Operations | Monitoring | ITSM | DevOps | Cloud

This article explores the PostgreSQL implementation of the B-Tree (the B stands for Balanced) and hash index data structures. As PostgreSQL grows in popularity as an open-source database system for developers and as a target for migrating from Oracle workloads, understanding how PostgreSQL indexes work is extremely important for database developers and administrators. PostgreSQL has several other types of indexes, such as GIN indexes, GiST indexes, and BRIN indexes.

The SolarWinds® Papertrail™ software as a service (SaaS) Add-On in the DigitalOcean Marketplace is one of the most exciting developments to come out of the DigitalOcean and Papertrail partnership. With the Add-On, developers can seamlessly add the simple yet powerful log management Papertrail is known for to their DigitalOcean infrastructure. In an earlier post, we reviewed how the Add-On helps teams simplify their log management tasks.

The SolarWinds® Papertrail™ software as a service (SaaS) Add-On in the DigitalOcean Marketplace is one of the most exciting developments to come out of the DigitalOcean and Papertrail partnership. With the Add-On, developers can seamlessly add the simple yet powerful log management Papertrail is known for to their DigitalOcean infrastructure In an earlier post, we reviewed how the Add-On helps teams simplify their log management tasks.

“Too many cooks spoil the broth.” It’s an old saying we’ve heard many times in childhood. If we put it in today’s IT monitoring context, we could change it to “too many tools spoil the insights and efficiency.” IT teams across organizations have deployed multiple tools over the decades to monitor and track the performance of networks, databases, and applications and to ensure the smooth running of the business.

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.

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.

I’m a bit late to the game in writing about observability, but I come with a great excuse: since March, I’ve travelled the world (well, at least four out of the seven continents) to discuss this observability thing with our Partners. Later, as we were able to disclose more details, we discussed it with customers, too. A lot’s happened in the past four months.

Before the pandemic, healthcare was already experiencing staffing shortages. The patient population was getting older and needing more care. Many healthcare professionals were also heading towards retirement. Unhealthy lifestyles were spreading, and the level of education required to enter healthcare professions was rising. Demand exceeded supply.