Planning your migration to Cloud
Migrating to Cloud can take up to several months, and may vary widely depending on several factors, including the size of the instance, the complexity of the data, the number of users, and whether apps are involved. Below is an overview of the timeframes we recommend for migrating with Elements Connect:
DC configuration analysis and compatibility check: 1–3 weeks
Configurations migration: 2–4 weeks
Fields value migration: 2–4 weeks
Post-migration configuration and testing: 2 weeks
If you think you will need help in your migration process, we highly recommend that you reach us as soon as your migration has been decided.
👉 Ask for help!
Before starting your migration to Elements Connect Cloud, ensure you have all the necessary information and a comprehensive understanding of the process. Proper preparation will help you avoid unexpected challenges and streamline the migration experience.
Understand available fields types on Cloud and how they work
Elements Connect Cloud offers 2 types of connected fields; connected custom fields and connected items.
Choosing the right one depends on your specific needs for data migration, integration, performance, and visibility in Jira (as they serve different purposes).
Feature/Capability | Connected Custom Fields | Connected Items |
---|---|---|
Usage in Jira Service Management |
|
|
Usage in Jira projects |
|
|
Live fields |
|
|
Advanced customization of display |
|
|
Integration with workflow validators |
|
|
Integration with advanced reports created with native JQL |
|
|
Integration with Automation and 3rd-party apps |
|
|
Populate migrated data from Connect Data Center |
|
|
For more details about different fields types, please refer to this page.
Assess your Data Center configurations
After having an overview of available field types on the Cloud and functionalities they support, it’s time to analyze your Elements Connect Data Center configuration.
Some use cases can be translated seamlessly to Cloud, while others may not yet be available, or you need to implement a different approach to achieve the same that you have done in your Jira Data Center environment.
A careful analysis of your Data Center configuration will help you in planning workarounds or adjustments as needed.
Datasource assessment:
Determine datasources you use in Connect Data Center and if they’re supported in Cloud (click here for list of supported datasources in Cloud).
Here are some identified problematic use-cases and suggested workarounds (when possible):
Feature in Connect Data Center | Availability in Connect Cloud | Suggested workaround |
---|---|---|
Datasource in one of the following: Jira SQL, Jira JQL |
| Connect to your local Jira instance by creating a REST API datasource. |
Datasource is a file |
| Switch the Data (if possible) into a Databaseor a REST API datasource |
Datasource is a REST API but response type is not JSON (XML, CSV…) |
| Update the Datasource response (if possible) to JSON. |
Datasource authentication mode: MTLS |
| N/A |
Database connected via VPN |
| Expose API or use an intermediate proxy. |
Fields assessment
Identify all custom fields in Connect Data Center (we encourage you to clean unused fields to simplify your migration).
Check for complex queries
Check for complex templates
Identify used dependencies and check whether they are supported or not (for a complete list of available dependencies, click 👉 here).
Here are some identified problematic use-cases and suggested workarounds (when possible):
Feature in Connect Data Center | Availability in Connect Cloud | Suggested workaround |
---|---|---|
Filtering API responses (JSON Path) |
| Wait a few weeks for the feature tu be released, we are actively working on it. |
Fields relying on Velocity in templates |
| For complex and mandatory displayed templates, use Connected Items.
|
Fields relying on HTML in templates |
| |
Date time field | Not available in Cloud |
Discover full feature parity table here!