Akamas case study TeamSystem Kubernetes
Delivering high-quality SaaS services at lower cloud cost and carbon footprint

Companies delivering business-critical SaaS services are often facing much higher costs than expected. Growing cloud bills may be disregarded during the migration phase to the cloud, but the time comes when they may heavily impact the ability to deliver cost-effective

Akamas K8s optimization Video
Optimizing Kubernetes microservices applications

Due to the complexity of Kubernetes microservices applications, typically many days and weeks of manual effort are spent, just for tuning one single microservice. However, overprovisioning neither avoids slowdowns or resilience issues nor helps make the delivered service cost-effective. This

Is it observable interview Akamas
How to optimize your Kubernetes application with Stefano Doni

In this episode of the “Is It Observable” series by Henrik Rexed (Cloud Native Advocate at Dynatrace), Stefano Doni (CTO at Akamas) discusses the benefits of AI to optimize Kubernetes microservices applications. Stefano also demonstrated how to easily setup Akamas for applying AI-powered optimization

Akamas Dynatrace blog post Kubernetes
Optimizing your Kubernetes clusters without breaking the bank

Organizations across the world are fast adopting Kubernetes. That is because Kubernetes provides several benefits from a performance perspective. Its ability to densely schedule containers into the underlying machines translates to low infrastructure costs. It prevents a runaway container from impacting

Akamas Solution brief Kubernetes applications
Autonomous Optimization for Kubernetes applications

The complexity of Kubernetes resource management often leads developers, Performance Engineers and SREs to adopt very conservative configurations and resource overprovisioning. The resulting unnecessary infrastructure/cloud costs may significantly affect the overall cost efficiency of delivered services, while not necessarily removing

Akamas Micro Focus ANZ webinar recording
AI-driven performance optimization – A real-world example

Stefano Doni (CTO Akamas) joins Ray Ffrench (Micro Focus ADM Senior DevOps Technical Consultant) during an episode of the Micro Focus ANZ Monster-Sized Meetup Series. They will discuss the AI-driven performance optimization solution which can allow performance engineers to automate testing, automatically identify optimal

Ignite by Akamas webinar recording
Pimp my Kubernetes clusters – make it cheap and cool

During our “Ignite by Akamas” webinar, Henrik Rexed (Cloud Native Advocate at Dynatrace) and Stefano Doni (CTO at Akamas) talked about the benefits of Kubernetes and the challenges when optimizing it. Watch the video to learn how to successfully overcome the challenges of Kubernetes by using

TestGuild podcast Akamas
Kubernetes using AI to optimize performance

In this interview with Joe Colantonio, host of the TestGuild podcast, Stefano Doni (CTO at Akamas) describes why managing Kubernetes provides many challenges from a performance engineering and SRE perspective. By illustrating Kubernetes key resource management concepts, he explains why tuning

Akamas Conf42 2021 Kubernetes optimization
Let the machines optimize the machines

Efficiency is one of Kubernetes’ top benefits, yet companies adopting Kubernetes often experience high infrastructure costs and performance issues, with applications failing to match latency SLOs. Even for experienced Performance Engineers and SREs, sizing of resource requests and limits to

Ignite by Akamas webinar recording
Performance Engineering – a bright future?

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

Akamas SREcon 2021 Kubernetes
Automating performance tuning with machine learning

Efficiency is one of Kubernetes’ top benefits, yet companies adopting Kubernetes often experience high infrastructure costs and performance issues, with applications failing to match latency SLOs. Even for experienced Performance Engineers and SREs, sizing of resource requests and limits to ensure application

Akamas Performance Summit Kubernetes optimization
Using ML to automatically optimize Kubernetes for cost efficiency and reliability

In this presentation at Performance Summit 2021 on September 29th, Stefano Doni (CTO at Akamas) describes how ML techniques enable Developers and SREs to automatically optimize Kubernetes for cost efficiency and reliability.Kubernetes the task of properly configuring pod resources (requests

Akamas Tricentis PAC webinar recording
Using AI to optimize Kubernetes and meet SLOs

Efficiency is one of Kubernetes top benefits, yet companies adopting it often experience high infrastructure costs and performance issues, with applications failing to match latency SLOs. Even for experienced Performance Engineers and SREs, sizing of resource requests and limits to

Akamas Kubernetes optimization SLOs
How I learned to love Kubernetes and stop worrying about costs and SLOs

The benefits of Kubernetes from a performance perspective are undisputable. Let’s just consider the efficiency provided by Kubernetes, thanks to its ability to densely schedule containers into the underlying machines, which translates to low infrastructure costs. Or the mechanisms available to isolate

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