# ResolveAI AI SRE platform for engineering teams managing on-call and production reliability - Findings24: - Site: - Preços: Paid - Categorias: Assistente DevOps IA ## O que é ResolveAI? ResolveAI is an AI site reliability engineering (SRE) platform for teams operating production systems. Its agents investigate alerts, help restore service during incidents, and identify root problems behind recurring failures. Teams can work alongside agents or delegate tasks within configured approval boundaries. The platform brings investigation and operational actions into existing engineering workflows. It supports both immediate incident response and ongoing reliability work, including deployment monitoring, drift detection, and scheduled reports. ## O que ResolveAI pode fazer? ### Automatic alert investigation Picks up alerts from PagerDuty and other alerting tools, investigates them in real time, and builds initial findings before the on-call engineer is paged. ### Evidence-based diagnosis Correlates logs, metrics, traces, and code to assess severity, identify the affected systems, and explain why an alert is happening. ### Operational actions Silences noisy alerts, executes GitHub Actions, and routes issues to the appropriate team. Known patterns can be handled autonomously within configured guardrails. ### Incident mitigation and remediation Agents work to restore service during critical alerts and incidents, then identify underlying problems and drive permanent fixes for recurring or latent failures. ### Background production tasks Runs deployment monitors, drift detection, and reports on schedules or triggers. Deployment monitoring can initiate investigations before alerts fire. ### Learning from engineer corrections Engineers review findings and correct agent reasoning. Those corrections become reusable knowledge for subsequent investigations. ## Casos de uso ### Preparing an on-call shift On-call engineers can review investigated alerts, prioritized issues, and proposed next steps when they begin a shift, reducing the work needed to establish context. ### Coordinating a production incident Teams handling service disruptions can use shared diagnostic evidence to direct escalation and mitigation, reducing manual investigation across multiple tools. ### Reviewing a rollout Engineers deploying changes can have agents watch the rollout and investigate emerging problems, supporting earlier assessment of release health. ### Addressing recurring operational failures Reliability teams can investigate repeated incidents and latent faults to identify underlying causes and pursue fixes that prevent recurrence. ## Perguntas frequentes ### Which observability systems does ResolveAI support? The website names Datadog, Grafana, Prometheus, and OpenTelemetry-based systems. ResolveAI understands the supported tools' query languages and data models. ### How much control do engineers retain? Teams define guardrails for autonomous actions and actions requiring approval. Engineers remain involved and make the final call on high-severity issues. ### Where can engineers access findings and actions? Findings, priority lists, and actions surface in Slack, Microsoft Teams, the CLI, ResolveAI, or a team's own agent. ### How does pricing work? Pricing uses credits consumed as agents perform defined types of production work. Credits apply across chats, alert triage, investigations, incidents, background tasks, and other workflows, without requiring teams to model tokens or inference costs. ## Informações rápidas - **Product category**: AI SRE platform - **Primary users**: On-call engineers, SREs, and production engineering teams - **Operating modes**: Autonomous tasks and engineer-supervised workflows - **Website**: https://resolve.ai