Ignite by Akamas: The dark side of Kubernetes? Light it up with application-aware optimization

Research Paper

Akamas named a leader and outperformer in the GigaOm Radar for Cloud Resource Optimization

Akamas leads the way in Cloud Resource Optimization

Unoptimized cloud resources can prove costly, making cloud resource optimization solutions essential for modern enterprises. These solutions not only balance cost, performance, and other objectives but also provide effective, reliable configuration recommendations that integrate into deployment pipelines, enhancing management processes.

The GigaOm Radar report, now in its third year of evaluating the cloud resource optimization space, builds on previous analysis to show how solutions like Akamas play a role in this evolving market.

Akamas scored high on AI/ML-driven resource predictions, and it generates high-quality recommendations for performance optimizations with a level of quality that rivals top-tier platforms: Akamas’ workload simulation capabilities are among the most extensive we’ve evaluated.

Matt Jallo, GigaOM

Why choose Akamas for Cloud Resource Optimization?

Comprehensive Optimization: Akamas offers a holistic approach to cloud resource optimization, providing robust insights and management across all cloud types—public, private, and Kubernetes environments—ensuring comprehensive coverage.
Seamless Integration: Our technology integrates seamlessly into customers’ deployment pipelines, performance testing tooling and telemetry infrastructure, with no need to install agents. This capability is crucial for businesses aiming to leverage existing investments.
Advanced Automation and AI: Leveraging proprietary machine learning technologies, Akamas automates the optimization process. This automation extends beyond recommendations to include automatic reconfigurations, significantly reducing manual efforts to achieve cost-efficiency and performance enhancement.
Proactive Resource Management: Akamas doesn’t just react to current conditions but anticipates future demands. Our predictive resource management capabilities ensure that your systems are optimized not only for today’s operations but also for future scalability and performance needs.
Unmatched Performance Insights: Our platform offers deep insights into optimization experiments and configurations, providing high-quality, actionable recommendations tailored to each unique environment.

Akamas provides top-of-the-line analysis for performance optimization and workload simulation across a full stack, extending well into AWS, Azure, and GCP at the platform level and virtually anywhere else with some extra effort.

Matt Jallo, GigaOM

For a deeper dive into how Akamas excels in cloud resource optimization and to get detailed insights from the report, fill in the form to access the full GigaOm Radar report.