Oodle AI的动态

?? What an Incredible Journey 2024 Has Been for Oodle AI! Check out our Year in Review blog post by Calvin Chan: ?? https://lnkd.in/g_nD8eRt We started off with a bold hypothesis: the shift to cloud and AI workloads brings new world of observability challenges—especially around cost and complexity. Addressing these required a fundamentally new cloud-native architecture for metrics and logs. So, we built a new time series database from ground up on top of object storage! ?? 2024 Highlights: ?? Team & Innovation This year, we grew from a 4-person founding team to a 12-member powerhouse tackling observability challenges head-on. The team has built and launched world-class products like Rubrik, Amazon S3, DynamoDB, SignalFx, and Snowflake.? We launched a radically different observability platform with three core principles: ? Blazing-fast debugging – AI-powered, dashboard-less troubleshooting helps engineering and DevOps teams resolve incidents 5x faster ? 10x cost efficiency – Serverless + S3 architecture slashes costs ? Seamless simplicity – A true drop-in replacement for Prometheus & ELK Stack with 1-click migration ?? Community & Thought Leadership Oodle made waves at DevOpsDays, KubeCon NA & India, and PromCon Berlin, with 500+ meaningful conversations. We gave talks at PromCon Berlin and SREDay SF, and our insights on Go optimization & profiling were featured in SRE Weekly and KubeWeekly. ?? Customer Momentum We turned early design partners like CureFit (health tech unicorn, 4K+ employees) and Fello into paying customers. Today, 300+ engineers rely on Oodle, processing 45M+ unique time series/day and 150B data points/day. Massive thanks to our early customers for believing in us! ?? Looking Ahead to 2025 We’re doubling down on AI-powered troubleshooting to help engineering and DevOps teams resolve incidents radically faster. Grateful to our amazing team, partners, and community for being part of this journey! Exciting times ahead! ?? #Observability #CloudNative #Startup #TechInnovation #Engineering #DevOps