Operations | Monitoring | ITSM | DevOps | Cloud

Organizations of all sizes invest in IT monitoring and analysis tools. But just because a computer knows what’s wrong doesn’t mean it can communicate those details effectively to IT teams. There is both art and science behind communication, which is why IT teams heavily rely upon data visualization. As organizations scale, so too does the importance of data visualization. Similarly, automating data analysis becomes increasingly useful with scale.

In software development, processing and storing data in different states reflects the business rules an application is built on. The heart and soul of any software application is the data that is persisted in databases for retrieval and further processing. The database system (SQL or Non-SQL) chosen for an application must serve the required data processing and storage needs of the application.

The best business decisions are backed by data. Companies that constantly collect, analyze, and proficiently store this are more likely to succeed in the long run. An organization's database can be a direct source of revenue. Not only in the sense that data can be sold, but the insights produced can help the business too. Data about customer habits, market trends, etc., can enable a company to optimize its practices and find the most effective way to conduct tasks.

NiCE DB2 smart Management Pack 4.32 The NiCE DB2 smart Management Pack enables advanced health and performance diagnostics for DB2 databases using the Micro Focus Operations Bridge Manager. Leverage your existing investment, reduce costs, save time, and build efficiencies that will last beyond your expectations. Get the new NiCE smart DB2 Management Pack 4.32 and start advanced Db2 monitoring now. We are looking forward to smartening up your enterprise application monitoring.

In this blog article, you will discover how to setup a complete monitoring of your PostgreSQL server with Bleemeo. Agent setup and dashboards creation will be covered.

At Redgate, we strongly believe that all databases should be managed and orchestrated in the same way, with the same standards of security and quality in releases. For the past few years, we’ve been leading the adoption of database DevOps by focusing on the most challenging parts of the process like version control, continuous integration and making deployments consistent, predictable and repeatable.

There’s a big difference between the MySQL database powering your internet of things (IoT) lightbulb and the one powering your website. There’s a chasm between the SQL Server Express database in your lightly used application’s VM and the monster multi-region SQL cluster you have running on Microsoft Azure. This kind of database diversity is everywhere today. But what are the differences between these databases, and how can administrators justify database spend?

You’ve solved database performance monitoring and documentation. Unfortunately, now you get lost between them.

Mergers and acquisitions are going on all over the market at the moment … and de-mergers as well, actually. Typically in a merger or acquisition, there’s some knowledge that it’s going to happen in advance. But until the Heads of Terms have been signed and there’s a Transition Service Agreement in place, people don’t really get moving with the activity needed to support the move, particularly on the technology side.