Optimising Multi-Cloud CI/CD for Scalability
Practical strategies to build scalable, cost‑efficient multi‑cloud CI/CD using IaC, Kubernetes, GitOps, observability and policy‑as‑code.
Read moreBlog posts in the Cloud Optimization category
Practical strategies to build scalable, cost‑efficient multi‑cloud CI/CD using IaC, Kubernetes, GitOps, observability and policy‑as‑code.
Read moreCompare leading APM tools, features and pricing to pick the right observability stack with OpenTelemetry, distributed tracing, AI detection and database visibility.
Read moreHow cloud region choice affects pricing, performance and compliance, plus practical ways to cut costs by optimising workload placement, instance types and data transfers.
Read moreGuide to 10 essential multi-cloud metrics — latency, throughput, error rate, CPU/memory, auto-scaling, network and disk I/O, availability — with measurement tips.
Read moreReal-time monitoring detects CI/CD failures instantly, enables canary rollbacks, reduces change failures and speeds troubleshooting for more reliable deployments.
Read moreGuide to safe Istio canary rollouts: traffic splitting, monitoring with Prometheus/Grafana, automation with Flagger/Argo, and rollback tactics.
Read moreCompare Savings Plans and Reserved Instances to see which reduces AWS compute costs—flexible spend-based discounts vs fixed-capacity reservations.
Read moreDefine, measure and automate cloud cost KPIs—tagging, unit economics, baselines, forecasts and governance—to reduce waste and improve financial clarity.
Read moreLabel workloads, deploy OpenCost or Kubecost, set quotas and dashboards to attribute and reduce cloud spending in multi-tenant Kubernetes clusters.
Read moreEnforce and automate compliance across AWS, Azure and GCP using Policy-as-Code, IaC scanning, centralised monitoring and automated remediation.
Read moreCompare scale-up and scale-out in private clouds — pros, limits, costs and when to use vertical, horizontal or a hybrid approach.
Read morePublic vs private hosting for disaster recovery: compare costs, RTO/RPO trade-offs, scalability and hidden fees to pick the right DR model.
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