Watch the best sessions from autocon/22, the autonomous cloud conference đ
Why modern apps need autonomous management
Autonomously scale, continuously optimize resources and cut costs
Continuous performance optimization and autonomous concurrency for serverless
Autonomous cost and resource optimization
Cut cloud cost and tune performance
Improve availability and minimize Failed Customer Interactions (FCIs)
Know how new releases perform in production
Set and optimize performance
Work with your existing tools
Optimize apps & infrastructure
Improve customer experience
Reduce FCIs
Cut manual toil
Improve agility
Find 30-50% cost savings by optimizing apps & infrastructure
Improve customer experience with 30-75% performance gains
Reduce Failed Customer Interactions (FCIs)
Understand the performance of every release
Drive cost, performance and availability with AI
Integrate AI into your tech stack for  cost, performance and availability
Deliver reliability with the power of AI
Provide a powerful tool for engineers to optimize their applications
Optimize cloud costs with integrated engineering & financial optimization
Optimize performance automatically
Drive site conversion & optimize margins
Meet the threat with high reliability & optimized costs
Improve traveler experience & optimize cloud costs
Improve online experience & optimize cloud costs
Sedai CEO Suresh Mathew explains the difference between an autonomous and automa
Existing Datadog users can now add autonomous management capabilities, improving
Lambda extensions offer a way to easily integrate Lambda with your favorite moni
Cold starts are the #1 performance problem for Lambda users. Autonomous concurr
Combining serverless with autonomous is a path to NoOps. From a developer's per
This video covers the evolution of systems from mechanized to automatic to auton
Observability is a building block for autonomous systems. This session covers t
Kubernetes utilization is typically poor with only 20-45% of requested resources
In this session AWS container hero Dijeesh Padinharethil covers autoscaling in K
Managing Kubernetes with current automated approaches makes it almost impossible
%201-p-500%201.png)
%201.png)