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Why modern apps need autonomous management
Cut cloud cost and tune performance
Improve availability and minimize Failed Customer Interactions (FCIs)
Know how new releases perform in production
Optimize cloud costs with integrated engineering & financial optimization
Autonomously scale, continuously optimize resources and cut costs
Autonomously optimize Elastic Kubernetes Service
Autonomous cost and resource optimization
Continuous performance optimization and autonomous concurrency for serverless
Optimize EC2 costs with rightsizing
Optimize Intelligent Tiering and Storage Classes
Optimize storage class selection and unused volumes
Autonomously optimize Azure Kubernetes Service
Rightsizing & optimization
Autonomously optimize Google Kubernetes Engine
Autonomously optimize data processing on GCP
Set and optimize performance
Work with your existing tools
Optimize Databricks cost and performance
Find 30-50% cost savings by optimizing apps & infrastructure
Improve customer experience with 30-75% performance gains
Reduce Failed Customer Interactions (FCIs)
Cut manual toil
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 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
In this session AWS container hero Dijeesh Padinharethil covers autoscaling in Kubernetes, cluster autoscaling, scaling tools and event-driven autoscaling.
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