Oodle AI

Have you run into scaling challenges with your Prometheus setup? #Prometheus is the backbone of modern monitoring, but as infrastructure scales, so do the challenges. From handling high cardinality metrics to optimizing storage and query performance, scaling Prometheus requires careful evaluation of multiple approaches. In our latest blog on “Scaling Prometheus to new heights from single node to enterprise-grade observability”, Gaurav Maheshwari breaks down: ? The key challenges of scaling Prometheus ? Comparative assessment of scaling architectures including Federation, Thanos, Cortex/Mimir, and Victoria Metrics and their trade-offs ? Practical insights to help #DevOps teams make the right choice If you’re navigating Prometheus scaling issues, this one’s for you! Read the full post here: https://lnkd.in/gpaPhrid Would love to hear—what strategies have worked best for you in scaling Prometheus? Drop your thoughts below! #DevOps #Prometheus #Observability #Scaling #SRE #CloudNative

Excited to sponsor DevOpsDays Chicago, 2025. Looking forward to meeting the #DevOps community at our first DevOps Days of 2025. Kiran Gollu, Sujeet Gholap & Sai Prameela Konduru will be there to present Oodle’s: - Dashboard-less debugging that makes issue resolution 5x faster - Novel architecture & custom datastore that makes #observability 10x cheaper. #sre #conferences

Users unlocking new use cases is the most exciting feeling for any startup. I was elated to see OpenLIT's integration with Oodle for LLM Observability. If you are someone tinkering with #LLMs and #AgenticAI applications, do check out OpenLit. They are open source, have about ~1300 stars on GitHub and recently launched on Product Hunt.? https://openlit.io/

Pleasantly surprised to see OpenLIT leverage Oodle AI for LLM Observability. OpenLit seamlessly integrated with Oodle's native OpenTelemetry ingestion, enabling: - Analytics dashboards for monitoring AI application performance - Cost tracking for custom and fine-tuned models - Prompt management and version control - Exception monitoring for quick issue detection and resolution - LLM experimentation capabilities to compare models side-by-side If you are tinkering with #LLMs and #AgenticAI applications, check out OpenLIT. They are open source, have over 1300 stars on GitHub, and recently launched on Product Hunt. You can start using Oodle AI for LLM observability today with our free self-serve account. We absolutely love how users are innovating with Oodle. https://lnkd.in/gRZc2awJ #LLMobservability #observability

Shoutout to Gaurav Maheshwari for presenting how Oodle is using AI to make Alert Management simpler & Incident Resolution faster. Oodle's AI Insights answer the two most important questions during every incident - "Who is impacted?" & "What caused the incident?". Not just that, natural language alert creation along with consolidation makes alert management a breeze. Thank you AI Tinkerers Bengaluru for creating a great community. #observability #devops #AI #sre #alertnoise

All the #Golang enthusiasts & skeptics... here are 3 blog posts you might find interesting. At Oodle, we use Go for everything from application development to infrastructure management. Here’s the blog explaining how we made it our Swiss Army knife. https://lnkd.in/ega5mT4m Using Golang did come with some performance challenges(initially). Our “Go Faster” blog talks about how we optimized for performance and scale. https://lnkd.in/g8rF5Wnw Our blog on profiling tools helps uncover code bottlenecks and optimize your application. https://lnkd.in/eikQbXX4 Shoutout to our authors Akhilesh Krishnan & Gaurav Maheshwari for getting featured in SRE Weekly. #observability #devops #sre #startups

At Oodle, we understand that an application might go down but its observability cannot. Observability must be more resilient than the system it monitors. Availability & Security have been our top priorities since Day 1. Achieving SOC2, GDPR and ISO 27001 compliance further strengthened Oodle's enterprise-ready security posture. We commit 99.9% availability for our customers (internally we strive for 99.95% and above). Explore our Trust Center to learn more about how we protect your data and uphold the highest standards of security and privacy for our customers. https://oodle.safebase.us #observability #devops #sre #compliance #privacy #security #reliability #availability

Excited to announce Kiran Gollu's talk at Scale 22x 2025 conference (Southern California Linux Expo). With explosive growth of data and micro services, Observability has become expensive, complicated, and slow. This talk explores why it's expensive and has become hard to debug issues quickly. It covers: - Legacy and state of the art alternative approaches - Why it is complicated to handle cost, and performance - Pros and cons of various previous attempts - Why it is possible to solve the problem now - Innovations and learnings we can borrow from other fields like data warehousing and data streaming https://lnkd.in/gkYx8k8Q #observability #devops #sre

?? 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

Vijay Karthik and I are excited to share launch Oodle AI for all engineering and DevOps teams. Oodle is the fastest, most cost-efficient observability platform. In this blog, we share our founding journey - why we started Oodle, why it's radically different, the problems we’re solving for our customers, and how our passion for simplicity and innovation drives everything we do. #observability #simple #fast #costefficient #serverless #dashboardless #founders