Resources

Akamas Resource Library

The State of Cloud Native Optimization 2026
Blog
The State of Cloud Native Optimization 2026

A critical realization has emerged within the platform engineering community: while the industry has excelled at creating golden paths to…

  • Coverage initiation: “Akamas promises full-stack optimization with goal-oriented ML”
    Industry Report
    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…

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  • Java application throughput, response time, and cost: how to optimize
    Blog
    Java application throughput, response time, and cost: how to optimize

    Developers and system owners usually take for granted that there are some intrinsic tradeoffs in the Java design. For example,…

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  • 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…

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  • 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…

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  • 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 improve Java application performance is to tune JVM options, in particular Garbage Collector…

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  • 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…

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  • 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…

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  • 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…

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  • 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…

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  • 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…

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