Incident Bridge: Where Infrastructure Telemetry meets Revenue Protection
The Problem
When a critical outage hits, SREs race through server logs with no idea which enterprise clients are affected. Support gets flooded with angry tickets but has no idea why. The result: SLA breaches, panicked account managers, and clients churning before anyone even picks up the phone.
Incident Bridge closes that gap autonomously. The moment an anomaly is detected, a multi-agent AI pipeline cross-references live Dynatrace Grail telemetry - infrastructure error logs enriched with business context events (ARR, SLA thresholds, account ownership) - against your Zendesk support queue — segmenting affected accounts, predicting penalty exposure, and pre-drafting synchronized communications for both teams.
What It Is: Closed-Loop Autonomous Response
Incident Bridge is an AI-orchestrated incident response platform that detects, triages, and coordinates communications during critical outages.
- Automated Telemetry Sentry: Instead of waiting for lagging static alerts, Gemini continuously queries live log streams (via Dynatrace Grail) to spot early signs of transactional failure.
- Blast Radius & SLA Predictor: The platform executes a two-query DQL architecture. First, it fetches infrastructure logs to identify failing merchant IDs. Second, it pulls live business context (ARR, SLA thresholds, account ownership). It then cross-references this with active Zendesk support tickets to project legally binding penalty liabilities at +15 and +30 minute milestones.
- Multi-Agent Coordination: We use specialized Gemini models for deep diagnostic reasoning and brand-safe communication drafting, paired with a deterministic SLA engine that converts live business context into exact penalty liabilities — no LLM arithmetic in the money path.
- Human-in-the-Loop Dispatch: SREs review the AI's findings in a clean dashboard. With one click, the platform executes a multi-channel sync to publish updates and notify Account Managers.
The Proactive Risk Matrix
Most incident response tools are just notification engines. Incident Bridge separates judgment from arithmetic: Gemini interprets and diagnoses, while deterministic TypeScript computes the exact set logic and penalty figures — so the dollar amounts on screen are never an LLM's guess.
- $T$ = Set of Merchant IDs extracted from Grail log errors
- $C$ = Set of Merchant IDs extracted from Zendesk ticket tags
By comparing these sets, we identify:
- Escalations ($T \cap C$): Users experiencing errors who have filed a ticket. We auto-link these to a master Problem ticket.
- Silent Impact ($T \setminus C$): VIP clients failing in telemetry who haven't complained yet. This is our highest-value feature—enabling Support to reach out and offer reassurance before the client even notices the issue.
Core Innovations
- Visualized AI Reasoning: No black boxes. Our dashboard features a streaming diagnostic terminal so SREs can watch the agent parse logs, query Zendesk, and calculate risk step-by-step.
- Dynatrace Grail as Business Intel: Most observability tools treat Dynatrace as a log store. Incident Bridge treats Grail as a business intelligence layer by injecting CloudEvents 1.0
bizeventsat simulation time, making ARR, SLA contractual thresholds, and account ownership queryable alongside infrastructure metrics. - Adaptive Decaying Polling: To avoid API rate limits, our system sweeps for new Zendesk tickets using a decaying scheduler (e.g., at 2, 5, and 10 minutes) rather than continuous polling.
- Native Structured Outputs: We use the official
@google/genaiSDK's structured JSON schemas to ensure Gemini's outputs are strictly deterministic, preventing downstream integration crashes. - Model Context Protocol (MCP): We use MCP to standardize tool calls, letting our agents seamlessly interact with Dynatrace and Zendesk in real-time.
How We Built It
- Google Cloud Run: A serverless TypeScript/Node.js agent runtime orchestrating the entire cognitive lifecycle.
- Gemini Models: Gemini Flash handles rapid log diagnostics and proactive sweeps; Gemini Pro manages complex textual reasoning and communication drafting.
- Google Cloud Firestore: Provides real-time state synchronization between our agents and the React dashboard.
- Google Identity Services (GSI): Ensures secure, zero-trust authentication verified by an Express backend.
What's Next
- Predictive Incident Modeling: Forecasting outages based on historical telemetry trends to pre-stage mitigations.
Built With
- dynatrace
- express.js
- firestore
- google-cloud
- google-sso
- mcp
- open-telemetry
- react
- slack
- typescript
- zendesk


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