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.

Redis is a popular open-source, in-memory data store used across industries by a variety of companies, including Github, Stack Overflow, Twitter and Netdata! Redis supports multiple use-cases including.

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.

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.

Share: VictoriaMetrics is a monitoring solution. It was designed to collect and process telemetry from many systems, provide a retrospective view, and forecast metrics for capacity planning. But what about monitoring VictoriaMetrics itself? There is one of the software development approaches called Observability Driven Development (ODD). In a nutshell, it means that developers should always keep in mind that software needs to be transparent to the person who uses it. Does your software make backups?

Databases are often the biggest bottleneck when it comes to application performance. Over the years a number of new database designs have emerged to help with not only basic scalability and performance but also to help improve developer productivity and make building certain types of applications easier. That isn’t to say these new databases are magical — there are always trade-offs being made and certain things are sacrificed for gains in other areas.