How Spot Instances Reduce Multi-Cloud Costs
Spot instances can cut multi‑cloud compute costs by up to 90% using spare capacity, automation and a mixed capacity strategy while managing interruption risk.
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Blog posts in the Cloud Optimization category
Istio Service Mesh: Testing Best Practices
Guide to testing a service mesh: validate configs, verify traffic routing and resilience, use observability, benchmark performance and add checks to CI/CD.
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Optimising Data Analytics with Spot Instances
Cut cloud analytics costs up to 90% by running fault‑tolerant workloads on spot instances while protecting data with external storage and mixed on‑demand strategies.
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Open Source vs Proprietary CI/CD: Cost Comparison
Compare total cost of ownership for open-source and proprietary CI/CD — licensing, infrastructure, maintenance, and when each option saves UK teams money.
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5 Metrics to Measure CI/CD Performance
Five CI/CD metrics—deployment frequency, lead time, change-failure rate, MTTR and pipeline duration—to spot bottlenecks, cut costs and boost developer productivity.
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Ultimate Guide to VPNs for Hybrid Cloud Security
Secure hybrid cloud networks with VPNs: IPsec best practices, Site-to-Site and Remote Access setups, AWS/Azure integration, BGP failover, encryption and cost control.
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How to Build Multi-Cluster CI/CD for Hybrid Clouds
Practical guide to GitOps-driven multi-cluster CI/CD on hybrid clouds: topology, networking, IaC, secrets, observability and cost optimisation.
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Vulnerability Management KPIs: Case Studies and Insights
How to measure vulnerability programmes: key KPIs (MTTD, MTTR, patch latency), case studies and best practices for risk-based prioritisation and faster remediation.
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Integrating FluxCD with CI/CD Pipelines: A Guide
Connect FluxCD to CI pipelines: bootstrap Flux, secure Git access, enable image automation, and validate GitOps deployments for Kubernetes.
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VPA Best Practices for Kubernetes Clusters
VPA best practices for Kubernetes: install, modes, resource policies, monitoring, and integrating with HPA/Cluster Autoscaler to reduce waste and stabilise workloads.
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AI in DevOps: Reducing Recurring Incidents
AI reduces recurring DevOps incidents with predictive alerts, automated root-cause analysis, alert deduplication and self-healing.
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AI in Multi-Cloud Resource Optimisation
AI reduces multi‑cloud costs, automates rightsizing and governance, and boosts performance with predictive scaling and unified workload orchestration.
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