Databases are growing exponentially these days, so when it comes to real-time data observability, organizations often lose the battle if they try to centrally run analytics or any other monitoring process. Today, Edge Delta, which has built a surveillance platform from a different perspective — based on edge computing — is announcing a funding round to double its business. The startup has raised $63 million, money that it will use both to expand its integration capabilities with various services – it already supports about 50 technologies – and to expand its business as a whole.
Quiet Capital leads the round, with BAM Elevait, Early Digital East, geodetic capital, Keene Venturesstrategic patron ServiceNow and previous sponsors Menlo Ventures, Venture Capital MaCand Amity Ventures is also involved. The round follows $15 million Series A less than a year ago, in June 2021.
Edge Delta targets DevOps, Site Reliability Engineers, and Security Teams – teams that focus on analyzing logs, metrics, events, traces, and other large amounts of data, often in real time, to get their job done. Modern database architecture complicates this task as information can be distributed among containers Kubernetes, Lambda, ECS, EC2, etc. Typical analytics services are built on sending data to the cloud and analyzing it centrally, but this approach becomes untenable as volumes increase. data, especially if the goal is real-time analytics.
Edge Delta operates in a space that already has a number of significant players including Splunk, New Relic and Datadog. In fact, a former Splunk CTO spearheaded Menlo’s first investment in Edge Delta, which speaks to a different approach and acceptance by peers in the field. (But Ozan Unlu, founder and CEO of Edge Delta, told me right away that he doesn’t see his startup as a direct competitor to Splunk, which is sometimes implied: “No, we’re partnering with Splunk to get the most out of it!” – he exclaimed.)
Typically, as we pointed out earlier, surveillance services use agents that sit and work on the client’s computer, compress the data, encrypt it, and then send it to the final destination. Edge Delta has created an agent that starts to analyze locally, including allowing organizations to run machine learning modules on these nodes, getting results that are specific to that database, as well as results that typically come back faster.
“Our special sauce is in this distributed mesh network of agents,” Unlu said. “That makes us a lot more unique.”
Edge Delta provides a second layer of visibility and analysis that integrates analytics from across the system after these local graphs have been built, but the bottom line is that it believes the results are faster and more accurate, and less tiring for organizations. resources in general.
The company works with large companies that need to process large amounts of data, usually in hybrid environments, containers and clouds, in real time. Clients include Super League Gaming, AI screening startup Fama Technologies, Panasonic, WebScale, T-Mobile, VMware and others. Unlu said that using Edge Delta for surveillance could see the average time to resolve critical issues increase “from hours and days to minutes to eliminate production downtime.”
In this regard, he also touches on a very important topic that continues to grow in enterprises: the growing role of automation in solving some of the larger tasks in DevOps, site security and reliability, so that engineers have more time to focus on the parts of the work that only they can. do.
It also means that these teams can now analyze all of their data, not just a part of it, because they do it at the edge. (It’s too much to load it all in another approach.) Because it’s automated in real time, Unlu said, “We’re not forcing anyone to try to predict the future. When you distribute requests upstream, you no longer need to neglect parts of your data. It pains me to think of clients who neglect some of their data because of financial problems. [or operational] restrictions.”
This approach and its traction is still compelling enough to make investors knock.
Credit: techcrunch.com /