author: Tony Pope-Cruz
dynatrace automation engine workflow essentials hands on lab
During this hands-on training, you will learn the foundation to be able to automate any relevant use case within Dynatrace using Workflow automations.
Lab tasks:
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Parameters and Task Results
- Parameter Task – define parameters/variables that will be used by subsequent tasks
- Parameter Task Output – return parameters for subsequent tasks
- Accessing Parameter Task Results – access the parameters from result of the task
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Fetch API
- HTTP GET (Dynatrace Status.io) – bring external data into Dynatrace workflows
- HTTP POST (Webhook.Site) – send data to external systems from Dynatrace workflows
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Looping Tasks
- DQL Query – execute a DQL query that returns multiple records/rows
- Looping Over Results – perform logic against each DQL record/row
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Credential Vault
- Access an API token from the Credential Vault using the Dynatrace SDK
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Metric Ingest
- Retrieve data from an external system using HTTP GET
- Ingest retrieved data point using the Dynatrace API with API token (not optimal)
- Ingest retrieved data point using the Dynatrace SDK (optimal)
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Event Ingest
- Query ingested metric data point using DQL
- Evaluate metric value against a threshold
- If the threshold is breached, generate an event using the Dynatrace SDK
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Event Trigger
- Trigger Workflow when a Davis problem event is detected
- Events are filtered on the type of event, based on the previous exercise
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Slack for Workflows
- Third party integration is typically accomplished with Workflow Apps
- The Slack for Workflows App provides an easy-to-use mechanism for sending messages to a Slack environment containing the data and context from Dynatrace
- Leverage Jinja expressions to access Workflow action results and implement logic
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Code Snippets
- Review code snippets to re-use with Workflows in your custom use cases
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Clean up
Ready to learn the essentials of automating your use cases with Dynatrace Workflows?