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.
https://www.youtube.com/watch?v=Z-G6yMavQrU&list=PLMQ6KXOiwvyki0i258HhaLj-NhzOchpHZ&index=24Akamas 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
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
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
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
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
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
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
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
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
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
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
In this session at Performance Summit 2021 on September 30th, Luca Chiabrera (Head of Customer Success and Sales Engineering at Akamas) describes how Akamas ML-based optimization helps to tailor Google Dataproc to reduce Spark execution time and cut the bill. Dataproc is a
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
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