Watch the best sessions from autocon/22, the autonomous cloud conference 🚀


Prevention is better than cure

Proactive, autonomous detection and remediation of problems that threaten your uptime goals and availability SLOs. Reduce Failed Customer Interactions (FCIs) by 50%

How Sedai Benefits Modern Apps

Cloud Savings


Perfomance  Gain


FCI Reduction




Drive improved availability

Avoid issues before they happen

Sedai uses leading indicators to identify threats to availability from memory issues and abnormal behaviors and proactively addresses them

Start preventing issues

Avoid incidents at the peak with predictive autoscaling for containers

Traffic patterns are constantly changing. Sedai's machine learning detects seasonality patterns and helps you avoid availability problems by providing the capacity for the traffic peak while staying cost-optimized in quiet periods. Sedai can act as a smart controller for cloud provider autoscalers and Kubernetes HPA/VPA. If needed, Sedai will also create autoscalers for the workload and cluster to help them respond to availability demands.

Start using predictive autoscaling now

Every action is safety checked

Sedai uses safety checks run before any change in production to ensure remediations will not harm your application

Start preventing issues

Manage availability with Smart SLOs

Set availability SLOs (Service Level Objectives) manually or have Sedai automatically set them. Monitor them through Sedai and receive alerts of breaches

Learn about Smart SLOs

Understand the availability risks for every new release

Understand whether individual releases pose a risk to availability with opinionated scores on release quality on a scale from -10 to +10 based on changes in golden signal metrics (errors, performance and cost) relative to previous releases and SLO breaches

Learn about Release Intelligence

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