Event Type: Live Event

Modern systems have become too complex to optimize manually.

This was one of the key themes we explored at “L’Era della Performance Aumentata”, the event we co-hosted with LHH Executive Search in Milan.

As AI moves from assisting decisions to increasingly acting autonomously, organizations face a new challenge: how to combine automation and human judgment to drive better outcomes.

At Akamas, this is exactly the problem we focus on – applying AI to continuously optimize complex systems and improve performance, reliability, and cost efficiency, while keeping humans in the decision loop.

In many ways, our goal is simple: to make optimization a practical discipline for enterprises – turning what once required rare expertise into something teams can adopt and operate with confidence.

Thank you to the speakers who shared their perspectives during the discussion:
• Alec Ross — Distinguished Professor | Bologna Business School
• Massimiliano Magrini — Founder & Managing Partner | United Ventures
• Deborah Buttignol — Managing Partner | LHH Executive Search
• Luca Forni — CEO | Akamas
• Stefano Doni — CTO | Akamas
• Matteo Fabiano — CMO | Moviri

And thanks to everyone who joined us at Terrazza Martini for the conversation.

The era of augmented performance has just begun.

Akamas at Devnexus 2026

Join Akamas at Devnexus 2026, the premier developer conference for Java and cloud-native technologies, on March 4–6 at the Georgia World Congress Center in Atlanta, GA.

As a Silver Sponsor, we’ll be at our booth showcasing how Akamas enables autonomous optimization for Java, Kubernetes, and modern cloud-native systems.

Discover how our AI-powered platform helps developers, SREs, and platform teams detect inefficiencies, optimize runtimes and Kubernetes configurations, and reduce cost and latency without manual tuning.

Don’t miss our CTO’s talk on Java optimization

On March 5, Akamas CTO Stefano Doni will take the stage at Devnexus to deliver his talk: “Beyond Default Settings: Optimizing Java on K8s with AI-Driven Performance Tuning”. Discover a new approach to Java tuning that improves performance and reduces costs, without compromising developer speed.

Schedule a Meeting

If you’re attending Devnexus 2026, let’s connect! Use the form to schedule a meeting with our team and see Akamas in action. You’ll get a hands-on demo of how Akamas Insights delivers safe, autonomous optimization based on your real telemetry – enabling you to:

• Improve Kubernetes efficiency
• Optimize JVM and Node.js performance
• Ensure SLOs are met without overprovisioning
• Reduce cloud costs without risking reliability

Akamas at KubeCon + CloudNativeCon Europe 2026

Join Akamas at KubeCon + CloudNativeCon Europe 2026, hosted by the Cloud Native Computing Foundation and the Linux Foundation, on March 23–26 at the RAI Amsterdam in Amsterdam, Netherlands.

At our booth, we’ll showcase how Akamas Insights turns observability data into safe, ready-to-apply optimization actions – helping platform engineers, SREs, and developers reduce waste, prevent reliability risks, and improve Kubernetes efficiency without manual tuning.

See how our AI-powered platform detects inefficiencies across pods, JVMs, and node pools, estimates their impact on cost and reliability, and recommends the right configuration changes for your environment. Akamas brings full-stack, data-driven optimization to Kubernetes, enabling smarter decisions and continuous improvements across modern cloud-native applications.

Schedule a Meeting

If you’re attending KubeCon + CloudNativeCon North Europe 2026, let’s connect! Use the form to schedule a meeting with our team and get a hands-on demo of Akamas Insights directly at our booth. You’ll see how our AI-powered platform turns observability data into safe, ready-to-apply optimization actions — helping developers, SREs, and platform teams reduce waste, improve reliability, and keep Kubernetes environments continuously efficient.

Our DevRel on Stage at KubeCon Week

During KubeCon week, our Developer Relations Engineer Graziano Casto will take part in three sessions across the broader KubeCon ecosystem, contributing to conversations on platform engineering, observability, and developer experience.

• On Saturday, March 21, at Cloud Native Rejekts EU, Graziano will present “The Self-Improving Platform: Closing the Loop Between Telemetry and Tuning”, exploring how internal developer platforms can evolve beyond provisioning into continuous optimization systems – feeding production telemetry back into deployment manifests to suggest runtime tuning without increasing developer cognitive load.
• On Monday, March 23, he will co-present “Making Observability Work at the Edge”, a technical deep dive into building sustainable observability strategies for constrained Edge environments using OpenTelemetry, smart data reduction techniques, and lightweight Kubernetes deployments.
• Then on Wednesday, March 25, Graziano will join the panel “The Next Chapter of Developer Experience: TAG DevEx in Action”, discussing how CNCF TAG Developer Experience is reducing friction in developer workflows and shaping the future of cloud-native DevEx.

If you’re attending KubeCon week, join the sessions and connect with Graziano to continue the conversation.

An Evening with the Cloud-Native Community

During KubeCon week, Akamas will also co-host an evening reception together with The New Stack and Dynatrace. Join us on Wednesday, March 25, from 6:00 to 8:00 PM, at Zuidpool, a waterfront venue just steps away from the RAI Amsterdam.

The reception is a chance to connect with fellow platform engineers, SREs, and cloud-native practitioners in a relaxed setting with great conversations, drinks, and views, right after a full day at KubeCon.

Space is limited, and registration is required.

Akamas at Dynatrace Perform 2026

Join Akamas at Dynatrace Perform 2026, taking place on January 26–29, 2026 at The Venetian, Las Vegas, Nevada.

We’ll be there to showcase how our AI-powered autonomous optimization platform helps performance engineers, SREs, and DevOps teams address the reliability and efficiency challenges of today’s dynamic, cloud-native systems – from distributed architectures to AI-driven applications where observability, resilience, and cost optimization are key.

Discover how Akamas leverages advanced machine learning techniques to optimize full-stack configurations across cloud-native, microservices-based systems, ensuring optimal trade-offs between throughput, response time, resilience, and cost.

Schedule a Meeting

If you’re attending Perform, let’s connect! Use the form to schedule a meeting with our team and get a hands-on demo of Akamas Insights directly at our booth. It’s a great chance to explore how we can support your performance and reliability goals — from optimizing configurations to enabling autonomous operations at scale.

Akamas at KubeCon + CloudNativeCon North America 2025

Join Akamas at KubeCon + CloudNativeCon North America 2025, hosted by the Cloud Native Computing Foundation, on November 10–13 at the Georgia World Congress Center in Atlanta, Georgia.

At booth #1760, we’ll be showcasing how our AI-powered autonomous optimization platform empowers platform engineers, SREs, and DevOps teams to overcome the performance and cost-efficiency challenges of Kubernetes and modern cloud-native environments — from microservices-based systems to AI-powered applications where tuning and resilience are critical.

Discover how Akamas leverages advanced machine learning techniques to continuously optimize full-stack configurations, ensuring smarter trade-offs between resource usage, performance, and reliability across Kubernetes, JVM, and cloud infrastructure.

Schedule a Meeting

If you’re attending KubeCon + CloudNativeCon North America 2025, let’s connect! Use the form to schedule a meeting with our team and get a hands-on demo of Akamas Insights directly at our booth. It’s a great opportunity to discover how autonomous performance optimization can help you get the most out of your Kubernetes and cloud-native environments – improving efficiency, resilience, and scalability.

Akamas at SREcon 25 EMEA

Join Akamas at SREcon25 Europe/Middle East/Africa, sponsored by USENIX, on October 7–9, at The Convention Centre Dublin in Dublin, Ireland.

As a Bronze Sponsor Exhibitor, we’ll be at Stand 5 presenting how our AI-powered autonomous optimization platform supports SREs, DevOps, and performance engineers in tackling the evolving reliability challenges of modern systems — from complex distributed architectures to AI-driven applications where model behavior, data quality, and system observability are critical.

Discover how Akamas leverages advanced machine learning techniques to optimize full-stack configurations across cloud-native, microservices-based systems, ensuring optimal trade-offs between throughput, response time, resilience, and cost.

Schedule a Meeting

If you’re attending SREcon, let’s connect! Use the form to schedule a meeting with our team and get a hands-on demo of Akamas Insights directly at our booth. It’s a great chance to explore how we can support your performance and reliability goals — from optimizing configurations to enabling autonomous operations at scale.

Akamas at DASH 2025

Join Akamas at DASH 2025, Datadog’s observability conference, on June 10–11 at the North Javits Center in New York.

As a Silver Sponsor, we’ll be at booth S-6 showcasing how our AI-powered autonomous optimization platform enables DevOps, SREs, and performance engineers to maximize application performance, reliability, and cost savings.

Discover how Akamas leverages advanced machine learning techniques to optimize full-stack configurations across cloud-native, microservices-based systems, ensuring optimal trade-offs between throughput, response time, resilience, and cost.

Schedule a Meeting

If you’re attending DASH, let’s connect! Use the form to schedule a meeting with our team and get a hands-on demo of Akamas Insights directly at our booth. It’s a great chance to explore how we can support your performance goals and help you unlock more value from your observability data.