Event-Driven Orchestration for AI Agents
Route AI agent tasks by risk with event-driven orchestration: stateful workflows, approval gates, retries and observability.
Read moreBlog posts in the Automation category
Route AI agent tasks by risk with event-driven orchestration: stateful workflows, approval gates, retries and observability.
Read morePrioritise key VMware signals, link backup job status to service maps, and automate incident response to reduce alert noise.
Read moreAI selects, orders and maintains CI/CD regression tests to cut pipeline time and cost; humans keep control over high-risk releases and compliance.
Read moreAI agents cut DevOps RCA time by linking clean telemetry, traces and change records to surface ranked root-cause hypotheses for human approval.
Read moreNo single tool secures hybrid cloud — combine policy-as-code, IaC, CSPM, SIEM, evidence automation to prevent, detect and prove compliance.
Read moreStandardise pipelines, automate security and policy as code, and measure DORA metrics and cost to scale CI/CD across teams.
Read moreAutomate validation, image updates, drift reconciliation and policy checks to keep GitOps repos clean, low-risk and easy to maintain.
Read moreOne pipeline per microservice, GitOps deployments, progressive rollouts and monthly £-per-service cost tracking for reliable CI/CD.
Read moreAutomate safe cloud deployments with Pulumi and GitHub Actions: preview PRs, protect production, use OIDC, rollbacks and cost controls.
Read morePrioritise fixes by exploit likelihood, asset criticality, exposure and fix time — not CVSS alone.
Read moreAI cuts false alerts and speeds remediation across AWS, Azure and GCP—if controls stay explainable and high‑risk cases keep human review.
Read moreTreat every CI/CD version bump as a risk: check compatibility, test in staging, rehearse rollback, and verify post-release.
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