Changing the Game in Open Data with a Container Infrastructure
summary
Platform runs as OpenShift container images hosting CMS, CKAN, dashboards, maps, LimeSurvey and data-analysis pods; frontend uses Drupal and the stack uses vanilla ETL/BI + Keycloak for ingestion, dashboards and auth. Deployment history: single server → Proxmox VMs → Docker images → OpenShift; result is real‑time ingestion (bike availability updated every five minutes) and the ability to deploy new instance in under 10 minutes. Uses OVH hosting and Gravitee-style API gateway; OKD cost drives evaluation of plain Kubernetes.
AI-written summary · about
chapters (8)
- 0:00Introduction to Open Data
- 3:13Open Data Architecture Overview
- 5:00Evolution to Container Infrastructure
- 7:06OpenShift Deployment Benefits
- 10:38Platform Success and Features
- 14:10Real-World Applications and Dashboards
- 15:14Cost and Scalability Considerations
- 16:40Future with Kubernetes
related talks
28mOpening Keynote
18mOpen Hybrid Cloud & AI Developer Experience
33mBuilding Shopify's PaaS on Kubernetes
46mKeep Building Fresh: Shopify's Journey to Kubernetes
42mCase Study: Using Drupal as a Back-End for Japan's Digital Government
34mContainer Hosting Journey
17mAlexandre McLean, Ubisoft | KubeCon + CloudNativeCon Europe 2020 – Virtual
01h 00mBuilding Cloud-Native Applications
