Meet Sed: Your Cloud & AI Assistant
Sed is an AI assistant that answers questions & makes changes across your entire stack
Introducing Sed: Your cloud & AI assistant
Meet SedSed is an AI assistant that answers questions & makes changes across your entire stack
Learn how Palo Alto Networks dramatically reduced its cloud costs with Sedai
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.
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.
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 cut AWS ECS costs 40%, saved 3,868 engineering hours, and reduced S3 storage 66% using Sedai autonomous cloud optimization.
See how Informed eliminated 900 hours of engineering toil and 26k+ days of latency across its Lambda environment — without a single production incident.
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.
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.
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.