Key Metrics for Multi-Cloud Application Monitoring
Six core metrics—latency, traffic, UX, uptime, capacity and cost—with thresholds and standard labels for consistent multi‑cloud monitoring.
Read moreBlog posts in the Cost Management category
Six 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 moreDon’t pick the cheapest cross-cloud path unless it meets latency, throughput and reliability—egress costs and instability add up fast.
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 moreCompare how public cloud cuts live usage spend while private cloud boosts utilisation and lowers long‑term unit costs.
Read moreTight access, versioned configs and progressive rollouts cut deployment risk and cloud spend.
Read moreStandardise telemetry, alert on user impact, trace critical flows and control telemetry volume to get observability working at scale.
Read moreLink elastic cloud spend to teams using time-based usage, simple allocation rules, enforced tags and automated invoice reconciliation.
Read moreScore change risk, schedule by risk, use staged rollouts, rehearse rollback and monitor live metrics to keep releases safe.
Read moreScale Kubernetes on real demand using event signals, cut idle compute with scale-to-zero, and avoid cold starts and flapping.
Read more