Monitor Datadog SLOs and Alert Engineering Teams in Slack When at Risk

Regularly check Datadog SLO compliance levels and, when any SLO drops below its error budget threshold, send a structured alert to the relevant engineering team's Slack channel with context and a link to the dashboard.

How the workflow runs

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

  1. 1

    Check all SLO compliance levels

    List all active SLOs and identify any whose compliance percentage has dropped below the configured error budget threshold.

    • datadog:list_slos
  2. 2

    Query underlying error metrics for at-risk SLOs

    For each at-risk SLO, query the underlying metric to understand the current error rate trend and estimate time to budget exhaustion.

    • datadog:query_metrics
  3. 3

    Locate the relevant dashboard and engineering channel

    Find the Datadog dashboard covering the affected service and identify the correct Slack channel for the owning engineering team.

    • datadog:list_dashboards
    • slack:list_conversations
  4. 4

    Send a structured SLO alert to Slack

    Post a formatted alert message containing the SLO name, current compliance, error budget remaining, trend summary, and a direct link to the Datadog dashboard.

    • slack:send_message
  5. 5

    Set a follow-up reminder to verify recovery

    Create a Slack reminder for the team to check SLO status again within a defined recovery window.

    • slack:manage_reminders

Integrations used in this scenario

datadog

List SLOs

Retrieve all SLOs and their current compliance percentages.

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datadog

Query Metrics

Query the underlying error rate metrics for at-risk SLOs.

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datadog

List Dashboards

Find the relevant dashboard to link in the alert.

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slack

List Conversations

Find the target engineering channel for the affected service.

View details

slack

Send Message

Post the SLO breach alert with context and dashboard link.

View details

slack

Manage Reminders

Set a follow-up reminder to check whether the SLO has recovered.

View details

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.

View Datadog

Integration

Slack

Slack: connect with bot OAuth or user OAuth. Send, update, delete, and schedule messages; list and cancel scheduled messages; open DMs and group DMs; manage conversations, members, files, reactions, pins, bookmarks, reminders, user groups, and user status; search messages and files with user scopes; and retrieve user, conversation, and workspace info.

View Slack

Expected outcomes

Outcome 1

Engineering teams are alerted to SLO risk before error budgets are fully exhausted

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

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Outcome 2

Alerts include metric context and dashboard links so engineers can act immediately

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

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Outcome 3

Follow-up reminders ensure SLO recovery is verified and not forgotten

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

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Outcome 4

SLO monitoring runs continuously without requiring an on-call engineer to check dashboards manually

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 datadog slos and alert engineering teams in slack when at risk into something you can deploy quickly, safely, and at scale.

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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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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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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

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Connectivity

Magic MCP

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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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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.

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Solution

For Enterprise

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

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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.

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Build this workflow with your own tools

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