ITLinkin connects AI agents to your infrastructure, operations, and workflows — automating the repetitive, accelerating the complex.
Deploy agents that reason, plan, and act across your stack — diagnosing incidents, opening tickets, and executing remediations without human hand-holding.
Route tasks intelligently across GPT-4o, Claude, Gemini, and local LLMs. Choose the right model for each subtask — cost, speed, or accuracy.
Agents natively connect to Kubernetes, Terraform, Ansible, PagerDuty, Jira, GitHub, Grafana, and 80+ enterprise IT tools out of the box.
Agents ingest metrics, logs, and traces in real time. They correlate signals across your monitoring stack to build context before acting.
Every agent action passes through configurable guardrails — approval workflows, dry-run modes, and audit trails built into the execution layer.
Agents wake on alerts, webhooks, schedules, or natural language commands. Zero-latency response to production events, 24/7.
Traditional runbooks encode human intent as static scripts. The next generation replaces them with reasoning agents that adapt to novel failure modes, call external APIs, and coordinate across services — all in real time. We examine what this shift means for SRE teams in 2026.
Teams are now running full codebase analysis and incident post-mortems inside a single context window.
A new controller uses LLM-predicted traffic patterns to pre-scale workloads before load spikes hit.
Security agents now correlate SIEM alerts, query threat intel feeds, and draft incident reports automatically.
LLM-powered agents analyze Terraform plans, identify idle resources, and propose right-sized configurations — saving up to 35% on cloud bills.
How enterprise IT teams are using Anthropic's prompt caching to slash LLM inference costs on high-frequency monitoring queries.
Breaking down incident response into specialist sub-agents — diagnosis, communication, remediation — and orchestrating them reliably at scale.
Embedding your internal knowledge base lets agents retrieve relevant procedures at query time — no more keyword-dependent search failures.
An honest look at AI-driven operations tools — which anomaly detection approaches are production-ready and where the gaps remain.
Policy engines, human-in-the-loop checkpoints, and rollback strategies that keep autonomous IT agents from causing more problems than they solve.
ITLinkin agents don't just answer questions — they take action. Ask in plain language, and the agent plans, calls tools, and reports back with results.