From each Landing Page, users can pull up Universe Maps that show how various data is related, providing cross-referencing capability. Users can get a quick update on the status of applications from centralized dashboards, called Landing Pages, from which they can drill down to explore root causes of problems. The offering, which runs within the Snowflake cloud, collects traces, logs, and metrics data from various monitored applications into a platform where they can be centrally monitored and any problems explored. Observe develops a SaaS-based platform that’s one part application performance management (APM) tool and one part log analytics and monitoring. Here are five observability startups that have completed VC funding in the past month: Observe Venture capitalists have also spotted the market opportunity that data observability represents. Data observability gives data engineers a powerful tool in their toolbox to wield against their sworn enemy: bad data. The data engineers have the under-appreciated task of making sure the data is fit for the purpose their downstream colleagues have in mind.īy borrowing concepts from DevOps, the nascent data observability movement empowers data engineers to detect – and possibly fix – problems with data before it reaches downstream users like data analysts and data scientist. While data analysts and data scientists get the glory when their analytics and machine learning projects succeed, it’s often the result of data engineers working behind the scenes. It certainly has the attention of venture capitalists, who have committed hundreds of millions of dollars to data observability startups in recent weeks.

Observability continues to be one of the biggest tech trends in big data.

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