When you’re operating databases at scale, being able to get real-time insights across all your databases is essential for addressing issues and identifying areas for optimization. Datadog Database Monitoring’s Database List allows you to monitor your entire database fleet in one place, so you can quickly identify and troubleshoot overloaded hosts and gauge the impact of problematic queries throughout your infrastructure.

We couldn’t be happier and are proud to announce the final release of Icinga DB today. After many years of development and one or the other setback on the way to the release, we are proud to finally hand you the final version of Icinga DB for your monitoring environment.

Industry-leading time series platform recognized for ease of setup and user satisfaction SAN FRANCISCO, June 30, 2022 – InfluxData, creator of the leading time series platform InfluxDB, today announced it has been named a leader in the G2 Grid for Time Series Databases, as well a leader within the inaugural Momentum Grid® Report for Time Series Databases in the Summer 2022 ratings from G2, the world’s leading business solution review platform.

Morph is a new database migration tool designed to improve Mattermost schema migrations. It can be used programmatically with a library and from a CLI. Morph stores the schema version in a table, where all applied migrations are persisted. It’s a flexible open source library that can be used with a driver interface implementation and a source to read migration scripts from. The engine uses a dependency injection pattern so that any implementation can be used with the library.

Database security includes a variety of measures used to secure database management systems from vicious cyber-attacks and illegitimate use. Database security programs are designed to protect not only the data within the database but also the data management system itself, and every application that accesses it, from destruction, mishandling, and unauthorized access.

Even though NoSQL databases like Amazon’s own DynamoDB are very popular today, for many business use cases, there’s almost no way around using a traditional relational database. Amazon Relational Database Service (RDS), released back in October 2009, is one of Amazon’s first cloud services and can therefore be seen as a very mature service.

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.

We've simultaneously launched 4 new integrations for Node.js: Redis, ioredis, MySQL, and MySQL2. This means that you can now see all the details of a query in the Event Timeline and Slow Query screens in AppSignal. Because we are a small and bootstrapped team, we've chosen to embrace OpenTelemetry as a means of expanding AppSignal's offering in the Node.js ecosystem.