Blog | Hokstad Consulting

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How Key Management Works in Open-Source Encryption

Guide to secure key generation, storage, rotation and revocation using open-source tools and cloud techniques to protect data and meet compliance.

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Policy as Code: Simplifying Cloud Access Control

Automate cloud access control with Policy as Code: versioned policies, CI/CD integration, real-time compliance, and multi-cloud governance.

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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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HIPAA Compliance in Artifact Management

UK organisations handling US health data must secure software artifacts — encrypt, enforce RBAC/MFA, maintain audit trails & BAAs to meet HIPAA and avoid fines.

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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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AI in Multi-Cloud Risk Mitigation

AI monitors, detects and automates security, compliance and FinOps across multiple cloud providers to reduce risks and cut costs.

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How to Monitor MFA for Compliance Standards

Continuous MFA monitoring with centralised logs, anomaly detection and phishing-resistant authenticators is essential to close compliance gaps and stop identity attacks.

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Behavioural Anomaly Detection: Use Cases in DevOps

Behavioural anomaly detection uses ML on logs, metrics and traces to detect infrastructure, performance and security issues in cloud-native DevOps.

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Cloud Cost Overruns: Prevention Tactics

Practical tactics—budgets, autoscaling caps, rightsizing, tagging and governance—to cut cloud costs 15–25%.

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