Cloud
insights
Filtered field notes for Cloud work, newest first.
Designing Multi-Region Recovery Around RTO, RPO, and Consistency
A practical framework for balancing recovery speed, acceptable data loss, consistency, and operational complexity across cloud regions.
Assessing Dependencies and State Before Containerization
Before containerizing an enterprise system, map its runtime dependencies, persistent state, lifecycle behavior, and recovery responsibilities.
Segmenting Cloud Networks for Services, APIs, and Databases
A practical approach to isolating public services, internal APIs, and databases without making cloud operations unmanageable.
Configuration Management and Secret Sync Across Environments
A practical approach to reducing deployment drift through typed configuration, isolated secrets, controlled promotion, and automated validation.
Early Detection and Ownership for Cloud Cost Anomalies
A practical framework for detecting abnormal cloud spend early, assigning ownership, and turning alerts into safe engineering action.
Moving Batch Jobs to the Cloud: Scheduling, Reruns, and Recoverability
Cloud batch reliability depends on explicit business dates, idempotent execution, controlled retries, auditable reruns, and operational visibility.
Choosing among Cloud Run, Lambda, and container platforms
A practical framework for choosing an execution platform based on workload shape, integration needs, latency, cost, and operational ownership.
Mixing AWS and GCP: Define Network and Billing Boundaries First
A practical guide to routing, DNS, resilience, data transfer charges, and cost ownership in a mixed AWS and GCP architecture.
Cost Traps in Serverless Architectures, and How to Avoid Them
Serverless can reduce operational work, but cost control still depends on workload shape, boundaries, observability, and governance.
AWS or GCP for Taiwan SMEs: A Practical Engineering View
A practical comparison of AWS and GCP for Taiwan SMEs, covering latency, data residency, AI services, cost, and operations.
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