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RDS Pricing Explained: A 2022 Beginner-Friendly Guide

The Amazon Relational Database Service (RDS) enables Amazon Web Services (AWS) customers to manage, operate, and scale their databases. A managed service, RDS provides seven database engines and multiple instance sizes and types for working with relational databases. AWS also claims RDS can match the performance, scalability, and availability of commercial databases for a tenth of the price. Is this true, and how much does Amazon RDS cost really? This guide explains how Amazon RDS pricing works.

Missing indexes in PostgreSQL? How to quickly identify it

While working on improving the Netdata PostgreSQL collector, we were monitoring our production PostgreSQL instance and something caught our attention immediately. The rows fetched ratio seemed really, really low for one particular database… there were missing indexes in PostgreSQL! Rows fetched ratio is the percentage of rows that contain data needed to execute the query (rows fetched), out of the total number of rows scanned (rows returned).

How to monitor Oracle DB with Google Cloud Platform

Monitor Oracle DB in Google Cloud Platform with the Google Ops Agent. The Ops Agent is available on GitHub, and makes it easy to collect and ship telemetry from dozens of sources directly to your Google Cloud Platform. You can check it out here! Below are steps to get up and running quickly with observIQ’s Google Cloud Platform integrations, and monitor metrics and logs from Oracle DB in your Google Cloud Platform.
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Fixing Slow Databases: Improving App Performance Overnight

There's no denying database applications have come a long way over the past few years. Despite all the improvements, however, they're still far from perfect-sometimes, they even feel painfully slow. A seemingly quick and easy task can end up taking hours for no good reason. The result? Angry users, suspicious managers, and a generally unhappy team.

10+ Best MongoDB Monitoring Tools and Services [2022 Comparison]

MongoDB is a cross-platform NoSQL database that uses JSON-like documents with optional schema to store data. It was designed for high availability, high performance for high-data persistance use cases, and automatic scaling. Of course, all with the right infrastructure in mind. It is usually a good choice for document-oriented use cases when you need quick prototyping or massive scale. With the massive scale comes massive traffic, though.

The benefits of running Microsoft SQL Server on Ubuntu Pro

Since November 2021, Canonical and Microsoft have been offering a jointly supported Microsoft SQL Server on Ubuntu Pro solution. With this offering, you can set up an optimised configuration of SQL Server on Ubuntu in a few steps. As database professionals, we should ensure the highest possible standards for database security and availability. In this blog, we will detail how the combination of SQL Server and Ubuntu Pro can help you achieve those goals.

Inside the migration from Consul to memberlist at Grafana Labs

At Grafana Labs we run a lot of distributed databases. These distributed databases all make use of a hash ring in order to evenly distribute workloads across replicas of certain components. For a more detailed description of the architecture of our projects, check out our Mimir architecture docs.