Events

AIOps: Observability + Machine Learning + Automate Everything You Can - devopsdays Seattle 2021

devopsdays.org

“See Problems as They Occur” is the 1st Principle of Feedback in the DevOps Handbook. Reducing operational risk, seeing problems as they occur, and continuously improving IT systems and applications requires making them Observable. But achieving Observability means generating more data than people can reasonably handle. How can we enhance visibility when there is just too much we need to see? Enter the DevOps mantra…

Visit Site

Listing
Alan Koch - devopsdays Seattle 2021devopsdays.org Alberto Domínguez - devopsdays Medellín 2021devopsdays.org Alanna Burke - devopsdays Texas 2021devopsdays.org Alan Koch - devopsdays Raleigh 2021devopsdays.org 193 Easy Steps to DevOpsing Your Monolith - devopsdays Seattle 2019devopsdays.org 17 Metrics to Accelerate Delivery without Damaging Culture - devopsdays Buffalo 2021devopsdays.org Breaking down common documentation mistakesMintlify 10 best AI observability tools for monitoring and evaluating agents in 2026Mintlify Calling Your Video Game With Your Phone: Part 1Deepgram The Best (and Worst?) of Voice AI TechnologyDeepgram Automate Audio Transcription with Zapier + DeepgramDeepgram How to Conduct an AI Agent Security Audit [+ Checklist]Zapier How to implement AI training for employeesZapier Customer.io Automatically Standardizes Form Submissions for ReportingZapier Workato integrations: What's included and when to use ZapierZapier 5 ways to automate Browse AIZapier 7 ways to use Zapier's Zendesk integrationZapier How to connect Google Sheets to NotionZapier How CoverDoc uses AI to revolutionize cover letter writingZapier How Argo CD and OpenShift Enable GitOps for DevelopersThenewstack