CloudServices/DataPipeline

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Revision as of 23:39, 21 February 2015 by Kparlante (talk | contribs) (→‎Reporting and tools: --bespoke dashboards)
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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), custom dashboards for cloud services projects, and the Telemetry server.

Team Communication

Cross Team Communication

Resources

Pipeline specs/docs

Reporting and tools

Planning

Pipeline Milestones

  • Q1 2015: Launch pipeline prototype
    • Architecture decisions completed; production stack up and running with monitoring dashboards
    • 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
    • FHR v4 feeds executive dashboard
    • 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 and Schedules

  • FHR+Telemetry client work
    • Current plan: FF38
    • 2015-02-23 Nightly
    • 2015-03-30 Aurora
    • 2015-05-11 Release

Work Queue

Tracking tasks in bugzilla: http://mzl.la/1DOOBZt

Risks and Open Questions

  • Old-FHR data through pipeline? Yes/No: [telliot]
  • Deletes & legal policy [telliot]

Code

Archive