Assess your instance scale using Jira Cloud Migration Assistant: Database queries and usage metrics

You can assess the scale of your Jira instance by collecting data about its content, such as the number of users, projects, automations, and many more. Sharing this data with the Atlassian migration team will allow us to analyze the complexity of your migration and provide some guidance on migration planning.

動作の仕組み

The assessments are part of the cloud migration assistants, currently hidden behind a dark feature. When you enable them and run the assessment, we’ll automatically collect the following data:

  • Database entities: Number, or metadata, of entities, such as projects or issues

  • Usage data: for example the number of active users in the past days

  • Instance metadata: version, SEN number, Server ID, timezone

  • Browser metrics: performance and browser metrics, including network speed and quality, based on users' browser

The data will be saved in a ZIP archive with a number of files. You’ll need to share them with Atlassian for analysis, and also review yourself to get a better idea about your instance.

FAQ

Here are some common questions we’re getting.

Do you collect any identifiable data?

The assessment doesn’t collect any personal identifiable data (PII). Any data that we collect is based on IDs. It’s also not automatically shared with Atlassian – you share the files when you want to.

Do I need Internet connection? Do you call any APIs outside of my network?

The Internet connection is not required to collect the data. We’re also not calling any APIs outside of your instance’s network.

What’s the performance impact on the Jira instance?

We did performance testing and optimizations to make sure the assessment doesn’t affect your instance. When it’s running, your users can keep doing their work in Jira.

What’s the user key / ID collected from the user’s browser?

When collecting data from your users' browsers, we collect the user key associated with every user. These keys are hashed on export and never exposed to Atlassian teams. We only use them for grouping, clustering, and creating themes for research and analysis.

はじめる前に

前提条件は次のとおりです。

  • You need to upgrade Jira Cloud Migration Assistant to version 1.9.14, or later.

  • It takes 24 hours to collect the users' browser data. We recommend that you run the assessment during working hours so the data is meaningful. The assessment won’t impact the performance of your instance.

Assess your instance scale

To assess your instance, follow these steps.

1. Enable the assessment

To enable the assessment:

  1. <Jira_URL>/secure/admin/SiteDarkFeatures!default.jspa に移動します。

  2. Add com.atlassian.jira.migration.features.assess-l1-cloud-tooling

If you need more details, see Enabling dark features in Jira.

2. Run the assessment

To run the assessment and collect the data:

  1. Open the Jira Cloud Migration Assistant.

  2. In the Assess the size of your instance card, select Begin assessing.

  3. We’ll ask you to confirm that the data will be stored on your instance. Select Continue.

  4. The assessment will start. We’ll collect the data that includes:

    • Database entities: Running queries on your database to collect data about your entities.

    • Usage data: We’ll check access logs to see the usage data.

    • Browser metrics: We’ll collect performance data from your users' browsers.

3. Download the results

Once the assessment is complete, which should take 24 hours, select Download ZIP file. The ZIP archive includes the following files:

ファイル

説明

cloud-scale-database-[date].csv

Data about specific entities, retrieved from the database. It helps us understand the scale of your instance.

tooling-scale-database-[date].csv

Similar to above, but with a different set of entities. It helps the migration tooling team to determine the best migration strategy.

usage-metrics-[date].csv

Usage metrics taken from access logs. It helps the Jira Cloud teams determine the best cloud instances for you.

instance-metadata-[date].json

Metadata about your instance for easier identification.

cloud-scale-browser-metrics-[date].jsonl

Data from users' browsers on the performance of your instance. It helps us understand what you’ll need in cloud for best performance.

何のデータが収集されるか

Here are some details on the collected data that you can find in each of the files.


File: cloud-scale-database-[date].csv

The files includes data about the following entities:

  • Metadata of issues with 10k or more history groups

  • Number of active Jira Service Management agents

  • アクティブなユーザー数

  • Total number of attachments

  • Number of automation rule executions a day

  • Metadata of automation rules with 30 or more branches

  • Number of deleted users

  • Metadata of groups with 35k or more user memberships

  • Number of Jira Service Management customers

  • Number of history groups

  • Number of history items

  • 非アクティブなユーザーの数

  • Number of Insight objects (assets)

  • Metadata of Insight objects (assets) with 20 or more fields

  • Number of Insight object schemas

  • Total number of issues

  • Number of Jira Service Management agents

  • Number of projects by type

  • Number of projects with 30 or more automation rules

  • Number of projects with 30 or more SLAs

  • Number of projects with 50 or more queues

  • Number of projects with 80k or more issues

  • Number of user groups

  • Total number of users

  • Metadata of projects with 10k or more history groups

  • Total attachments size in GB


File: tooling-scale-database-[date].csv

This file includes the following metrics:

  • Metadata of issues with 10k or more history groups

  • Number of active Jira Service Management agents

  • アクティブなユーザー数

  • Total number of attachments

  • Number of automation rule executions a day

  • Metadata of automation rules with 30 or more branches

  • Number of deleted users

  • Metadata of groups with 35k or more user memberships

  • Number of Jira Service Management customers

  • Number of history groups

  • Number of history items

  • 非アクティブなユーザーの数

  • Number of Insight objects (assets)

  • Metadata of Insight objects (assets) with 20 or more fields

  • Number of Insight object schemas

  • Total number of issues

  • Number of Jira Service Management agents

  • Number of projects per project type

  • Number of projects with 30 or more automation rules

  • Number of projects with 30 or more SLAs

  • Number of projects with 50 or more queues

  • Number of projects with 80k or more issues

  • Number of user groups

  • Total number of users

  • Metadata of projects with 10k or more history groups

  • Total attachments size in GB


File: usage-metrics-[date].csv

  • Interactions date: Date when an interaction with the Jira instance was recorded in the access logs.

  • Active users per day: Total number of unique users who interacted with the Jira instance in the past 14 days.

  • Peak-hour active users per day: Number of unique users who interacted with the Jira instance at the same time. We obtain it by aggregating user IDs and the corresponding date-hour combinations in the access logs. It provides a snapshot of your instance’s busiest periods.

  • Node availability and data collection status: Data on the availability of each node (or single node). It also shows the status of data collection.


File: instance-metadata-[date].json

  • Product name and version: Name and version of your Jira product.

  • SEN: Support Entitlement Number (SEN), which is a unique identified of your Atlassian product.

  • Server ID: Unique identified of your Jira instance.

  • Instance UUID: A distinctive number of your Jira instance. It’s typically used for internal tracking and debugging by Atlassian Support.

  • Instance timezone: Timezone of your Jira instance.

  • Assessment starting date: The date when you started this assessment.


File: cloud-scale-browser-metrics-[date].jsonl

  • user ID: A unique identifier of a user. It’s generated securely and hashed randomly to maintain privacy, while also allowing us to track user interactions.

  • Browser type and version: Details about the browser, for example Google Chrome, Safari.

  • Operating system: Details about the operating system, for example Windows, MacOS.

  • Processor count: Number of processors on the device.

  • System memory (RAM): Total memory or RAM on the device.

  • Network download speed: The speed of downloading data.

  • Network connection quality: The effectiveness of network connection.

  • Network Latency (RTT): Round Trip Time (RTT) is a measurement of the time it takes for a signal to travel from a user's computer to the Jira Instance and back. This helps gauge the responsiveness of users' network connection.

最終更新日 2023 年 11 月 20 日

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