The public cloud can deliver significant business value across infrastructure cost savings, team productivity, service elasticity, and DevOps agility. Yet, up to 70% of organizations regularly overspend in the cloud, minimizing the gap between cloud costs and the revenue cloud investments can drive.

Accurate data is one of the most important aspects of any organizational function. It helps in decision-making and planning, and for most businesses, it also helps in generating revenue. The data can be anything from a list of clients and products to an inventory list. Nothing comes close to SQL timestamps regarding data accuracy, timeliness, and management. SQL Server timestamp is a critical component of relational databases, but they aren’t used on a daily basis by most database professionals.

Automatically measure MTTR, impacted infrastructure, task completion, and more with new incident analytics.

Whether operations are running smoothly or you’re running into a number of hiccups, the question to IT is always the same – “What do we even pay you for?” Rather than viewing IT as a vital piece of the puzzle, organizations often view IT as a cost center, leading to warped perceptions of the importance of IT.

This article was originally published in The New Stack and is reposted here with permission. A consequence of living in a rapidly changing society is that the state of all systems changes just as rapidly, and with that comes inconsistencies in operations. But what if you could foresee these inconsistencies? What if you could take a peek into the future? This is where time-series data can help.