Akamas provides a single platform to optimize applications both in pre-production environments, for example to anticipate planned changes, cloud migration or chaos engineering scenarios, and directly live in production while applications are running under dynamically varying workloads. This video series
https://www.youtube.com/watch?v=6JDdu0kjRwk Watch this interview by Scott Moore with Luca Forni (Akamas CEO) and Stefano Doni (Akamas CTO) at the Akamas booth at the KubeCon + CloudNativeCon NA 2022 in Detroit. Scott, Luca and Stefano touch on several topics, including the
Scott Moore, recognized performance expert and consultant at Scott Moore Consulting, interviews Akamas CTO, Stefano Doni, about the release of Akamas 3.0. Scott and Stefano know each other from the early days of Akamas, when the Akamas platform was focused
This video demonstrates the power of the Akamas Optimization Insights feature. Akamas AI-powered optimization allows you to automatically identify the optimal configurations by simply specifying the optimization goal & constraints. The Akamas Optimization Insights feature now automatically presents configurations that
Dynatrace Cloud Automation module uniquely combines automatic and intelligent observability with an enterprise-grade control plane to automate delivery and operations. The module helps organizations automate the entire software development lifecycle and orchestration process for faster innovation and less risk. The
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
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
Google Dataproc is a fully-managed service that hosts open-source distributed processing platforms such as Apache Spark, Presto, and Apache Hadoop on Google Cloud. Dataproc provides the flexibility to manage and configure clusters of varying size, on-demand. However, even with Dataproc users
Finding the right balance between memory, execution time and cost for applications leveraging AWS Lambda can be quite tricky. In this short video, we show how Akamas can optimize applications that use serverless computing resources, such as AWS Lambda.
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
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
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
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