04 Nov
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
29 Oct
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
22 Oct
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
15 Oct
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
14 Oct
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
13 Oct
How I learned to love Kubernetes with resource and cost optimization
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
10 Sep
Faster apps, lower bills: optimizing travel search in the cloud
All online businesses are facing strong challenges in maximizing the throughput of their most critical service during the peak-demand season in a cost-effective way. In less than 2 weeks, Akamas optimized lastminute.com key Java microservice-based application running on Kubernetes, by
25 Jan
Measuring CPU throttling in containerized environments
We had the opportunity to present two speeches at the Neotys PAC Santorini 2020 conference. One was about containerized environments and the throttling phenomenon, while the other was about the continuous performance optimization of Java applications. Edoardo Varani (Consultant Performance
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