We believe Observability is a basic necessity like running water. It should be simple, reliable, and affordable.

We are excited to sponsor #PromCon2024 in Berlin! Stop by our booth to learn how Oodle’s game-changing Serverless architecture delivers blazing-fast performance at 3x cost-efficiency. Thrilled to talk to the #prometheus Community and the #observability enthusiasts!

Launch Week Kickoff 🚀 We're launching Oodle Playground at #PromCon2024 tomorrow! Couldn't find a more perfect time to open up our product to the #DeveloperCommunity. Visit our booth to: 🎮Try our new Developer Playground 🕵‍Play 'Debug Detective' and win LEGOs Stay tuned!

🚀Launching Oodle Playground with 13B+ samples/day & 13M+ active timeseries/hr tinyurl.com/3fddtt36 Serverless + S3 architecture delivers blazing-fast experience at 1/3 cost. Please share your feedback on our metrics #observability playground.

🚀 Our #PromCon sponsor, @oddleai, are launching a playground with 13B+ samples/day & 13M+ active timeseries/hr. tinyurl.com/3fddtt36 The Serverless + S3 architecture delivers blazing-fast experience at 1/3 cost. Share your feedback on the metrics #observability playground.

Honored to be supporting #PromCon 2024. Catch Kiran Gollu, our CEO & Co-Founder and Tao, our Founding Staff Engineer at our booth to know more about Oodle's architecture. Experience Oodle at scale - lnkd.in/gPwAx5cZ

🚀Oodle Launch Week Day 1: Slash Managed Prometheus Costs by 70% with One-Click! Serverless+S3 architecture delivers  ✅Blazing fast performance at ✅ 1/3 the cost Know More: tinyurl.com/4mm46wur Try it yourself in our High Scale simulated playground: tinyurl.com/44kt7dwb

Launch Week Day 2: Transition from Self-Hosted Chaos to Calm in 1-Click! Scale your metrics with Oodle’s fully managed offering. It’s reliable, cost-effective and just works. Know More: tinyurl.com/4nena55w Try our High Scale simulated playground: tinyurl.com/44kt7dwb

🚀Launch Week Day 3: Enterprise Migration in Hours Unicorn Customer achieved 4x savings in <6 hours with Oodle's #Observability ✅ #Prometheus, #OTel & #Grafana compatible 🔄 Integrates with #AWS, Azure & #GCP Know More: tinyurl.com/mpf88ct2 Playground: tinyurl.com/44kt7dwb

🚀Oodle Launch Week Day 4: Take Stress out of High Cardinality Metrics Embrace High Cardinality Metrics & Reduce MTTR. Oodle makes it affordable and possible. Know More: tinyurl.com/ktru8bk9 Try it yourself in our High Scale simulated playground: tinyurl.com/44kt7dwb #o11y

We are live on HackerNews! news.ycombinator.com/item?id=416358… Oodle is a fully managed, serverless drop-in replacement for Prometheus at scale. It is 3x cheaper than managed Prometheus and 10x cheaper than other commercial vendors. All with simple 1-Click migration.

We are live on Hackernews! news.ycombinator.com/show Oodle Co-founder/CTO M Vijay Karthik wrote a fantastic blog on our game changer architecture for the metrics observability . It delivers 3-10x lower costs and reduces MTTR by 5x. Signup for free today!

Observability crisis is real - legacy tools are no longer cutting it. We are in data and Gen AI era - why are people worried of what to send, instead of just asking whatever questions they have. Observability needs to be a first class citizen from day zero.

Wave 1 Observability companies like Datadog & Splunk created a haystack problem. So what happens when the haystack grows so big that it becomes so difficult to search it? The challenge shifted from data collection to efficient storage, retrieval, and analysis. The second wave of

What a year! In 2024, we built a world-class founding team, launched our platform with 10x cost savings, spoke at PromCon & SREDay, and partnered with unicorn customers. In 2025, excited about AI-powered troubleshooting to resolve alerts radically faster shorturl.at/S4Y6o

Breaking #GoLang performance barriers to build high-scale high-performance #observability platform with p99 query latency<3sec Vijay Karthik's blog "Go Faster!" featured in CNCF KubeWeekly tackles critical Golang performance challenges. shorturl.at/2fLcX

Prometheus #OOMKilled 5th time this week! As you scale, it breaks more frequently. You end up with dedicated engineers, overprovisioned systems, and limiting metrics instead of building cool features. This blog explores and compares various strategies shorturl.at/4PFMd