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

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 Autonomous performance optimization for banking apps
Performance optimization for banking apps

During the event “Continuous Core Banking Performance Optimization” organized together with our partners Performetriks and Dynatrace, we presented how Akamas allows banks and financial companies to maximize their service performance and resilience, while also reducing costs. In the recorded video (about 20

Akamas Jenkins CI CD pipeline Video
Akamas Continuous Optimization: Integration with Jenkins in the CI/CD pipeline

Akamas AI-powered performance optimization can be easily integrated in any CI/CD pipeline to ensure that applications are always delivered with an optimal configuration. This short video illustrates how Akamas can be integrated into a Jenkins pipeline to support this continuous

Akamas in 2 minutes Video
Akamas in 2 minutes: maximize service quality, resilience, and cost savings

Today IT stacks come with hundreds of configuration options that can dramatically impact application performance & resilience, and cost. The complexity of tuning these options defies human experts and the ability to deliver at business speed. Akamas is the AI-powered

Akamas 451 Research Coverage initiation
Coverage initiation: “Akamas promises full-stack optimization with goal-oriented ML”

451 Research “Initial Coverage” report by Jean Atelsek and Liam Rogers (published: July 2021). Read how 451 Research assesses Akamas capabilities: “Akamas has applied reinforcement learning to meet this challenge, developing an optimization engine and scoring algorithm that enables users

Akamas LoadRunner integration
Akamas integration with Micro Focus LoadRunner

This video describes the integration between Akamas and Micro Focus LoadRunner solutions. Thanks to the integration with LoadRunner Enterprise and LoadRunner Professional, performance teams can reuse their performance tests to support their optimization activities with Akamas. Watch this video to

Collaborative filtering approach Akamas LCTES
Collaborative Filtering: the new state-of-the-art for compiler autotuning

Selecting the right compiler optimizations is known to have huge impacts on application performance. However, optimization options constantly increase and their effect is highly dependent on the specific program, preventing a manual approach. This paper by Akamas Research and Politecnico

Akamas AI-driven with Micro Focus LoadRunner
AI-driven performance optimization: A real-world example

Modern applications sit atop of many layers, such as Java Virtual Machines, container, database, cloud, and more, each providing hundreds of settings all interacting in complex and counterintuitive ways. Manual and trial-and-error performance tuning cannot cope with this complexity with

Akamas Performance Summit 2020 automated performance optimization
From manual performance testing to automated performance optimization

The Akamas team was invited to present our AI-powered performance optimization technology during the London Edition of the Performance Summit, powered by Facebook. Giovanni Gibilisco, Akamas Head of Engineering, demonstrated our novel approach to IT stack tuning: Autonomous Performance Optimization. In this

Case study lastminute Akamas
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

Akamas Dynatrace integration Performance clinic
A guide to Autonomous Performance Optimization

In this Performance Clinic episode, Stefano Doni (CTO Akamas) joins Andreas Grabner (DevOps & ACE Activist at Dynatrace). Stefano explains which are the practical steps you need to take to automate optimizations of your enterprise, cloud, or database systems leveraging observability data

Akamas Neoload integration 2020
AI-driven optimization: The key to more performance for lower costs

We had the opportunity to organize a webinar alongside Neotys, our Technological Partners. We wanted to present the integration between our two products, that became available with the Akamas 1.7 update, and what better way to do it than with a webinar?

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