Akamas
Application performance monitoring (APM) tools
Cloud cost management tools
Monitoring software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
Take the quiz to check if Akamas and its alternatives fit your requirements.
Contact the product provider
Free Trial
Free version unavailable
Small
Medium
Large
-
What is Akamas
Akamas is an AI-driven optimization platform that runs controlled experiments to tune application and infrastructure configurations for performance and cost. It is used by platform engineering, SRE, and DevOps teams to optimize Kubernetes, microservices, and cloud resources based on defined objectives (for example latency, throughput, or spend). The product focuses on automated configuration optimization rather than being a full-stack observability suite, and it typically integrates with existing monitoring and CI/CD tooling to measure outcomes.
Automated configuration optimization loops
Akamas is designed to run iterative experiments and apply configuration changes based on measured results. This supports use cases such as tuning JVM and application parameters, Kubernetes resource requests/limits, and autoscaling settings. Compared with tools that primarily collect telemetry, it emphasizes closed-loop optimization and decisioning.
Cost and performance objectives
The platform supports multi-objective optimization, allowing teams to balance performance targets with infrastructure cost constraints. This aligns with FinOps and platform teams that need to justify changes with measurable impact. It can be used to reduce over-provisioning while maintaining SLO-oriented performance goals.
Fits into existing observability
Akamas typically relies on external metrics and traces from monitoring/APM systems to evaluate experiments. This makes it usable in environments where telemetry is already standardized and teams do not want to replace their monitoring stack. It can complement existing dashboards and alerting by focusing on optimization actions rather than detection alone.
Not a full APM suite
Akamas is not primarily an end-to-end APM product with broad native tracing, log analytics, and incident workflows. Organizations usually still need separate monitoring/APM tools for root-cause analysis and day-to-day troubleshooting. Buyers expecting a single consolidated observability platform may find functional gaps.
Requires experimentation readiness
The approach depends on having stable environments, clear KPIs/SLOs, and the ability to run controlled changes safely. Teams without mature deployment practices, test environments, or rollback automation may struggle to operationalize continuous optimization. Initial setup often requires careful scoping to avoid noisy or inconclusive experiments.
Integration and data dependency
Optimization quality depends on the availability and correctness of metrics used to score experiments. If telemetry is incomplete, delayed, or inconsistent across services, results can be unreliable or hard to interpret. Integrations may require engineering effort to map objectives, constraints, and configuration parameters to the systems being tuned.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Insights | Not publicly listed — Contact sales (priced per Optimization Credit: "credit/month"). | Discover optimization opportunities; Effortless recommendations; Reduce reliability risks; Standard support included; Minimum subscription term: 1 year; Optimization Credits allow one active optimization study at a time. |
| Offline | Not publicly listed — Contact sales (priced per Optimization Credit: "credit/month"). | Offline optimization studies in pre-production; Measured impact based on load tests; Run unlimited sequential optimizations; Optional Gold support and professional services; Minimum subscription term: 1 year. |
Seller details
Akamas S.r.l.
Milan, Italy
Private
https://akamas.io/
https://x.com/akamasio
https://www.linkedin.com/company/akamas/
