Conference Programme 2020

IMAGE

Loading

Using AI/ML to automate CI/CD

11 Mar 2020
Theatre 13
New trends: AIOps, ML and DataOps

To achieve true Continuous Delivery teams need to leverage end-to-end automation across their deployment pipelines and tooling. Deployment health checks today involve someone pinging the production app and saying "yep, app is still up, everything is OK". In short, availability = success. In reality, availability != success and the only way to get a true measure is to have multiple engineers sniff test production by grep'ing logs or looking at monitoring charts. Its not unusual for teams to have 4-5 engineers spend 60-120 mins per deployment to make sure everything is OK. What if AI/ML could automate this process?

Speakers
Oliver Rees, Senior Sales Engineer - Harness

Latest News

Sponsors

Gold Sponsor

  • NTT
  • OVHcloud
  • Acronis
  • Ionos
  • platform.sh
  • stack overflow
  • t-systems

 

DevOps Theatre Sponsor

  • Gitlab

 

Stream Sponsor

  • megaport
  • nutanix
  • Densify

 

Silver Sponsor

  • Amito

 

Silver Sponsor

  • Enimbos
  • Cobweb
  • saagie
  • cto.ai
  • giacom
  • LeanIX

 

Silver Sponsor

  • Aqua Security
  • opsramp
  • spotlnst
  • too many clouds

 

Silver Sponsor

  • Interlink

Silver Sponsor

  • Appvia

 

Silver Sponsor

  • Uniscon
  • Quali
  • nordcloud
  • mac stadium

 

Stream Sponsor

  • megaport
  • densify
  • Stack State

 

Lead Sponsor

  • oracle

 

Managed Cloud Sponsor

  • uk fast

Headline Sponsor

  • IBM

 

Partners

Media Partner

Media Partner

Event Partner

Media Partner

Media Partner


 

Media Partner

Media Partner


 

Media Partner


 

Media Partner


 

Media Partner


 

Media Partner


 

Media Partner


 

Media Partner