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Watch the video tour to learn how Akamas autonomous workload optimization works and discover its capabilities and features.

THE PLATFORM

Application-aware.
Autonomous.
AI-powered.

Akamas uses reinforcement learning, telemetry and user-defined goals to autonomously optimize full-stack configurations of enterprise applications, both live in production and offline in testing environments.
Akamas Full-stack Autonomous Workload Optimization Platform
REDUCE CLOUD COSTS -60%

Cut your applications’ demand for compute and infrastructure resources.

IMPROVE EXPERIENCE QUALITY +30%

Increase throughput, and reduce response time, with lower fluctuations and peaks.

ENSURE SERVICE RESILIENCE zero

Ensure that apps and microservices work smoothly through workload peaks and anomalies.

INREASE TEAM PRODUCTIVITY 5X

Automate application tuning, cutting entirely time spent on manual configuration.

Who is Akamas for?

CTO

Achieve service quality, cost efficiency, and operational excellence while aligning teams with the company’s AI innovation goals.

Performance Engineers

Automate performance tests, enhance efficiency, handle complex applications, and receive insightful recommendations for optimal performance.

SREs

Automate configuration for optimized resilience, minimized production impact, and improved scalability within your error budget.

DevOps

Obtain proactive application insights, optimize configurations, reduce manual interventions, and ensure high-quality, timely releases.

FinOps

Align teams, optimize budgets, enhance cloud decision-making, and drive cost-saving initiatives for superior service quality.

IT Operations

Boost efficiency, enhance team skills, align stakeholders, and deliver superior, cost-effective applications with improved practices.

See for yourself.

Experience the benefits of Akamas autonomous optimization.

No overselling, no strings attached, no commitments.

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