17 Feb
Beware of Kubernetes autoscaling if you want your services to be reliable and cost-efficient
Many companies delivering services based on applications running on cloud face much higher costs than expected. The problem is that over-provisioning is too often the approach taken to minimize risks, in particular when development and release cycles are getting shorter
25 Jan
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
20 Jan
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
18 Jan
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
14 Jan
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
11 Jan
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
21 Dec
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
02 Dec
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
12 Nov
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
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
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