The most comprehensive K8s and application optimization solution
Unites developers, SREs, and platform engineers around one goal: delivering reliable, efficient services.
Benefits
Maximize Cost Efficiency and Reliability in Kubernetes
Full-Stack Optimization
Optimize from infrastructure to app runtimes – including JVM and Node.js – for deeper savings and better performance.
Instant Cost Savings
Cut cloud costs fast by fixing overprovisioned resources and scaling inefficiencies – no manual tuning required.
Proactive Reliability
Prevent incidents by detecting risky configs like missing limits or memory misalignments before they cause issues.
Compliance By Design
Identify deviations from Kubernetes and application best practices – like improper HPA settings or missing JVM configs – and ensure consistent, reliable deployments.
Get started in minutes
Easy setup via observability integrations
Connect Akamas Insights to your existing observability stack — no agents, no code changes.
In minutes, you can start analyzing metrics from Prometheus, Dynatrace, or Datadog to uncover inefficiencies and reliability risks across your Kubernetes environments.
Intelligent Prioritization
Detect optimization opportunities and estimate impact
Akamas automatically analyzes telemetry to identify where resources are wasted or risks arise — from workloads to nodes.
Each finding includes an estimated impact, helping teams prioritize what matters most to performance, reliability, and cost.
effortless cross-stack alignment
Optimize Pods and JVMs across the stack
Align between Devs and Platform.
Akamas analyzes configuration parameters across Pods and application runtimes — including JVMs — to deliver actionable recommendations that improve efficiency and prevent issues like throttling or OOMs.
Policy-Driven Governance
Customize tuning profiles and policies
Define how Akamas optimizes your environments with flexible tuning profiles.
Set business priorities, reliability thresholds, and cost targets so recommendations are always aligned with your policies, SLAs, and operational goals.
Cluster NODE POOL optimization
Right-size Kubernetes node pools
Akamas analyzes how workloads use cluster resources, evaluates instance families, sizes, and real utilization to uncover over-provisioning and misaligned capacity ratios.
It provides data-driven instance types recommendations for your node pools, enabling you to make the most from your Cluster Autoscaler and Karpenter setups to safely reduce cost while maintaining reliability with no effort.
EMpower
Who Can Benefit
from Akamas?
Akamas is designed for professionals who prioritize performance and efficiency.
Platform Engineers
- Gain full visibility into cluster efficiency and autoscaling behavior.
- Detect and fix misconfigured workloads that affect cluster reliability.
- Improve platform adoption by helping devs deliver more efficient, reliable workloads — no extra effort needed.
Developers
- Get app-aware recommendations — no need to tweak JVMs or K8s settings.
- Avoid OOMs, CPU throttling, and other performance incidents with zero manual tuning.
- Contribute to cost-saving goals without compromising app reliability.
SREs & DevOps
- Prevent incidents by spotting misconfigurations before they cause problems.
- Eliminate manual tuning with automation across workloads and runtimes.
- Address root causes — not just symptoms — by optimizing both K8s and app layers.
Performance Engineers
- Detect runtime inefficiencies like suboptimal JVM settings
- Leverage production insights to refine test scenarios.
- Enable app teams to adopt best practices for both performance and reliability.
See for Yourself
Experience the benefits of Akamas autonomous optimization.
No overselling, no strings attached, no commitments.