1d ago · 10 min read · TLDR: Serverless is strongest for spiky asynchronous workloads when cold-start, observability, and state boundaries are intentionally designed. TLDR: Serverless works best for spiky, event-driven workloads when you design for idempotency, observabili...
Join discussion1d ago · 13 min read · TLDR: Infrastructure as code is useful because it makes infrastructure changes reviewable, repeatable, and testable. It becomes production-grade only when module boundaries, state locking, GitOps flow, and policy checks are treated as operational con...
Join discussion1d ago · 13 min read · TLDR: Cloud scale is not created by sprinkling managed services around a diagram. It comes from isolating failure domains, separating coordination from request serving, and smoothing bursty work before it overloads synchronous paths. TLDR: Cloud patt...
Join discussion2d ago · 5 min read · When AWS introduced AWS DevOps Agent, I was less interested in feature lists and more interested in one practical question. Can it actually reduce investigation time during real production-style failu
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3d ago · 4 min read · Nobody sets out to waste money on AWS. It creeps in. A dev environment left running over a weekend. An RDS instance sized for peak load that hasn't seen peak load in eight months. An NAT Gateway quiet
Join discussion4d ago · 5 min read · Migrating object storage across cloud providers is not a copy task.It is a cost, network, and security boundary problem. We migrated 10+ TB of object data from Google Cloud Storage to Amazon S3 under
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4d ago · 8 min read · Modern cloud databases fail differently than on-prem systems. Network blips, throttling, failovers, and short-lived transport interruptions are all normal operating conditions now, not rare edge cases
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