Operations | Monitoring | ITSM | DevOps | Cloud

In the era of technology defined by cloud computing, features evolve at the blinding speed of continuous deployment. When large software development organizations like Microsoft deliver semi-annual releases of products, like SQL Server, the volume of new features can be so large they can be hard to grasp. Microsoft continues to push the boundaries on what’s possible, both in on-premises and cloud data platforms, and they aim to make the life of data professionals much more manageable.

DevOps has been bridging the gap between the development and operations teams for more than a decade. It is eliminating the organizational barriers between the two and automates the delivery process. It's time to start treating databases the same way we treat the delivery pipeline when applying DevOps. When we have a large database, automation is crucial. When the database has too much information, changing a table can take ages and block further changes like inserts, updates, or deletes.

We are constantly working on contributing monitoring support for various sources, the latest in that line is support for Cassandra monitoring using the OpenTelemetry collector. If you are as excited as we are, take a look at the details of this support in OpenTelemetry’s repo. The best part is that this receiver works with any OpenTelemetry collector: including the OpenTelemetry Collector and observIQ’s distribution of the collector.

At incident.io we use gorm.io as the ORM library for our Postgres database, it’s a really powerful tool and one I’m very glad for after years of working with hand-rolled SQL in Go & Postgres apps. You may have seen from our other blog posts that we’re heavily invested in tracing, specifically with Google Cloud Tracing via OpenCensus libraries.

PostgreSQL is an open-source relational database management system that’s been utilized in continuous development and production for 30 years now. Nearly all the big tech companies use PostgreSQL, as it is one of the most reliable, battle-tested relational database systems today. PostgreSQL is a critical point in your infrastructure, as it stores all of your data. This makes visibility mandatory, which in turn means you have to understand how logging works in PostgreSQL.

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.