Dynatrace

Developer Tools

Neotask on OpenClaw turns Dynatrace into an autonomous observability engine — querying metrics, analyzing problems, detecting vulnerabilities, and triggering notifications so your infrastructure runs itself.

• Incidents get investigated automatically — your agent lists problems, queries DQL for root causes, and generates Slack or email notifications before your team even opens a dashboard
• Security vulnerabilities get surfaced in real time — your agent monitors CVEs, lists exceptions, and integrates findings into your incident workflow without manual scans
• Observability becomes conversational — describe what you want to know about your infrastructure in plain language and your agent queries DQL and Davis AI on your behalf

What You Can Do

The Dynatrace integration gives Neotask 20 actions for full-stack observability through OpenClaw.

| Area | Actions | What They Do |

|------|---------|-------------|

| Environment & Discovery | Get environment info, find entity by name | Understand your monitored environment and locate specific services, hosts, and processes |

| Problem Management | List problems | Surface active incidents and performance degradations |

| Security | List vulnerabilities, list exceptions | Monitor CVEs and application security exceptions |

| DQL Queries | Execute DQL, verify DQL, generate DQL from natural language, explain DQL | Query your observability data lake with full Dynatrace Query Language support |

| Davis AI | Chat with Davis Copilot, list Davis analyzers, execute Davis analyzer | Leverage Dynatrace's AI engine for intelligent analysis and root cause detection |

| Kubernetes | Get Kubernetes events | Monitor container orchestration layer events |

| Notifications | Send Slack message, send email, send event | Deliver alerts and updates to the right channels |

| Workflows | Create workflow for notification, make workflow public | Build automated response workflows |

| Infrastructure | Reset Grail budget, create Dynatrace notebook | Manage observability platform resources |

Every action runs autonomously or requires your approval — you decide.

Try Asking

"List all active problems in production right now and send a summary to the #incidents Slack channel"

"Generate a DQL query to find p99 response time for the checkout service over the last hour"

"Are there any critical vulnerabilities in our monitored environment?"

"Chat with Davis Copilot: why is our API gateway showing elevated error rates?"

"Get all Kubernetes events from the last 30 minutes and flag any CrashLoopBackOffs"

"Create a workflow that sends an email alert whenever a new critical problem is detected"

"List all exceptions thrown by the payment service today grouped by error type"

Pro Tips

Use natural language DQL generation for ad-hoc queries — describe what you want to know and your agent writes and executes the query

Schedule nightly vulnerability checks: your agent lists CVEs, assesses severity, and creates a summary for your security team

Approval gates work well for workflow creation — your agent drafts the alerting workflow and you review before it goes live

Multi-agent teams excel at incident response: one agent investigates root causes, another notifies stakeholders, a third creates runbooks

Combine Davis Copilot conversations with problem list analysis for faster mean-time-to-resolution

Works Well With

• bigquery - Connect BigQuery and Dynatrace with Neotask to unify observability data and cloud analytics for faster incident response...
• todoist - Connect Drip and Linear with Neotask to sync ecommerce campaigns with your engineering workflow. Automate issue tracking...