My co-founder, Vijay and I are excited to open up Oodle for everyone.
We used to be observability geeks at Rubrik. Our metrics bills grew like 20x over 4 years. We tried to control spend by getting better visibility, blocking high cardinality labels like pod_id, cluster_id, and customer_id. But that made debugging issues complicated. App engineers hated blocking metrics, and blocking others' code reviews was not fun for platform engineers either! Migrations (and lock-ins) were very painful, the first migration from Influx to Signalfx took 6+ months and the second migration from Splunk took over a year.
Oodle is taking a new approach to building a cost-efficient serverless metrics observability platform. It delivers fast performance at high scale. We leverage custom storage format on S3, tuned for metrics data. Queries are serverless. The hard part is how to achieve fast performance while optimizing for costs (every cpu cycle, storage/memory byte counts!). We've written about the architecture in more detail on our blog: https://blog.oodle.ai/building-a-high-performance-low-cost-m...
Try out our playground with 13M+ active time series/hr & 13B+ samples/day: https://play.oodle.ai
Explore all features with live data via Quick Signup: https://us1.oodle.ai/signup - Instant exploration (We’d love your feedback!
cheers
Show HN: Oodle – serverless, fully-managed, drop-in replacement for Prometheus
blog.oodle.ai