Migrating from Slack to Datadog
The main reason teams move from Slack to Datadog is infrastructure monitoring and application performance monitoring. Datadog's approach — unified observability platform — infrastructure monitoring, apm, logs, rum, synthetics, and security all in one place, reducing tool sprawl — suits scaleup and enterprise teams that have outgrown Slack's model. Here's how to migrate without losing historical context.
At a Glance
- De facto standard for workplace communication — most PMs will use Slack daily, and it appears constantly in job descriptions
- 2,600+ app integrations make it the central nervous system of the product team's tool stack, pulling notifications from Jira, GitHub, Figma, and more into one place
- Channels, threads, and Slack Connect enable structured communication across teams, departments, and even external partners/vendors
- Unified observability platform — infrastructure monitoring, APM, logs, RUM, synthetics, and security all in one place, reducing tool sprawl
- 750+ out-of-the-box integrations covering virtually every cloud service, database, framework, and DevOps tool in modern stacks
- Watchdog AI automatically detects anomalies and correlates issues across the entire stack, significantly reducing mean time to resolution
You gain with Datadog
- +custom fields
Migration Steps
Audit and export your current workspace
Before touching Datadog, document what lives in Slack: projects and tasks, custom fields, automations, integrations, and team permissions. Export a full CSV backup — most tools support this from Settings → Export. Pay particular attention to any workflow automations that your team relies on daily.
Set up your Datadog workspace
Create your Datadog workspace and replicate your project structure using tasks and projects. Start with the free tier — it covers the core workflow before you commit to a paid plan. Run with a single pilot team before migrating everyone.
Map your workflow equivalents
Find the closest Datadog equivalent for each Slack feature your team relies on. projects and tasks in Slack maps to tasks and projects in Datadog. Datadog supports custom fields — recreate your Slack field schema here first. Prioritise the critical path: task creation, status tracking, and assignment.
Import your data
Datadog supports CSV import for tasks and projects and has 20+ native integrations. After importing, rebuild your key automations — Datadog's automation engine can replicate most rules you had in Slack. Start with your most active project rather than importing everything at once.
Onboard your team
Run a 30-minute walkthrough covering the daily workflow: how to create tasks and projects, update status, and find your board. Datadog has a steeper learning curve. Budget 2–3 weeks for full adoption and schedule follow-up sessions after week one.
Run Slack in parallel for two weeks
Keep Slack read-only while your team works primarily in Datadog. This reduces risk and lets people reference historical context — old decisions, archived tickets, past sprint data — without slowing the migration. After two weeks with no new work going into Slack, archive the workspace and make Datadog the official home.
Ready to switch?
Read the full Datadog review for pricing, integrations, and team fit details.