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Databases

The latest News and Information on Databases and related technologies.

DevOps 101: The role of automation in Database DevOps

This is the fifth part in the DevOps 101 series and it’s time to talk about automation. Before we get into it, I just want to recap what DevOps is. Microsoft’s Donovan Brown sums it up nicely in a single sentence: DevOps is the union of people, process, and products to enable continuous delivery of value to our end users. The important thing to remember here is the order in which he talks: people, process, and products. That’s the way DevOps works.

Video: How to get started with MongoDB and Grafana

MongoDB is one of the most popular NoSQL databases in the world, used by millions of developers to store application metrics from e-commerce transactions to user logins. The MongoDB Enterprise plugin for Grafana — which is available for users with a Grafana Cloud account or with a Grafana Enterprise license — unlocks all of the data stored in MongoDB as well as diagnostic metrics for monitoring MongoDB itself for visualization, exploration, and alerting.

Importance of Data Warehouse Automation

The enterprise data warehouse (EDW) provides access to business data stored in a denormalized structure called a star schema, which makes it easy to analyze, visualize, and forecast essential business metrics. Business intelligence (BI) reporting makes use of the data warehouse for real-time self-service dashboards, custom visualizations, data marts, decision-making reports, and machine learning (ML).

Importance of Data Warehouse Automation

The enterprise data warehouse (EDW) provides access to business data stored in a denormalized structure called a star schema, which makes it easy to analyze, visualize, and forecast essential business metrics. Business intelligence (BI) reporting makes use of the data warehouse for real-time self-service dashboards, custom visualizations, data marts, decision-making reports, and machine learning (ML).

Icinga Camp Berlin 2022: Current State of Icinga DB by Eric Lippmann

In recent years, the number of servers, virtual machines, services, applications, etc. that our customers and users monitor with Icinga has increased significantly. For very large environments, the IDO can be a performance bottleneck. With Icinga DB we’ve rethought everything to allow users to monitor massive amounts of data and bring exclusive features that weren’t possible before.