Deep-dives on cloud architecture, AIOps, DevSecOps, FinOps, Kubernetes, and AI-powered IT operations — written by the vasratronTech engineering team.
Modern SRE teams are drowning in alerts. In this article we walk through how our SRE Agent uses LLM-powered root-cause analysis, autonomous runbook execution, and pattern-based anomaly detection to resolve incidents before they escalate — cutting MTTR from hours to minutes.
Read Article →async def handle_incident(alert): ctx = await gather_context(alert) root_cause = await llm.analyze(ctx) if root_cause.confidence > 0.85: runbook = resolve_runbook(root_cause) await execute(runbook) await notify_team( "Auto-resolved", root_cause ) else: await escalate_with_context(ctx)
Avoid the pitfalls of naive multi-cloud deployments. We cover workload placement strategy, cross-cloud networking, and GitOps-driven consistency across AWS, GCP, and Azure.
A real-world breakdown of how our FinOps Agent identified idle resources, rightsized EC2 fleets, and renegotiated reserved capacity — delivering $240K in annual cloud savings.
Security contexts, network policies, RBAC, pod disruption budgets, and GitOps integration — a comprehensive checklist for Kubernetes clusters you'd actually trust in production.
SAST, DAST, SCA, and secrets scanning — integrated natively into GitHub Actions and ArgoCD pipelines without adding more than 90 seconds to your average build.
How we deploy Ollama-backed LLMs inside customer VPCs with zero egress — covering model quantisation, inference optimisation, and compliance posture for SOC 2 environments.
Our blueprint for deploying a self-service IDP — service catalogues, scaffolding templates, cost visibility, and compliance checks — that developers actually want to use.