In this fourth session in our DevOps 101 series, we’re going to delve into Database DevOps specifically. But before we get going, I just want to do a quick check to make sure we’re all on the same page. Donovan Brown’s definition of DevOps seems to have been adopted by almost everyone nowadays because it’s very clear: “DevOps is the union of people, process, and products to enable continuous delivery of value to our end users”.

Datadog Database Monitoring (DBM) provides comprehensive visibility into SQL queries running on your databases. Using DBM, you can troubleshoot database performance issues by drilling into frequently used queries and analyzing historical trends in your queries’ metrics and execution plans. Whether you operate self-hosted SQL Server instances or leverage Azure’s fully managed services, DBM can provide deep visibility into the databases your application depends on.

The excitement around GrafanaCONline 2022 continues to soar after another day filled with demos of new features and functionalities in Grafana 9, Grafana Mimir, and Grafana Tempo. Plus we learned how a mini arcade turned into a Grafana display; how Grafana transformed into a health tracker, and how, yes, Grafana can run Doom.

I’ve written before about building your own monitoring systems versus buying a monitoring tool like Redgate SQL Monitor. There I talked about the time that someone tasked with managing and maintaining data gets back in their day when they purchase a monitoring solution. However, that’s not where the business focuses. The business frequently wants to know one thing and one thing only: what’s the return on this investment (ROI).

Last May, KubeCon gathered multiple tech enthusiasts, students, professionals, and companies. The event highlighted various topics and insights on how to collaborate on pushing the boundaries of cloud-native computin One of our Engineering Directors, Mykola Marzhan, shared his knowledge about databases on Kubernetes at KubeCon, during a session organised by the DoK.Community. We’ve picked out some of the key highlights from the talk below.

IT leaders, engineers, and developers must consider multiple factors when using a database. There are scores of open source and proprietary databases available, and each offers distinct value to organisations. They can be divided into two primary categories: SQL (relational database) and NoSQL (non-relational database). This article will explore the difference between SQL and NoSQL and which option is best for your use case.

In the previous blog, SQL vs NoSQL Database, we discussed the difference between two major database categories. In a nutshell, the main difference between NoSQL and SQL is that NoSQL adopts a ‘right tool for the job’ approach, whilst SQL adopts a ‘one tool for all the jobs’.

When I started at Grafana in January, I was accustomed to working with private clouds and on-prem infrastructure, so nearly everything in my role here as a senior software engineer for the Grafana Mimir customer squad was new to me. I was new to Golang, Docker, Kubernetes, gRPC, public cloud services, etc. Kubernetes has been especially challenging. In my work on Grafana Mimir and Grafana Enterprise Metrics, I experience k8s in one of two extremes.