Databases are growing at an exponential rate these days, and so when it comes to real-time data observability, organizations often struggle with a loser if they try to run analytics or any observability process in a centralized way. Today, a company called Edge Delta that has developed an observability platform from a different perspective-based on edge computing-is announcing a round of funding to double its business. The startup raised $ 63 million, money it will both use to expand how it integrates with various services – it already supports about 50 technologies – and to expand its business overall.
Leading the round was Quiet Capital, along with BAM Elevate, Earlybird Digital East, Geodesic Capital, Kin Venturesstrategic advocate Service Today and earlier advocates Menlo Ventures, MaC Venture Capitalat Amity Ventures is also participating. The rotation follows from a $ 15 million Series A less than a year ago, in June of 2021.
Edge Delta aims its DevOps tools, site -trusted engineers and security teams – groups that focus on analyzing logs, metrics, events, traces and other large data troves, often in real time, to do their job. This is complicated by the modern architecture of databases, with information possibly distributed across Kubernetes, Lambda, ECS and EC2 containers and more. Common analytics services are built around sending data to the cloud and analyzing it in a centralized way, but this has become an unreliable approach as data troves get larger, especially if the goal is for real -time analytics.
Edge Delta works in a space that already has many important players, including the likes of Splunk, New Relic and Datadog. In fact, the ex-CTO of Splunk led Menlo’s first investment in Edge Delta, with something to say about the different approach and its acceptance among space colleagues. (But Ozan Unlu, the founder and CEO of Edge Delta, was quick to tell me that he doesn’t see his startup as a direct competitor of Splunk, something that is sometimes implied: “No, we’re partnering with Splunk to it’s worth it! “he exclaimed.)
Typically, as we have pointed out before, observability services use agents sitting and running on a customer’s machine, compressing data, encrypting it and then sending it to its final destination. . Edge Delta has developed an agent that starts testing at the local level, including allowing organizations to run machine learning modules on those nodes, which also produces results specific to that database but also results that are usually returned faster.
“Our special sauce is in this distributed mesh network of agents,” Unlu said. “It makes us more unique.”
Edge Delta provides a second layer of observability and analysis that aggregates analytics from a system after those local graphs are generated, but the main point is that it believes results are faster and more accurate, and less difficult for organizations. resources in general.
The company works with large companies that need to manage large amounts of data, typically in hybrid environments in containers and the cloud, in real time. Customers include Super League Gaming, AI-based screening startup Fama Technologies, Panasonic, WebScale, T-Mobile, VMware, and more. Unlu said using Edge Delta for observation could result in temporary time for resolving critical issues that jumps “from hours and days to minutes to resolve a production loss.”
In that regard, it also touches on a very important theme that continues to grow in the business: the rising role of automation in handling some of the larger DevOps tasks, security and site reliability so that engineers have more time to focus on the parts of the jobs they just can do.
It also means that these teams can now review all of their data instead of just parts of it, because they do it in the end. (Using the other approach, there is just too much to upload all of it.) Because it’s automated in real time, Unlu says, “we don’t force anyone to try to predict the future. When you share queries upstream, you will no longer be forced to ignore parts of your data. It hurts me to think about customers neglecting some part of their data because of finances [or operational] limitations. ”
That approach and its traction so far is compelling enough that investors are knocking.
“Edge Delta elegantly streamlines the capabilities of companies to use their growing avalanche of data in any form. By providing full data visibility faster and with deeper insights, Edge Delta becomes key to unlocking a world of new functionality across security, DevOps, and SRE, ”said Morgan Livermore, a partner at Quiet Capital, in a statement.