As modern applications grow in complexity, traditional observability solutions can be costly, rigid, and limiting. This report explores a new approach--disaggregated, modular observability stacks that offer flexibility, cost efficiency, and data autonomy. Authors Peter Corless and Neha Pawar provide engineering teams with a blueprint for designing tailored observability solutions using the best open source tools for data collection, storage, querying, and visualization. Written for data engineers, DevOps professionals, and observability architects, this guide breaks down how to replace proprietary observability platforms with modular components that reduce vendor lock-in and optimize resources. Whether you're focused on cutting costs, improving scalability, or increasing control over your data, this report will help you build a modern observability stack that aligns with your organization's needs. Understand the advantages of modular versus monolithic observability stacks Get in-depth design guidance using best-of-breed open source tools Optimize costs while maintaining flexibility and scalability Gain practical insights for implementing a modern observability system.


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    Title :

    Open source observability : disaggregating the observability stack for scale, cost, and flexibility


    Contributors:

    Published in:

    Edition :

    [First edition].


    Publication date :

    2025


    Size :

    1 online resource (62 pages)


    Remarks:

    Campusweiter Zugriff (Universität Hannover) - Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots.
    Online resource; title from title details screen (O’Reilly, viewed April 28, 2025)


    Type of media :

    Book


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629.8/312



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