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Meet Sed: Your Cloud & AI Assistant

Sed is an AI assistant that answers questions & makes changes across your entire stack

Become a Cloud Guru

How Palo Alto Networks Takes Control of Its High-Stakes Cloud

Learn how Palo Alto Networks dramatically reduced its cloud costs with Sedai

You're Debugging AI Failures the Wrong Way

Why Your AI Agents Keep Failing in Production

On this episode of 1 IDEA, Jason Li (CTO @ Laurel) breaks down how to separate deterministic and probabilistic systems, what that means for incident response, and why AI code generation just made code review the most important bottleneck in your pipeline.

"Built to Fail" With a diagram of a hub and spoke model for a distributed system

Why AI Made Us Redesign Our Distributed System

Sedai's VP of Engineering on re-architecting a distributed system to expect failure, moving fault tolerance to a central orchestrator so it recovers on its own.

You're Debugging AI Failures the Wrong Way

You're Debugging AI Failures the Wrong Way

On this episode of 1 IDEA, Jason Li (CTO @ Laurel) shares his rule on what actually breaks AI in production and what to do about it.

Relay Network Case Study Featured Image

How Relay Network Saved 3,868 Engineering Hours with Autonomous Cloud Optimization

Relay Network cut AWS ECS costs 40%, saved 3,868 engineering hours, and reduced S3 storage 66% using Sedai autonomous cloud optimization.

Informed IQ Case Study Featured Image

How Informed Cut 900+ Hours of Engineering Toil with Sedai

See how Informed eliminated 900 hours of engineering toil and 26k+ days of latency across its Lambda environment — without a single production incident.

AI can't fix bad data thumbnail

AI Can't Fix Bad Data

In this episode of 1 IDEA, Suresh Mathew sits down with Christian Monberg (CTO @ Zeta Global) to discuss what it actually takes to build AI systems that work in production.

Why AI Isn't Making Eng Teams Faster with Sashanka Vishunvajhala, Text Says, "AI Broke Your SDLC"

Why AI Isn't Actually Making Eng Teams Faster

In this episode of 1 IDEA, Suresh Mathew sits down with Sashanka Vishnuvajhala (SVP of Engineering @ Fanatics) to break down why and how he rebuilt the entire pipeline from spec to production.

Why ML Training Data Fails In Production

Validate Your ML Training Data Before Production Does It for You

On this episode of 1 IDEA, Eugene Fratkin (VP of Engineering @ Salesforce) breaks down why ML training data fails in production and what to validate before you ship.