Optimizing your Kubernetes clusters without breaking the bank
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AkamasAkamas
Enabling enterprises to maximize service quality, resilience and cost savings.
Technology by Akamas- Product information
Overview
Today IT stacks come with hundreds of configuration options that can dramatically improve application performance and resilience and also reduce costs. The complexity of this task defies human experts and the ability to deliver at business speed. Akamas is the AI-powered autonomous optimization solution that enables enterprises and online businesses to deliver unprecedented levels of service performance and resilience at minimum cost.
Akamas key differentiating features are:
- Full-stack: Akamas optimizes any system, application, middleware, database, and cloud. Akamas is fully clientless as it leverages Dynatrace and any other monitoring tool to collect KPIs
- AI-driven: Akamas patented reinforcement learning has been designed to intelligently explore the space of potential configurations and converge to the optimal configuration within hours
- Goal-oriented: Akamas can identify the best tradeoff among throughput, response time, resilience, cost based on any set of goals & constraints representing the customers SLO and business constraints
- Closed-loop: Akamas allows recommended configurations to be analyzed and automatically applied, also as part of the CI/CD pipeline.
Key Features
Akamas key differentiating features are:
- Full-stack: Akamas optimizes any system, application, middleware, database, and cloud. Akamas is fully clientless as it leverages Dynatrace and any other monitoring tool to collect KPIs
- AI-driven: Akamas patented reinforcement learning has been designed to intelligently explore the space of potential configurations and converge to the optimal configuration within hours
- Goal-oriented: Akamas can identify the best tradeoff among throughput, response time, resilience, cost based on any set of goals & constraints representing the customers SLO and business constraints
- Closed-loop: Akamas allows recommended configurations to be analyzed and automatically applied, also as part of the CI/CD pipeline.
Resources
- Blog - Dynatrace® Apps showcase: Akamas Kubernetes optimization
- Blog - A guide to Autonomous Performance Optimization
- Performance Clinic - A Guide to Autonomous Performance Optimization
- Optimizing your Kubernetes clusters without breaking the bank
- Ignite by Akamas: "Pimp my Kubernetes clusters - make it cheap and cool"
