Published: 12 April 2019
Summary
Hybrid IT is the new normal. Now I&O leaders must govern a mix of data center, public cloud and edge servers, while curating a growing catalog of compute styles including containers and serverless. Automation must boost compute agility for emerging digital workloads, and I&O should build AI skills.
Included in Full Research
- Future State
- Compute Location Is Chosen per Application by Business Need, With No I&O Bias Toward On- or Off-Premises
- Automation Shifts From Improving Operational Efficiency to Enabling Business Agility
- Hyperconverged Is Used Across Most Workload Categories
- Intelligent Infrastructure Enables Cost-Efficiency and Agility for Complex On-Premises Workloads
- I&O Curates a Developer-Friendly Compute Service Catalog Including Containers and Serverless
- Specialized Infrastructure Is Used to Support Specific Business-Driven Initiatives in AI and at the Edge
- Current State
- Most Compute Is On-Premises, Supplemented by Separate Silos of Managed Services and Public Cloud
- Automation Is Focused on Infrastructure Provisioning, Patching and Workload Placement, and Is Driven by Decision Trees and Custom Scripts
- Hyperconverged Is Deployed for Targeted Use Cases
- App Developers Are Pressuring I&O to Quickly Enable Container Production Environments
- Where Present, AI Compute Infrastructure Is Burdened by High Cost and Missing Skills
- Risk Aversion and Limited Modernization Options Keep in Place Dedicated Infrastructure for Customized Legacy Applications
- Gap Analysis and Interdependencies
- Tools and Processes for Consistent Governance and Resilience Across Hybrid IT Are Immature
- Widening Gap Between CIO Expectations and I&O Delivery of Agility and Digital Transformation
- Staff Skills With Containers, Serverless, Edge Computing and AI/ML Are Missing and Hard to Find
- Migration Plan
- Higher Priority/First
- Medium Priority/Second
- Lower Priority/Third