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Enablement Workflow Essentials#

Support Policy

This is an enablement project created by the Center of Excellence - Enablement Team at Dynatrace.

Support is provided via GitHub issues only. The materials provided in this repository are offered "as-is" without any warranties, express or implied. Use them at your own risk.

Lab Overview#

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:

  1. 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

  2. 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

  3. Looping Tasks

    • DQL Query – execute a DQL query that returns multiple records/rows
    • Looping Over Results – perform logic against each DQL record/row

  4. Credential Vault

    • Access an API token from the Credential Vault using the Dynatrace SDK

  5. 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)

  6. 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

  7. Event Trigger

    • Trigger Workflow when a Davis problem event is detected
    • Events are filtered on the type of event, based on the previous exercise

  8. 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

  9. Code Snippets

    • Review code snippets to re-use with Workflows in your custom use cases

  10. Clean up

Technical Specification#

Technologies Used#

Reference Architecture#

N/A

Continue#

In the next section, we'll review the prerequisites for this lab.