🎉 Product Launch: Edge Delta now supports ingestion of Kubernetes metrics. Read about the update here.
The progression to modern application stacks and microservices architectures has resulted in orders of magnitude more logs, metrics, events, and traces. Like gravity, data attracts more data, making it increasingly difficult to move and process as it accumulates over time. More than ever, there is a need to be able to stream-process, filter, mask, transform, aggregate, analyze, and route that data to various data tier destinations optimized for specific usage.
Developers, DevOps, and SRE teams needs visibility into where data is being created upstream to control its size, granularity, and shape, and ultimately route it anywhere – all in a matter of clicks. Modern observability teams hold each other accountable with internal reporting and usage-based charge-back models. This clarity empowers individuals and gives organizations the power and flexibility to modularize their observability stack and eliminate vendor lock-in.
It was typical a decade ago to simply brute force a few gigabytes into an expensive and performant one-size-fits-all index to query later. It's a very different problem than the one teams experience today – quantifying the ROI of analyzing each subset of logs. Edge Delta enables teams to store and search data at any scale by utilizing everything from in-memory to low-cost object storage. This unique architecture enables lower costs, better performance, and ultimate scalability.
If you are self-sufficient, we encourage you to start for free (up to 10GB/day). We think you'll be impressed with the deepest insights you've ever had from your data in less than 5 minutes. If you'd instead like to jump on 1:1 demo with an Edge Delta Solution Architect, they're always in the mood to talk observability.