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DevOps Meets Time Series Databases


For far too long, technology teams have lived in silos. Not only physical silos, but cultural silos pushed by competing objectives.

This includes informational silos where business users require one set of data and tech teams require different data. DevOps is intended to bridge these gaps, making tech-driven operations more aligned and efficient.

DBTA recently held a webinar with Sean Mack, CEO and Founder xOps, and Larry Gordon, Chief Revenue Officer xOps, who discuss their experiences working with their clients to deploy the latest tools and implement practices across their organizations.

Their focus has been on developing open source products to revolutionize technical operations by gathering and analyzing all operational metrics, logs, alerts, and business data in one place, in real time with a time series database like InfluxDB.

The challenges business face is an overwhelming, massive amount of data growth, tool proliferation, and increasing information silos, Mack and Gordon explained.

There are three steps to begin utilizing DevOps for data:

  • Determine data sources and reduce duplications
  • Centralize key data
  • Uplevel your data

The Influx platform can help enterprises achieve this goal, Mack and Gordon said.

The platform can:

  • Ingest data from everywhere
  • Efficiently store (compress) data at scale
  • Provide automation and control functions
  • Evict and down-sample data
  • Support real-time query, analysis, and visualization of large data sets
  • Provide time-based functions for “change over time” analysis and control
  • Facilitate machine learning and anomaly detection algorithms
  • Provide streaming analytics for data in motion

Companies should identify and reduce any duplicative data, reduce point solutions where possible, and determine a central data collection and presentation engine, Mack and Gordan said.

An archived on-demand replay of this webinar is available here.


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