Elastic for Operational Analytics

From scrappy startups to giant telecoms, companies of all shapes and sizes are using the Elastic Stack for getting value from their operational logs and metrics. We will kick off this session with the Elastic perspective on log and metrics analytics, followed by a product overview, and then wrap up with a demo.

In this demo, we step into the shoes of a DevOps person who has received an email that website search is performing poorly in a certain geo. Join us on this journey through logs and metrics as we track down the problem.

    Highlights include:
  • Search & drill downs via Kibana
  • Tracking anomalies using Machine learning
  • Alerting on changes in the Elastic Stack
  • Monitoring the Elastic Stack
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Dale McDiarmid

Dale McDiarmid is a member of the Product Marketing team focusing on technical content for Elastic. Prior to his current role, Dale was a member of the Consulting team at Elastic after spending nearly a decade in the Enterprise Seach space. Most recently he worked for several Enterprise Search vendors, before falling in love with opensource.

Jamie Smith

Jamie Smith is a member of the Product Marketing team, focusing on field enablement and use cases. Most recently Jamie was a Solutions Architect at Apcera, helping customers containerize legacy applications, with additional focus on IoT and connected vehicles