Cloud service map
Choose the responsibility the workload is missing.
Cloud work often spans several responsibilities, but each has a different completion boundary. Beginning with the missing responsibility prevents a migration, platform, security tool, managed contract, or cost exercise from being asked to solve the wrong problem.
01When the consequential decision is still open
Cloud consulting
Compare workload, service model, deployment model, provider, architecture, responsibility, migration, security, resilience, cost, skill, lock-in, and exit choices against an observed baseline.
- Workload placement
- Architecture decision
- Cloud operating model
02When the safe delivery boundary is missing
Cloud infrastructure setup
Establish accounts, identity, policy, networks, environments, configuration, secrets, logging, monitoring, delivery, backup, recovery, cost controls, and ownership as a reproducible foundation.
- Account baseline
- Identity and network
- Infrastructure as code
03When workloads must change environment
Cloud migration
Map applications, data, identities, integrations, dependencies, service levels, provider responsibilities, cutover, validation, recovery, stabilization, and source retirement across bounded waves.
- Dependency map
- Migration wave
- Cutover and recovery
04When managed capabilities improve the product
Cloud-native development
Build applications around useful managed primitives, automation, observable service boundaries, failure handling, data authority, scaling, delivery, security, cost, and portability without needless platform complexity.
- Managed runtime
- Event-driven service
- Platform-aware application
05When exposure or control evidence is weak
Cloud security
Clarify shared responsibility and improve identity, access, configuration, network, workload, data, secrets, logging, detection, response, recovery, supply-chain, and assurance controls.
- Access boundary
- Configuration control
- Detection and response
06When post-launch operation lacks ownership
Managed cloud
Operate agreed cloud layers through service boundaries, monitoring, incidents, changes, maintenance, capacity, recovery, security, cost, reporting, escalation, and continuous improvement with named ownership.
- Service operation
- Incident and change
- Operational reporting
07When evidence shows avoidable waste or risk
Cloud infrastructure optimization
Reduce measured cost, fragility, performance bottlenecks, capacity risk, operational toil, and provider dependence through reversible changes that preserve service, security, recovery, and product value.
- Usage and rate
- Reliability treatment
- Performance and capacity