CloudServices/DataPipeline

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< CloudServices
Revision as of 21:19, 7 January 2015 by Kparlante (talk | contribs) (Add other projects to the overview)
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Overview

The cloud services data pipeline ingests data for analysis, monitoring and reporting. The pipeline is currently used for processing cloud services server logs. We're in the process of improving it to support desktop and device telemetry data. The data pipeline team also works on Heka (a major component of the pipeline implementation) and custom dashboards for cloud services projects.

Resources

Milestones

  • Q4 2014: Telemetry data running through pipeline
    • Server stack deploy in github ("opsified")
    • Re-implement monitoring dashboards
  • Q1 2015: Launch pipeline prototype
    • Architecture decisions completed; production stack up and running
    • Business Intelligence/Data Warehouse proof of concept implemented
    • Ingestion process completed for FHR+telemetry (start collecting on 2015-02-23)
    • Backprocessing from pipeline datastore implemented
    • Pipeline runs in parallel to existing infrastructure; not yet source of truth
  • Q2 2015: Pipeline officially supports business use cases
    • Complete set of use cases tbd (most likely primarily FHR+telemetry use cases)
    • Complete set of monitoring and reporting outputs tbd: dashboards, data warehouse, monitoring, self-service access to data
    • FHR+telemetry hits full release 2015-05-19, handle full production load
  • Q3 2015: Fill out monitoring and reporting capabilities; add sources and use cases

Related Dates/Schedules

  • FHR+Telemetry client work
    • Current plan: FF39 Nightly and uplifted to FF38. May not hit this schedule, but the pipeline needs to be ready
    • 2015-02-23 Nightly
    • 2015-05-19 Release