Resources

Akamas Resource Library

The Optimal – June 2026
Newsletter
The Optimal – June 2026

In the June 2026 edition: why Netflix says CPU utilization alone tells you nothing, the two misconfigurations behind Spark OOM…

  • Akamas integration with Micro Focus LoadRunner
    Video
    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…

    Read more
  • Collaborative Filtering: the new state-of-the-art for compiler autotuning
    Industry Report
    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…

    Read more
  • Beware: lowering GC time may not lead to better application performance
    Blog
    Beware: lowering GC time may not lead to better application performance

    One of the most established approaches to improving Java application performance is to tune JVM options, in particular Garbage Collector…

    Read more
  • Delivering high-quality SaaS services at lower cloud cost and carbon footprint
    Case Study
    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…

    Read more
  • Autonomous Optimization for Kubernetes applications
    Solution Brief
    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…

    Read more
  • Autonomous Optimization for Apache Spark
    Solution Brief
    Autonomous Optimization for Apache Spark

    The big data analytics market is growing fast, driven by the rapid increase in volume and complexity of enterprise data…

    Read more
  • Faster apps, lower bills: optimizing travel search in the cloud
    Case Study
    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…

    Read more
  • Autonomous Optimization for the Cloud
    Solution Brief
    Autonomous Optimization for the Cloud

    Application-level optimization in the cloud requires AI-powered, full-stack optimization, not just infrastructure-level predictions. Companies are embracing the cloud looking for…

    Read more
  • Autonomous Performance Optimization for Java
    Solution Brief
    Autonomous Performance Optimization for Java

    Many of the world’s mission-critical applications run on Java and, for many years, companies have relied on Java as the…

    Read more
  • Capacity planning for Java applications – how to deal with GC hidden bottlenecks
    Industry Report
    Capacity planning for Java applications – how to deal with GC hidden bottlenecks

    Java automatic memory management provides safety and development efficiency, but also adds further challenges for Performance Engineers and Capacity Managers….

    Read more