Edge Delta, which analyses data using distributed stream processing and federated machine learning, announced a $15-million Series A round led by Menlo Ventures and Tim Tully, the former CTO of Splunk. Previous investors, MaC Venture Capital and Amity Ventures, are participating as well.
Tasked with the health of mission-critical systems, DevOps, Security and SRE teams rely on the ability to analyse data quickly and efficiently. With data expanding exponentially, corporations face increasingly significant challenges to keep up with the volume of data analysis — resulting costs have become exorbitant, and bottlenecks frequent. The traditional, centralised cloud model can no longer be relied upon due to inherent technical and financial limitations.
Edge Delta is changing the way that data is analysed. Rather than pushing everything to the cloud and then beginning to analyse data, Edge Delta starts the analysis where it’s created — ie, K8s containers, AWS EC2, Azure Functions, physical machines, and network devices.
Also Read: How NLP Powers Conversational AI Through Intent Analysis
This “on-the-edge” stream processing allows corporations to analyze machine data output such as logs, metrics, events, traces, telemetry at the source, resulting in a more sophisticated and deeper real-time analysis. Edge Delta typically results in an almost 90-per cent improvement in TCO compared to traditional centralised monitoring solutions.
“Five years ago, data volumes were smaller, and it was no problem to simply forward all observability data to the cloud, index it, and then analyse it,” said Ozan Unlu, founder and CEO of Edge Delta. “But in that short time, gigabytes have turned into terabytes, and terabytes are turning into petabytes. The centralized cloud model can’t handle it in real-time without massive trade-offs, the traditional system is archaic.”
“Edge Delta allows enterprises to analyze all of their data without worrying about overages or crushing costs,” said Fatih Yildiz, co-founder and CTO. “Suddenly, teams get complete visibility of all of their data. It is transformative.”
