Container: check! Aber wohin mit Persistent Data, Big Data oder Fast Data?!
summary
Claim: run containerized microservices and big‑data tools on one cluster with real persistent storage and schedulers. Uses Mesosphere DC/OS with Marathon for orchestration, persistent volumes for local‑disk performance, and Zeppelin + Spark for analysis. Demo deploys a MySQL + Spring service from Docker Compose onto DC/OS, scales to 20 instances, uses health checks and rolling/canary upgrades, and reports cluster CPU ~90%. Text analysis shows “Chuck” ~4,500 hits, “kick” ~160 and “face” ~150.
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chapters (12)
- 0:00Start
- 2:27SERVICE ORIENTED ARCHITECTURE
- 4:01MICROSERVICES
- 5:55CONTAINER SCHEDULING
- 6:26RESOURCE MANAGEMENT
- 6:46SERVICE MANAGEMENT
- 7:02CONTAINER ORCHESTRATION
- 9:02DATA PROCESSING AT HYPERSCALE
- 11:06STREAM PROCESSING
- 15:11THE BIRTH OF MESOS
- 16:39APACHE MESOS
- 20:15STORAGE OPTIONS
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