The importance of timely and accurate IT insights is increasing rapidly in the modern era. Organizations often desire a customizable solution to meet the specific needs of their business best and increasingly want to mix data from multiple sources and match data to sales, HR, asset management and other sources in order to better understand root causes and drive better decision-making. To do so, they need a solution that is able to be flexibly tailored for all use cases.

Since the start of the pandemic, business demands on your IT team have skyrocketed. You need granular, actionable insights to keep up with the speed and volume of digital transformation projects and IT incidents occurring across your organization. Canned reports from SaaS-based systems like ServiceNow aren’t fundamentally built for analytics.

One of our API-first brethren in San Francisco recently shared with us how they built their synthetic testing system to monitor uptime and latency. It was a large undertaking involving a huge Redshift warehouse, Datadog and many man months of engineering effort. At the end of it, they could measure latency’s completeness, whether it was functionally correct and, when it moved out of bounds, alert CSM/engineering teams.