Automated Provisioning using HELM charts on Kubernetes
summary
Shows building a Docker image (tagged apdays web app) from a GitHub repo serving a static nginx page, running it locally, on OpenShift, AWS Fargate and GKE Autopilot, then packaging the same resources as a Helm chart and deploying with helm install gateway and helm uninstall to prove repeatability. Claims: move from 12‑week VM provisioning to seconds/minutes, use Kubernetes pods, control‑loop self‑healing and autoscaling, and vendor charts that deploy multiple objects (gateway, Elasticsearch, Kibana) reliably across environments.
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chapters (20)
- 0:00Intro
- 1:20Wizard-driven manual installation
- 2:1720 years of provisioning - From Hypervisors to Hyperscalers
- 5:05From old ways to the new ways...
- 5:38Monoliths Microservices Function as a Service (FaaS)
- 6:03Different architectural styles focused different objectives
- 8:13Scale up vs. Scale out
- 19:33Problem Statement-NoN compatibility nightmare
- 20:08How we ran the applications in Traditional IT?
- 21:16Results in NXN compatibility nightmare
- 22:18Shipping containers for code
- 24:08How does container compare with VMS? - Think efficiency
- 24:49Benefits of Containerization
- 25:52Docker Compose
- 28:13Kubernetes = Container Orchestrator
- 28:36Kubernetes = Fault-Tolerant. Self-healing, Control Loop
- 31:58HELM Package Manager for Kubernetes Applications
- 35:34Cost efficiencies + Speed and Scale
- 35:46Are you ready to building antifragile systems?
- 36:29GitHub References
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