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  • pdf文档 Intro to Prometheus - With a dash of operations & observability

    Background Operations & observability Outro Toil ”Toil is manual, repeated work with no lasting benefit which scales linearly with your service” If teams are busy firefighting, they don’t have time to engineer it’s not an alert Important but non-urgent incidents are handled during business hours Predict your usage so you add capacity during business hours If there’s no playbook, it does not go into production Global SLO statements for sales Usage exports for accounting If all you have is a hammer... choose your hammer well Richard Hartmann & Frederic Branczyk @TwitchiH & @fredbrancz Intro to Prometheus Introduction
    0 码力 | 19 页 | 63.73 KB | 1 年前
    3
  • pdf文档 OpenMetrics - Standing on the shoulders of Titans

    @TwitchiH OpenMetrics Introduction Quick intro OpenMetrics Outro People Acknowledgements Main work has been done by Prometheus team Ben Kochie Brian Brazil myself Google Sumeer Bhola Uber Jerome FLOSS and industry Broadening designer base ensures covering of many/all use cases Official standard (work in progress) IETF RFC Registered content-type/MIME-type Maybe IANA port assignment Richard Hartmann Prometheus: experimental support since 2.5.0 Python client library: experimental support since 0.4.0 Test your own OM output: robustperception.io/checking-openmetrics-output-is-valid Google and Uber want to create
    0 码力 | 21 页 | 84.83 KB | 1 年前
    3
  • pdf文档 Prometheus Deep Dive - Monitoring. At scale.

    others We now have a stable-ish remote read/write API Twelve integrations for this API Ongoing work to send write-ahead-log over the wire to fill gaps Richard Hartmann & Frederic Branczyk @TwitchiH
    0 码力 | 34 页 | 370.20 KB | 1 年前
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