Rolling Deployment in Kubernetes: A Quick Guide
Practical guide to safe Kubernetes rolling deployments: set probes, handle SIGTERM, tune maxSurge/maxUnavailable, monitor and rollback.
Read moreBlog posts in the Cloud Optimization category
Practical guide to safe Kubernetes rolling deployments: set probes, handle SIGTERM, tune maxSurge/maxUnavailable, monitor and rollback.
Read moreSix core metrics—latency, traffic, UX, uptime, capacity and cost—with thresholds and standard labels for consistent multi‑cloud monitoring.
Read morePractical guidance on structuring Terraform for multi-cloud: split state, simple modules, secure identities and cost controls.
Read morePractical steps to reduce video CDN bills: optimise cache keys and TTLs, add origin shielding, tune encoding/ABR, use multi‑CDN routing and monitor £/GB.
Read moreManaged testing is faster to start, but deeper control needs more setup — benchmark at multiple load levels with the same external tool.
Read moreDon’t pick the cheapest cross-cloud path unless it meets latency, throughput and reliability—egress costs and instability add up fast.
Read moreUse hybrid cloud segmentation to separate production, secure regulated data, limit lateral movement and protect app performance.
Read moreClear guide to PAYG cloud billing in £: how usage is metered, when PAYG fits, cost risks and controls like tagging and rightsizing.
Read moreSave 40-70% by using serverless control with Spot compute for interrupt-tolerant batch, media and ML workloads.
Read moreSidecar proxies, Prometheus, tracing and logs reveal service-to-service traffic, pinpoint slow hops and diagnose errors without app changes.
Read moreCompare how public cloud cuts live usage spend while private cloud boosts utilisation and lowers long‑term unit costs.
Read moreCompare mesh runtime cost, latency and features to choose the lightest option that meets your security, routing and observability needs.
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