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VERSION:2.0
PRODID:-//DevOpsChat//Events//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
UID:01a1989d-2ca1-7180-9c8c-897c7cdda564@www.devopschat.co
DTSTAMP:20261106T184053Z
DTSTART:20191113T180000Z
DTEND:20191113T190000Z
SUMMARY:Kubernetes: API Gateway Traefik\, fault detection\, Helm/GitOps blu
 e/green deploys
DESCRIPTION:----------------------------------------------------------\nSch
 edule:\n📍 6:00pm: Registration / Check-in / Pre-event Networking / Food
  & Drinks\n📍 6:20pm: Welcome/Intro - Garland Kan (ManagedKube)\n-------
 ---------------------------------------------------\n📍 6:30pm: Easy Rou
 ting in Kubernetes with Traefik for Application Delivery\n\n(Emile Vauge i
 s founder and CEO at Containous and the creator of Traefik. He has more th
 an 10 years experience developing applications for both the web and indust
 rial uses. He loves containers\, orchestrators and gophers.)\n\nIn a world
  of containerized microservices where developers focus on building and exp
 osing to end user their applications\, operating containers with Kubernete
 s can be challenging. Routing requests to your microservices\, either comi
 ng from end users or other microservices is one of these challenges.\nIt a
 lso provides great business value by allowing developers to expose new fea
 tures in production using Canary\, or Blue / Green.\n\n-------------------
 ---------------------------------------\n📍 7:00pm: Zero touch fault det
 ection for Kubernetes\n\n(Larry Lancaster\, Founder and CTO\, Zebrium\, Bi
 o: Larry is the founder and CTO of Zebrium. He started Zebrium with the vi
 sion that machine learning could be used to automatically detect software 
 problems by structuring and learning patterns in logs and metrics. Before 
 Zebrium\, Larry was Chief Data Scientist at Nimble Storage\, founding that
  company's data science team and architecting/implementing their peta-scal
 e platform for automation and analytics. He also started NetApp's Engineer
 ing Informatics Group as Senior Engineer\, invented Glassbeam's ETL-focuse
 d SPL technology as CTO/Co-Founder\, and received a leadership award from 
 the International Congress on Neural Networks as graduate student.)\n\nIt'
 s really hard to build and maintain a monitoring system for an app that ru
 ns in a distributed Kubernetes deployment. At best it will catch issues an
 d symptoms you have designed it to find\, but it will take a lot of effort
  and won't find "unknown" new issues. Learn about and see a demo that uses
  machine learning on logs to reliably detect software faults without requi
 ring human input.\n\nhttps://www.devopschat.co/meetings/kubernetes-api-gat
 eway-traefik-fault-detection-helmgitops-bluegreen-deploys
URL:https://www.devopschat.co/meetings/kubernetes-api-gateway-traefik-fault
 -detection-helmgitops-bluegreen-deploys
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