Operations | Monitoring | ITSM | DevOps | Cloud

Open-source software (OSS) relational database management systems (RDBMSes) are becoming incredibly popular in the cloud computing world. In this article, I’ll discuss one of the most popular OSS relational databases, PostgreSQL, and the options you have for this database in the Microsoft Azure cloud. It’s worth noting these products are large with many detailed aspects, so consider this article a cursory, high-level overview of each offering.

Open-source software (OSS) relational database management systems (RDBMSes) are becoming incredibly popular in the cloud computing world. In this article, I’ll discuss one of the most popular OSS relational databases, PostgreSQL, and the options you have for this database in the Microsoft Azure cloud. It’s worth noting these products are large with many detailed aspects, so consider this article a cursory, high-level overview of each offering.

As I navigate further into my career, I’m finding the scope of my role has shifted over the years. I thought I’d take some time to help relay the differences I’ve seen between traditional database administrators (DBAs), database reliability engineers (DBREs), and site reliability engineers (SREs). Before I start, I want to get a disclaimer out of the way: some of the comparisons here reflect only what I’ve seen and may not match what you’ve experienced.

PostgreSQL extensions provide great functionality for users, but they are difficult to provide securely. Aiven has an open source solution to this problem!

Today’s blog post will give an insight into one of the many things that improved with Icinga DB: how host and service history is written to the database, both by the old IDO feature, as well as what has changed with Icinga DB and how this leads to more reliable results.

One of my favorite consulting questions to ask when dealing with a scalability problem is, “If you could change the system design with the knowledge you have today, what would/wouldn’t you change and why?” Sometimes it’s best to ask this question on a one-on-one basis with different developers, DBAs, report writers, and architects to get honest answers that aren’t intimidated by the other people sitting in a meeting or to avoid potential debating and arguing over a solution.

The demand for cloud services is rising. Databases have been popular tools for a long time. However, the landscape is changing, with cloud databases becoming increasingly popular.

MongoDB is one of the most popular NoSQL databases in the world, used by millions of developers to store application metrics from e-commerce transactions to user logins. The MongoDB Enterprise plugin for Grafana — which is available for users with a Grafana Cloud account or with a Grafana Enterprise license — unlocks all of the data stored in MongoDB as well as diagnostic metrics for monitoring MongoDB itself for visualization, exploration, and alerting.

The enterprise data warehouse (EDW) provides access to business data stored in a denormalized structure called a star schema, which makes it easy to analyze, visualize, and forecast essential business metrics. Business intelligence (BI) reporting makes use of the data warehouse for real-time self-service dashboards, custom visualizations, data marts, decision-making reports, and machine learning (ML).