How to Automate Kubernetes Audit Logging
Automate Kubernetes audit logging: define policies, configure log or webhook backends, integrate with CI/CD and alerting, and manage retention and costs.
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Blog posts in the Automation category
Automated IAM Role Provisioning with IaC
Define, validate and deploy least-privilege IAM roles with IaC and CI/CD to improve cloud security, auditability and compliance.
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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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RBAC in Multi-Cluster CI/CD: Case Study
How a financial firm reduced privilege sprawl across eight Kubernetes clusters using GitOps, least-privilege RBAC, phased rollout and automated audits.
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Integrating Compliance Scanning into CI/CD Pipelines
Embed automated compliance scanning into CI/CD to enforce policies, generate SBOMs, cut remediation time and maintain audit-ready, fast deployments.
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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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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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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 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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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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