Resources

Autonomous Optimization

Akamas Optimization Insights: Understand potential tradeoffs among competing KPIs

Kubernetes Optimization

Conf42 Cloud Native: Cheap or fast? How we got both by leveraging ML to automatically tune K8s apps

Autonomous Optimization and more

Leverage AI-powered optimization to cut cloud costs and improve business agility

Autonomous Optimization

Akamas continuous optimization with Dynatrace Cloud Automation

Services Resilience

Chaos Engineering & Autonomous Optimization combined to maximize resilience to failure

Kubernetes Optimization and more

How to leverage ML-based optimization to balance Kubernetes performance, resilience and cost-efficiency

Kubernetes Optimization and more

Using ML to automatically optimize Kubernetes for cost efficiency & reliability

Kubernetes Optimization and more

Beware of autoscaling if you want your Kubernetes services to be reliable and cost-efficient

Autonomous Optimization and more

Delivering high-quality SaaS services at lower cloud cost and carbon footprint

Kubernetes Optimization

Optimizing Kubernetes microservices applications

Kubernetes Optimization

How to optimize your Kubernetes application with Stefano Doni

Kubernetes Optimization

Optimizing your Kubernetes clusters without breaking the bank

Kubernetes Optimization

Autonomous Optimization for Kubernetes applications

Autonomous Optimization and more

AI-driven performance optimization – A real-world example