How to Analyse Cloud Resource Utilisation
Measure CPU, memory, storage and network over 60–90 days, align monitoring with billing and tags, then act to remove idle cloud spend.
Read moreBlog posts in the Cost Management category
Measure CPU, memory, storage and network over 60–90 days, align monitoring with billing and tags, then act to remove idle cloud spend.
Read moreAI matches workloads to on‑demand, reserved and spot pricing to cut cloud waste while protecting performance and control.
Read moreTreat isolation, quotas, autoscaling and cost reporting as one system to safely run shared Kubernetes clusters.
Read moreStandardise CI/CD with reusable templates, policy-as-code and cost controls to cut pipeline chaos, speed releases and reduce cloud spend.
Read moreTagging only works for cost allocation when simple, enforced and tied to finance: small schema, automation and mapped cost centres.
Read moreBuild once and deploy the same artefact across AWS, Azure and GCP using Kubernetes, Terraform, GitOps and short‑lived identities.
Read moreCompare one-time cloud cost assessments with recurring audits to pick the right model for control, governance and saving over time.
Read moreLink DORA metrics to revenue, cost and risk with shared tagging, unit costs and finance-aligned dashboards.
Read moreAutomate tags, billing exports and allocation rules so every pound is assigned, unallocated spend drops and AAI reaches finance-grade 95%+.
Read moreMeasure service mesh CPU, memory and telemetry overhead, convert deltas to monthly £ and reduce costs by scope, proxy and telemetry tuning.
Read moreStandardise telemetry, cut log costs and noisy alerts, and speed incident diagnosis across hybrid cloud with a custom observability layer.
Read moreAutomation alone won’t cut it — choose tools that match your cloud mix, buying process and finance controls to maximise commitment savings.
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