Cloud Operations Quick Reference
April 24, 2026
A compact reference for cloud models, architecture, automation, monitoring, security, recovery, and troubleshooting.
Service and deployment models
| Need |
Typical model |
| Control of OS and middleware |
IaaS, with greater customer operating responsibility |
| Managed application runtime |
PaaS |
| Complete business application |
SaaS |
| Owned infrastructure or special placement needs |
Private cloud or hybrid design |
| Elastic capacity and managed services |
Public cloud |
Architecture and deployment
| Goal |
Practical pattern |
| Availability |
Separate failure domains and validate failover |
| Scale |
Horizontal scaling, load balancing, autoscaling, and stateless design where appropriate |
| Repeatability |
Infrastructure as code, version control, review, and rollback |
| Drift control |
Desired state, policy, configuration management, and drift detection |
| Secure release |
Tested CI/CD, staged deployment, approval, and rollback |
| Secure secrets |
Managed secret store, restricted identities, rotation, and audit |
Operations and recovery
| Symptom or objective |
Useful first check |
| Slow application |
Saturation, latency by tier, storage I/O, network path, and recent changes |
| Unavailable service |
Health checks, DNS, load balancer, workload status, dependencies, and policy |
| Unexpected cost |
Utilization, idle capacity, storage tier, data transfer, and commitments |
| Failed backup |
Schedule, identity, target, retention, and restore-test evidence |
| Capacity warning |
Trend, quota, autoscaling limit, reservation, and forecast |
| RTO / RPO |
Required restoration time / allowed data-loss interval |
Gather logs, metrics, traces, alerts, and change records before making a broad change. Validate both the user-visible service outcome and the recovery path after remediation.
Revised on Friday, September 11, 2026