Integrations FAQ
Which monitoring systems are supported?
Prometheus AlertManager, Grafana Alerting (9+), and Datadog. All connect via webhook. Other systems (e.g., AWS CloudWatch alarms) can also forward alerts to OpsWorker if they can post an AlertManager-compatible webhook payload — typically via SNS → Lambda → OpsWorker.
Can I use multiple alert sources for one cluster?
Yes. You can connect Prometheus, Grafana, and Datadog to the same cluster simultaneously. OpsWorker normalizes alerts from all sources into a common format.
Does OpsWorker replace my monitoring tools?
No. OpsWorker is an investigation layer that works on top of your existing monitoring. Your Prometheus, Grafana, and Datadog setups remain unchanged. OpsWorker investigates the alerts they fire.
How does the Slack integration work?
OpsWorker connects to Slack via OAuth. After authorization, investigation results are posted to your configured channels with root cause, recommendations, and feedback buttons. See Slack Integration.
What does the GitHub/GitLab integration provide?
It enables the Git AI Agent, which correlates code changes with infrastructure incidents. During investigations and chat, the agent can view commits, PRs, and blame information to identify if a recent change caused an issue.
Can I use OpsWorker without Slack?
Yes. All investigation results are available in the OpsWorker portal. Slack is optional but recommended — it delivers results where your team already works.
What AI models does OpsWorker use?
The SaaS platform uses AWS Bedrock with a multi-model strategy: fast models (Amazon Nova) for field extraction, and reasoning models (Claude) for deep analysis. You don't need to configure anything for the default setup.
Can I use my own LLM?
Yes, for dedicated and private cloud deployments. OpsWorker supports Azure OpenAI and any OpenAI-compatible API via the Custom Reasoning Model integration. See BYO LLM and Custom Reasoning Model.
Is Grafana MCP different from Grafana Alerting?
Yes. Grafana Alerting sends alerts from Grafana to OpsWorker for investigation. Grafana MCP allows OpsWorker's AI to query Grafana dashboards and metrics during investigations. They serve different purposes and can be used independently or together. See the Grafana integration page for setup instructions for each.
What is AI Memory?
AI Memory is OpsWorker's persistent context system. It captures facts about your environment (e.g., "we deploy on Fridays", "the payments database is owned by team X") and preferences for how the AI should behave. Memory is layered across personal (just you), cluster (shared with your team for a specific cluster), and organization (shared across all clusters) scopes. The AI uses memory automatically during investigations and chat to produce answers grounded in your operational reality. See AI Memory.
What are Knowledge Sources?
Knowledge Sources let you feed internal documentation and define best-practice rules that OpsWorker references during investigations and chat. They cover internal knowledge (runbooks, postmortems, internal docs) and best-practice rules (constraints OpsWorker should respect when suggesting actions). See Knowledge Sources.