Advancing the Data Ecosystem – Insights from a Managed Service Provider
summary
MSPs claim end-to-end value for sovereign cloud by doing assessment, TCO-driven placement, repeatable build and continuous optimization rather than leaving lift-and-shift to hyperscalers. A managed platform with ~200 engineers layers managed Kubernetes on partner bare-metal (NVIDIA GPUs for private AI), integrates GitLab and marketplaces, automates compliance checks and cost controls, and turns 30k/month pilot spend into predictable scaling instead of surprising 300k bills.
AI-written summary · about
chapters (12)
- 0:00Introduction
- 1:05Public cloud challenges
- 3:38Private vs public trade-offs
- 5:00Sovereign cloud benefits
- 6:48Cloud costs and repatriation
- 7:30End-to-end cloud strategy
- 10:02ITQ Cloud Platform vision
- 11:06Sovereign cloud use cases
- 12:54Private AI platforms
- 14:59Customer workload assessment
- 16:49MSP value
- 18:36Q&A
related talks
20mPlatform-First Cloud Transformation
15mEnabling Scalable Data Analytics for Enterprise Success
26mBreaking Free from Hyperscalers: Building Digital Unicorns with IaaS
49mPublic cloud in regulated industry, not just swipe of a cred
31mOn-Prem is the new Black
11mFuture-proof your business to drive growth and transformation
36mPanel Discussion: Leveraging Cloud Native Technology to Transform Your Enterprise
15mCloud infrastructure best pratices in a multinational corporate
