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
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
In the new normal, high performance and availability of digital services are vital, and so is cutting how much it costs to deliver them. But technology complexity continues to increase: a typical application sits atop of many technology layers such
Today SREs and application teams are often struggling to ensure that their services relying on Kubernetes clusters deliver stable and reliable user experience. Kubernetes is a great platform to run cloud-native microservices applications because of its sophisticated workload orchestration, self-healing
Stefano Doni (Akamas CTO) will be a speaker at the Kubernetes Community Days Italy virtual event on Nov 18th 12:25 PM CET. In the first part of the session, Stefano will explain why so many teams adopting Kubernetes face high
Akamas joins Provice and Dynatrace for the DynaTaste 2021 online event on October 21st at 6:00 pm CET to demonstrate how its innovative AI-based optimization solution revolutionizes the world of performance tuning. Akamas AI-based optimization automatically identifies the best configuration
In a fast-moving and ever-changing industry, finance companies are leveraging AI to achieve more with less, by empowering teams in troubleshooting complex problems and automatically optimizing applications at business speed. We participated in the 90-minute “Continuous Core Banking Performance Optimization”
Today, performance engineers and SREs are facing incredible challenges to ensure the performance and resilience of their services. Multiple factors contribute to these challenges, including the complexity of applications, the variety of technologies involved and their dynamic nature (e.g. Kubernetes).