads is whether it is “read intensive” or “write intensive”. Because recognizing if the workload is read intensive or write intensive will impact your hardware choices, database configuration as well as what techniques you can apply for performance optimization and scalability.
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