Vijay Karthik - Oodle AI

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Vijay Karthik

Distributed systems enthusiast!

How we achieved $10/million agent spans

How we achieved $10/million agent spans

At Oodle we built a new high performance, low cost database backed by object storage for each kind of observability signal - logs, metrics and traces. The design of the database is covered in more detailed in this blog. Because we designed this database specifically for observability data, we were able

You Can't Sample Your Way to Reliable Agents

You Can't Sample Your Way to Reliable Agents

Building agents has become easy. A few lines of code and you have a working agent: from google.adk.agents.llm_agent import Agent def add(a: int, b: int) -> int: return a + b root_agent = Agent( name="simple_math_agent", model="gemini-flash-latest"

How Oodle Keeps Observability Fast at Scale

How Oodle Keeps Observability Fast at Scale

Durable Storage. Elastic Queries.

Introducing Oodle AI: The fastest, most cost-efficient observability platform

Introducing Oodle AI: The fastest, most cost-efficient observability platform

Introduction In short: Oodle AI is a serverless, fully managed observability platform: a drop-in replacement for Prometheus and the ELK stack, that helps engineering and DevOps teams resolve incidents ~5× faster at ~1/10th the cost of traditional tools. It was founded by ex-Rubrik engineers Kiran Gollu and

Go faster! Golang performance optimization in production

Optimizing Golang for performance and scale

Building a High-Performance, Low-Cost Metrics Observability System

Building a High-Performance, Low-Cost Metrics Observability System

TL;DR ** We are live on HackerNews!** We designed a serverless & cost-efficient metrics observability system that delivers fast performance at any scale. * Try out our playground with 13M+ active time series/hr & 34B+ samples/day * Explore all features with live data via Quick Signup * Instant exploration (<