Pre-Trained AI Models for DevOps Automation
How pre-trained AI models automate DevOps—CI/CD config, anomaly detection, automated testing and cost optimisation, with vendor comparisons and best practices.
Read moreBlog posts in the Automation category
How pre-trained AI models automate DevOps—CI/CD config, anomaly detection, automated testing and cost optimisation, with vendor comparisons and best practices.
Read morePolicy-as-Code automates governance across AWS, Azure and GCP, turning compliance rules into code enforced in CI/CD pipelines.
Read moreChecklist for building a SOX-compliant disaster recovery plan: set RTO/RPO, encrypt and replicate backups, automate monitoring and run regular tests.
Read morePractical guide to validating cloud systems: performance, security, scalability, test planning, automation and continuous monitoring to minimise risk.
Read moreBuild independent, automated CI/CD pipelines for microservices using Docker, Kubernetes and GitOps; employ contract testing, canary/blue‑green releases and dynamic scaling.
Read moreScale EC2 Spot Instances reliably and cut cloud costs with instance/AZ diversification, Auto Scaling capacity rebalancing, automation and CloudWatch monitoring.
Read morePractical strategies to build scalable, cost‑efficient multi‑cloud CI/CD using IaC, Kubernetes, GitOps, observability and policy‑as‑code.
Read moreSeven DevOps metrics that reveal deployment speed, quality and reliability: deployment frequency, lead time, change failure rate, MTTR, pipeline speed, success and error rates.
Read moreGuide to logging in private cloud environments: what to log, retention, centralisation, automation, encryption and GDPR-compliant practices.
Read moreReal-time monitoring detects CI/CD failures instantly, enables canary rollbacks, reduces change failures and speeds troubleshooting for more reliable deployments.
Read moreGuide to safe Istio canary rollouts: traffic splitting, monitoring with Prometheus/Grafana, automation with Flagger/Argo, and rollback tactics.
Read moreDefine, measure and automate cloud cost KPIs—tagging, unit economics, baselines, forecasts and governance—to reduce waste and improve financial clarity.
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