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Using JSONB in PostgreSQL: How to Effectively Store & Index JSON Data in PostgreSQL

Scalegrid

Why should a relational database even care about unstructured data? JSON database in 9.2 It is useful to validate incoming JSON and store in the database. JSONB storage has some drawbacks vs. traditional columns: PostreSQL does not store column statistics for JSONB columns. JSONB Patterns & Antipatterns.

Storage 321
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Bootstrap PostgreSQL on Kubernetes

Percona

A single command to deploy the operator would be: kubectl apply -f [link] --server-side Init SQL script Init SQL allows the creation of the database cluster with some initial data in it. yaml manifest will provision demo - cluster - 2. You can find all examples from this blog post in this GitHub repository. 03-deploy-cr2.yaml

Storage 97
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pgBackRest’s Expire and Backup With Custom Lock-Path Files

Percona

PostgreSQL is a powerful and popular open source relational database management system. Ensuring the safety of your PostgreSQL data through regular backups is an important concern for database administrators. The /etc/pgbackrest/pgbackrest.conf file contains crucial information related to our primary database server.

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Observability engineering: Getting Prometheus metrics right for Kubernetes with Dynatrace and Kepler

Dynatrace

Another source reported a 43% overall increase in Prometheus adoption for the last six months of 2021. As the two first graduates of the open source project incubator, the Cloud Native Computing Foundation (CNCF), Kubernetes and Prometheus are usually deployed together. What is Prometheus?

Metrics 175
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MongoDB Database Backup: Best Practices & Expert Tips

Percona

That’s why it’s essential to implement the best practices and strategies for MongoDB database backups. Why are MongoDB database backups important? Regular database backups are essential to protect against data loss caused by system failures, human errors, natural disasters, or cyber-attacks.

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What is Google Cloud Functions?

Dynatrace

Avoid lock-in with open-source technologies. These functions can connect with supported cloud databases, such as Cloud SQL and Bigtable. Functions integrate with APIs (such as the Video Intelligence API ) to make this possible, forming a processing chain that eventually commits data to cloud storage. GCF use cases.

Google 218
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Observability platform vs. observability tools

Dynatrace

Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. A database could start executing a storage management process that consumes database server resources. Observability is made up of three key pillars: metrics, logs, and traces. Watch webinar now!