Automation | Hokstad Consulting

Automation

Blog posts in the Automation category

How to Automate Multi-Cluster Workload Failover

Set RTO/RPO, sync clusters with GitOps, auto-switch traffic for stateless apps, and promote data first for stateful failover.

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Scaling CI/CD: Lessons from Enterprises

Enterprises speed delivery and cut costs by standardising pipelines, embedding policy-as-code, and enabling teams.

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Enterprise CI/CD Scaling: Key Challenges

Pipelines — not tools — are the real limit: standardise templates, cut queue time, automate policy checks and shift ownership to scale enterprise CI/CD.

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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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AI in RBAC Policy Enforcement

Static RBAC is unsafe for agentic cloud systems — AI enforces per-request, context-aware access with short-lived capability tokens.

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5 Namespace Strategies for Cost Control

Use namespace design, quotas, labels and automation to improve cost visibility, right-size resources and cut Kubernetes spend.

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Automated Testing for Data Integrity in Migration

Layered automated validation ensures data completeness, accuracy and business parity during migration while reducing validation effort.

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Best Practices for Multi-Cloud CI/CD Team Collaboration

Practical guidance on standardised pipelines, ownership, automation and governance for secure multi‑cloud CI/CD collaboration.

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Integrating ARM Templates with Azure DevOps

Automate Azure deployments with ARM templates and Azure DevOps: validate, parameterise, secure secrets and build YAML pipelines.

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Automating Patch Management in CI/CD

Automated CI/CD patching closes the gap between vulnerability disclosure and mitigation with continuous scanning, IaC and policy-as-code.

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Kubernetes Traffic Splitting for Canary Deployments

Kubernetes traffic splitting lowers deployment risk and cost by routing a small share to a canary, monitoring and enabling quick rollbacks.

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