Fireside Chat: ClearPath to Deep Dive into Container Data
summary
Survey finds growing container use but shallow deployment: overall adoption edges up while broad rollouts stay flat, with many orgs still in POC/trial stage (early-stage share rises from ~22% to ~35%). Workloads split between cloud‑native microservices and legacy Java (Java dominates; C++ shows notable presence). Nearly half manage containers via platform-as-a-service (self- or provider-managed), only ~11% use self-managed orchestration; Kubernetes awareness is high but true scale adoption remains limited in this sample.
AI-written summary · about
chapters (10)
- 0:00Introduction and welcome
- 2:30Research methodology overview
- 5:40Container adoption trends
- 8:52Cloud native vs legacy workloads
- 10:36Container workloads breakdown
- 12:20Enterprise container strategies
- 14:45Language use in containers
- 17:15Container orchestration tools
- 20:06Q&A session begins
- 23:57Final Q&A and closing
related talks
30mDevOps For Data Teams
19mModern Data Science in a Cloud Native World
26mDataOps: Accelerating Digital Transformation
48mBecoming a Data Head, a reflection on the trade offs and decision
33mData: The Land DevOps Forgot
16mPurposeful Transformation With Data-Driven Decisions
31mIntroduction to Data Visualisation
35mCloud Native Landscape Deep Dive
