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When looking for a highly scalable time series database, there are a number of criteria to investigate and evaluate. First up, it’s always a good idea to consider open source software. It’s more likely to have gone through comprehensive troubleshooting, it’s typically more reliable as it has more timely and widespread peer-review, it better guarantees technology independence, it’s easier to find engineers who are familiar with it and it has great security.

FoundationDB is a distributed NoSQL database designed to support fully ACID transactions. FoundationDB uses an unbundled architecture that consists of an in-memory transaction management system, a distributed storage system, and a built-in distributed configuration system. This enables developers using FoundationDB to manage and configure each part of their database layer separately to ensure desired scalability, high-availability, and fault tolerance.

Wherever your move to a managed cloud database service starts, the big questions are pretty similar. Start figuring it out right here.

Aiven for PostgreSQL® Django is a fully-featured high-level Python web framework. Read on to see how to get it to store its data in an Aiven for PostgreSQL® database.

PostgreSQL is the most powerful and versatile SQL database available today. There is a problem that comes with this level of power and versatility. How do the developers of PostgreSQL fine-tune the default configuration for everyone? Well, they can't do it. The issue is that each database differs not only in design but also in needs. Some systems are used to store massive amounts of data that are rarely searched.

vmagent supports both the pushing and pulling (scrape) of metrics and here are examples of high availability setups for both cases.

Development teams are under increasing pressure to keep up with the demand for faster delivery of database changes, while ensuring code quality isn’t compromised. This pressure comes from both business requirements and industry expectations. The 2021 Accelerate State of Database DevOps report reveals that the number of teams who are elite performers is increasing year-on-year (making up 26% of those in the study) and these teams have more frequent code deployments and a lower change failure rate.

Like all Norse gods and Marvel villains, every open source project has a good origin story. The new episode of “Grafana’s Big Tent” podcast provides that behind-the-code look at building Grafana Mimir, the horizontally scalable, highly performant open source time series database that Grafana Labs debuted in March.