Event Type: Webinar

Join us on November 18th at 12:00 PM CEST and learn how AI bridges the gap between developers, SREs, and platform engineers to enhance service performance.

Over the past decade, teams have embraced the shift-left movement adding testing, observability, and automation earlier in the lifecycle. Yet one critical element never followed: optimization.

The DevOps trend has put developers on call. The result? A culture of safe overprovisioning, reactive firefighting, and rising cloud bills.

It’s time to add the missing empowerment to teams. In this joint session, Akamas CTO Stefano Doni, Perform IT CTO Damjan Kumin, and Akamas Head of Solutions Engineering Mauro Pessina will explore how Akamas Insights unites developers, SREs, and platform engineers around one goal: delivering reliable, efficient services.

By connecting directly to your observability data, Akamas detects optimization opportunities, estimates their impact on cost and reliability, and recommends the best configuration changes, from runtime parameters to cluster resources.
Whether you prefer to review and apply these or simply oversee the autonomous execution of changes, closing the loop between performance, reliability, and cost has never been easier.

Learn how Perform IT’s observability expertise and Akamas’ AI technology empower teams to move from reactive firefighting to continuous fine-tuning, improving performance, reducing costs, and building confidence in every release.

Register for the Webinar

Reserve your spot now by filling out the registration form and join us live!

On September 25, 2025, we rethought how to tune Java applications in modern cloud-native environments.

Modern Java workloads run at massive scale – but running them efficiently on Kubernetes is still harder than it should be.

In this webinar, Akamas CTO Stefano Doni and Microsoft Principal PM Bruno Borges explore the current state of Java performance on Kubernetes, uncover widespread misconceptions, and take a forward-looking view of what’s coming next in the Java ecosystem.

From GC tuning and memory limits to CPU boost and container-aware heuristics, they walk through real-world lessons and best practices to avoid the most common (and costly) performance pitfalls. They also dive into what JDK 25 and projects like Leyden mean for future workloads – and how engineers can prepare.

Key takeaways:

• What most developers still get wrong about Java on Kubernetes
  
• The surprising impact of resource requests, limits, and topology on performance
  
• Upcoming JVM features that promise better startup, memory efficiency, and tuning control
  
• The role of observability, experimentation, and AI in next-gen performance engineering
  
• Practical tools to boost your performance workflows
  

Whether you’re tuning microservices at scale or just want to get the most from your Java applications on Kubernetes, this session helps you navigate the complexity and unlock new performance opportunities.

Watch the recording

Fill out the form to watch the full recording of the webinar.

On September 16, 2025, we hosted an exclusive webinar exploring the future of performance optimization in the Cloud and Kubernetes era.

As organizations face increasing complexity, tighter budgets, and growing pressure to deliver resilient, high-performing systems, optimization has become a strategic priority. Yet, many companies still rely on reactive approaches or manual efforts that don’t scale.

In this webinar, GigaOm Field CTO Whit Walters and Akamas CEO & Co-Founder Luca Forni share their expertise to help you understand:

• What’s driving the industry-wide shift toward proactive optimization
• Key findings from GigaOm’s Cloud and Kubernetes Optimization reports
• Why Akamas earned 5-star recognition in the GigaOm Radar
• Real-world use cases showing how teams are democratizing optimization and delivering better software, faster

Watch the recording

Fill out the form to watch the full recording of the webinar.

Learn from our three-year journey optimizing thousands of Kubernetes pods across multiple enterprise environments.

In this Ignite episode, Stefano Doni and Mauro Pessina share the key lessons they discovered while maximizing application reliability and reducing cluster resource costs, challenging many common assumptions about Kubernetes optimization.

Watch the recording to learn:

• Why traditional resource optimization approaches often fall short
• How application-aware optimization leads to better results
• Real-world examples of significant cost savings and reliability improvements
• Practical techniques you can implement in your environment

Whether you’re managing dozens or thousands of pods, you’ll leave with actionable insights to improve your Kubernetes operations.

Explore the integration of machine learning and automation in performance engineering.

In this webinar, Pawel Popiolek of Sabre and Stefano Doni, CTO of Akamas, shared Sabre’s journey, highlighting the introduction of Akamas for performance optimization challenges and covering practical use cases, including K8s and JVM tuning that led to 50% cost reduction.

Pawel and Stefano discussed:

• The benefits of AI for performance engineering
• How and why to use Akamas
• How AI can help performance engineers work better and faster

Watch the recording for a comprehensive session on AI-enhanced performance optimization.

There is a “dark side” to Kubernetes that makes it difficult to ensure the desired performance and resilience of cloud-native applications, while also keeping their costs under control.

Indeed, the combined effect of Kubernetes resource management mechanisms and application runtime heuristics may cause serious performance and resilience risks.

• How to best align the sizing of the container with the resource requirements of the applications running on it?
• How to avoid CPU throttling impacting response time?
• What is the right heap size and Garbage Collection type to minimize cost and avoid out-of-memory (OOM) issues?

On the other hand, there are also significant potential improvements, both in terms of performance and efficiency, that can be achieved by properly tuning Kubernetes and application runtime (e.g. JVM, Golang) configuration settings.

In this webinar, we illustrate how the Akamas AI-powered optimizations platform addresses these challenges by making it possible to set the optimization goals (e.g. cost reduction) and constraints (e.g. performance SLOs) and get recommendations on how to adjust configuration settings dynamically under the varying workload.

On May 18 we joined our partners Performetriks and Mediro ICT, for a new edition of the Core Banking Performance Optimization online event. 

During the event, we presented our AI-powered optimization approach and platform by introducing how Akamas can automatically identify the best configurations for the multitude of parameters of today’s IT stacks while also supporting developers, performance engineers and SRE teams in evaluating different options recommended by Akamas to deliver maximum service performance and resilience, at minimum cost. 

Watch the video to learn more about Akamas benefits for delivering high-quality, cost-effective services.

Akamas strategic partner Moviri, delivered a presentation on “Getting the optimal service efficiency that autoscalers won’t give you” at KubeCon + CloudNativeCon Europe 2022 conference.

Mauro Pessina, Manager Performance Engineering Business Line at Moviri, shared the results of extensive tuning activities performed on a Kubernetes microservices application to minimize cloud cost without compromising on its performance.

To learn more about Kubernetes optimization with Akamas, visit the Akamas Kubernetes Optimization solution page and the Akamas resource center.

One of the top benefits of Kubernetes is efficiency. Nevertheless, several companies adopting Kubernetes may experience high costs and performance issues. The challenge of manually tuning Kubernetes applications is well known to Performance Engineers and SREs.

During his session at Conf42 Cloud Native 2022, Giovanni Gibilisco (Head of Engineering at Akamas) talks about this challenge and also shows how to overcome it thanks to a new approach that leverages ML techniques.

In the first part of his speech, Giovanni explains some less-known facts about Kuberenetes resource management and auto-scaling mechanisms. He then demonstrates how to get a Kubernetes microservices application automatically tuned for both pod and runtime configurations. The real-world case presented refers to an organization whose optimization goal was to both minimize the Kubernetes cost and maximize the application throughput, while also matching their SLOs.

Stefano Doni (Akamas CTO) was one of the guest experts for the CMG virtual event on “Cloud’s top trends for 2022”.

During his speech, Stefano describes how to address the challenge of ensuring that cloud-native applications get optimized in terms of service quality, resilience and cost-efficiency.

Stefano illustrates how ML-powered optimization makes it possible to automatically tune Kubernetes microservices applications, without spending hours of manual tuning. A real-case is discussed where the cloud bill was significantly reduced while better performance and resilience was achieved by simply letting ML automatically tune Kubernetes pod and application runtime configurations once the cost-reduction goal and the constraints reflecting SLOs in place were stated.

Stefano Doni (CTO Akamas) presented his talk during the Meetup hosted by IBM Research for the Cloud Technology in the North, on March 14th.

During his speech, Stefano covers key Kubernetes resource management concepts and demonstrates how machine learning techniques can enable developers and SREs to automatically identify the size of pod resources that both minimizes infrastructure cost and improves application performance and reliability.

During our first Ignite by Akamas, Scott Moore (Head of Customer Engineering at Tricentis) and Stefano Doni (CTO at Akamas) dug deep into the challenges of every performance engineering expert.

Watch the video to hear how our experts addressed the very interesting questions received before and during the webinar on the topics of how Performance Engineering is changing, performance testing tools & methodologies, and optimization of Kubernetes and microservices applications.