Monitor Production Errors and File Engineering Issues Automatically

Watch Datadog error logs and alert events in real time, then automatically create actionable GitHub issues with full context so on-call engineers can investigate without switching tools.

How the workflow runs

The scenario uses specific integration tools at each step, while Metorial keeps access scoped and visible.

  1. 1

    Search for new error spikes in production logs

    Query Datadog logs for error-level entries in the last interval, grouped by service and error message to identify spikes above threshold.

    • datadog:search_logs
    • datadog:list_events
  2. 2

    Check for existing GitHub issues before filing

    Search the repository for open issues matching the error signature to avoid creating duplicates.

    • github:search
  3. 3

    Create a Datadog incident for critical errors

    For errors above a severity threshold, open or update a Datadog incident to track customer impact and resolution status.

    • datadog:manage_incident
  4. 4

    File a detailed GitHub issue with full context

    Create a GitHub issue containing the error message, stack trace excerpt, affected service, log query link, and suggested investigation steps.

    • github:manage_issue
    • github:manage_labels

Integrations used in this scenario

datadog

Search Logs

Query error and exception logs from the production environment.

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datadog

List Events

Retrieve recent alert and deployment events from the event stream.

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datadog

Manage Incident

Create or update a Datadog incident record for severe errors.

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github

Search GitHub

Check whether a duplicate issue already exists before filing.

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github

Manage Issue

Create a new issue with error details, stack trace, and log links.

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github

Manage Labels

Apply severity and component labels to the filed issue.

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Connected systems

Integration

Datadog

Monitor infrastructure, applications, and services across cloud environments. Submit, discover, and query metrics; create and manage monitors and alerts; build and clean up dashboards; search and analyze logs; manage incidents; track SLOs; run synthetic tests; inspect users and hosts; and schedule or cancel monitor downtimes.

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Integration

GitHub

Manage repositories, issues, and pull requests. Create and configure branches, star repositories, review code, and merge changes. Automate CI/CD workflows with GitHub Actions, manage workflow runs, secrets, and artifacts. Track issues with labels, milestones, and assignees. Search across code, repositories, issues, and users. Manage organizations, teams, and memberships. Create and manage projects, gists, packages, deployments, and environments. Access security alerts including code scanning, secret scanning, and Dependabot alerts. Read and write file contents in repositories. Manage webhooks, notifications, and codespaces.

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Expected outcomes

Outcome 1

Production errors are captured in GitHub within minutes of detection

Metorial keeps the workflow connected, governed, and traceable across the systems involved.

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Outcome 2

On-call engineers receive issues with full context rather than raw alert noise

Metorial keeps the workflow connected, governed, and traceable across the systems involved.

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Outcome 3

Duplicate issues are suppressed by pre-flight search

Metorial keeps the workflow connected, governed, and traceable across the systems involved.

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Outcome 4

Critical incidents are simultaneously tracked in Datadog for SLA monitoring

Metorial keeps the workflow connected, governed, and traceable across the systems involved.

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How Metorial powers this scenario

Metorial is the governed connection layer between your AI agents and the tools your company runs on. It turns workflows like monitor production errors and file engineering issues automatically into something you can deploy quickly, safely, and at scale.

Fast

Ready for your entire team

Connect 1000+ verified integrations through one Magic MCP URL instead of building and maintaining bespoke connectors for each system in this workflow.

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Secure

Guardrails on every action

Protoguard inspects every message and tool call for prompt injection and policy violations before an agent touches your systems.

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Enterprise

SSO, policies, and audit trails

Agents act on real identity under company SSO, with per-user and per-group access policies and a complete, searchable record of everything that happens.

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Team ready

Reusable across your org

Package this workflow as a skill, attach the tools it needs, and let teammates run it through Portals — governed by admins, owned by the people who do the work.

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Products behind this workflow

The Metorial products that connect, govern, and observe this scenario.

Connectivity

Integrations

Start from 1000+ verified integrations or bring your own, and give every one a governed path to your agents under existing SSO and access policies.

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Connectivity

Magic MCP

A single URL your AI client connects to. Sign in with the login you already use and your agent reaches every integration and tool you allow — no per-app setup.

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Identity

Access Control

Sign in with company SSO, set policies per user and group, and let agents act on real identity across every connected system in this workflow.

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Governance

Protoguard

Metorial’s security layer reviews every message and tool request before an agent acts — catching prompt injection and blocking anything outside your policies.

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Observability

Tracing

A complete, searchable record of everything your agents, team, and machines do across these integrations, so you can trust the workflow in production.

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Governance

Portals

Let teammates connect agents to the integrations and skills your company already uses, with admins deciding who gets access to what.

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Built for your whole team

However you adopt AI, Metorial has a path for connecting it safely.

Solution

For Agents

Give the agents behind this scenario governed access to every tool and integration they need, with one connection layer instead of bespoke glue code.

Agents solution

Solution

For Enterprise

SSO, granular access control, security review, and full audit trails so this workflow meets enterprise governance and compliance requirements.

Enterprise solution

Solution

For your Workforce

Let the people who do this work connect their own AI agents to approved integrations and reusable skills — safely, without waiting on engineering.

Workforce solution

Build this workflow with your own tools

Metorial gives teams one governed layer for connecting integrations to real production work.