Operations | Monitoring | ITSM | DevOps | Cloud

I recently had a cloud migration client who was at the beginning stage of their discovery phase and looking to jump straight to “which database platforms should I be using in the cloud?” - a tall ask you might say, but following the three steps below they were able to discover and analyze all of their database servers in just two weeks.

When applications suffer performance degradation often the root cause of the issue is a database problem. In this guide we’ll show you 7 ways to troubleshoot your Azure SQL database performance issues using metrics and insights from the eG Enterprise monitoring solution.

PostgreSQL is an open-source relational database that is highly flexible and reliable and offers a varied set of features. Even though it is a complex database, it provides great integrity and performance. Also, you can deploy it on multiple platforms, including a light version for websites and smartphones. Because you can deploy Postgres in different ways, it comes out of the box with only some basic performance tuning based on the environment you’re deploying on.

SQL Server Monitoring has become an essential part of modern-day applications since a major chunk of these applications rely heavily on a database. It is therefore important to monitor your metrics and make the best out of your database services. SQL Server Monitoring offers plenty of metrics to choose from. We will be breaking down the five key categories that an SQL server provides for a comprehensive view of their functionality.

In the analytics domain, fast and reliable storage is an important aspect for businesses to handle a large amount of data. There are different types of data storage including RDBMS, NoSQL, data lake, data warehouse, and graph database. Among these, the most widely used is RDBMS that powers various systems and applications of companies of all sizes. RDBMS is easy to use and straightforward to understand thanks to its table-based (or column-based) data format.