DevOps Orchestration

Build reliable, long-running workflows to orchestrate DevOps procedures. Use templates and modify them to fit your needs.

Use AutoKitteh to seamlessly connect services with simple Python code, while the platform handles execution, authentication, secret management, monitoring, code management, reliability, and more.

On-prem, private cloud or use hosted solution.

Integrations

GitHub

AWS

Slack

Jira

HTTP

Jenkins

GCP

Kubernetes

SSH

GitHub Actions

Example: Jira issue from webhook

A customized workflow for an internal use case where an application sends a webhook to create a Jira ticket. The ticket’s attributes are derived from the received webhook.

Integrations: HTTP webhook, Jira

Prerequisites: Jira connection setup

Trigger: Webhook (configured in project settings)

Flow: 

  1. If the method is not “GET” terminate the workflow
  2. Decode the message based on the content type
  3. Create Jira issue with the field received in the event
import json
from urllib.parse import parse_qsl
from autokitteh.atlassian import atlassian_jira_client

def on_http_request(event):
    """Webhook for HTTP GET and POST requests."""
    if event.data.method == "GET":
        _create_jira_issue(event.data.url.query)
        return

    match event.data.headers.get("Content-Type"):
        case "application/json":
            _create_jira_issue(json.loads(event.data.body))
        case "application/x-www-form-urlencoded":
            body = event.data.body.decode("utf-8")
            _create_jira_issue(dict(parse_qsl(body)))

def _create_jira_issue(fields):
    if isinstance(fields["project"], str):
        fields["project"] = {"key": fields["project"]}
    if isinstance(fields["issuetype"], str):
        fields["issuetype"] = {"name": fields["issuetype"]}

    issue = atlassian_jira_client("jira_connection").issue_create(fields=fields)
    print("Created Jira issue: " + issue["key"])

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