Insights library
Understand the decision behind the technology.
Explore the context, compare approaches and work through the practical questions facing your IT team.
Cloud & Infrastructure · Practical guide
Cloud resilience tests should include the services needed to recover
Test identity, DNS, scaling and recovery access alongside running workloads, using bounded failure scenarios and user-visible acceptance criteria.
Data & AI · Analysis
AI productivity: faster output is only half the business case
An AI pilot proves its value when faster production improves the whole workflow. Count review, rework and the work that actually gets done with the time released.
Data & AI · Analysis
Conflicting dashboards: agree what an active customer means
Resolve conflicting dashboard numbers by agreeing the decision, population and time basis, then make the approved definition reproducible across tools.
Cloud & Infrastructure · Comparison
Kubernetes or managed application services: price the operating work
Compare AKS and Azure Container Apps through workload requirements, retained operating tasks and incident ownership before committing your platform team.
Data & AI · Practical guide
Human approval for AI must control the action that actually executes
Place approval before a consequential AI action, bind it to the exact proposal and test changed inputs, expired consent, retries and emergency stops.
IT Operations · Practical guide
Incident review actions should change the next failure
Build a reliability backlog from incident findings, with actions that have an owner, a reason to take priority and a test of the intended improvement.
Data & AI · Practical guide
Data deletion is a workflow across copies, holds and restores
Turn an approved retention policy into a deletion workflow that covers exports, legal holds, backups and restored data, with clear evidence of what remains.
Cloud & Infrastructure · Practical guide
A cloud exit plan should prove the service works somewhere else
Test exports, replacement workflows, operating responsibilities and cutover before renewal. Free data transfer does not make a cloud service portable.
Data & AI · Decision guide
Enterprise AI data controls: approve the feature, not just the provider
Training restrictions, retention and customer logging answer different questions. Check the actual AI service, enabled features and configuration before approval.
