Custom IAM for Hybrid Cloud: Benefits
Unified identity for cloud and on‑premises: apply Zero Trust, centralise audits, enable SSO and control service accounts.
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Blog posts in the Devops Management category
How FinOps-as-Code Simplifies Cloud Cost Governance
Shift cloud cost checks into Git and CI/CD so teams catch waste in pull requests, tune policies, and enforce tagging.
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Best Practices for Multi-Cluster Service Mesh
Checklist for topology, trust, routing and observability to secure and run Istio multi-cluster meshes with failover and cost controls.
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Continuous Delivery for Agile Teams: Guide
Keep every change release-ready: build once, test early, promote the same artefact, gate production and measure bottlenecks.
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How To Measure DORA Metrics
Track Deployment Frequency, Lead Time, Change Failure Rate and Time to Restore Service using SCM, CI/CD and incident data with automated baselines.
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How to Optimise Multi-Cluster Kubernetes Costs
Cut multi-cluster Kubernetes spend with visibility, consolidation, rightsizing, spot instances and automated governance.
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High Availability Patterns: Active-Active vs. Active-Passive
Active-Active offers near-zero downtime; Active-Passive reduces cost. Compare uptime, RTO/RPO, failover speed and when to use each.
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Service Mesh Multi-Tenancy Patterns Explained
Namespace, vCluster or separate clusters — choose the service-mesh multi-tenancy pattern that balances cost, security and compliance.
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Ultimate Guide to Multi-Cloud Latency Management
Practical strategies to reduce latency across AWS, Azure and GCP: region choice, private links, monitoring, routing and caching.
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Multi-Cluster GitOps with Workflow Orchestration
Use GitOps plus workflow orchestration to deploy and govern multiple Kubernetes clusters, ensure compliance and cut cloud costs.
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Graceful Degradation in Microservices: Key Patterns
Keep core microservice functions running during failures using circuit breakers, fallbacks, timeouts, bulkheads and async workflows.
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Economic Models for Long-Term Cloud Cost Planning
Use driver-based models, unit economics and TCO to reduce cloud forecast variance and align costs with business metrics.
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