Service plans
Different pricing plans are available that you can choose for an IBM Cloud Activity Tracker instance. Each plan defines the number of days that data is retained for search, the number of users allowed to manage the data, and the features that are enabled.
As of 28 March 2024 the IBM Log Analysis and IBM Cloud Activity Tracker services are deprecated and will no longer be supported as of 30 March 2025. Customers will need to migrate to IBM Cloud Logs, which replaces these two services, prior to 30 March 2025.
| Plan | Number of days that data is available for seach | Number of users per plan | Plan Name | Plan ID |
|---|---|---|---|---|
HIPAA 30 day Event Search |
30 | 25 | hipaa-30-day |
254d26dc-3ef5-4006-912c-954186a0d033 |
30 day Event Search |
30 | Unlimitted | 30-day |
e914263e-8b62-475e-8206-938e3a31ad26 |
14 day Event Search |
14 | Unlimitted | 14-day |
b7f77c86-adde-4e32-8a1b-daba35b1d4fa |
7 day Event Search |
7 | Unlimitted | 7-day |
9aae7491-5cb6-43eb-9b7a-3e0456c781f0 |
Lite [*] |
Data is not available for search | 1 | lite |
6efc5a58-4289-4632-867f-5a25e817bfe9 |
[*] In the lite plan, the log line is not formatted.
IBM Cloud Activity Tracker offers a Lite plan that you can use to view your events as they pass through the system. You can view events by using event tailing. You can also design filters to prepare for upgrading to a longer retention
period plan. You cannot use an instance on the Lite plan to receive streamed data. This plan has a 0-day retention period.
Features by plan
The following tables outline the different features that are included in each service plan:
| Feature | HIPAA 30 day Event Search plan |
30 day Event Search plan |
14 day Event Search plan |
7 day Event Search plan |
Lite plan |
|---|---|---|---|---|---|
Live streaming tail |
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Events are stored and searchable |
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Archiving of events |
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Multi-channel Alerting |
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Exporting events |
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Definig custom parsing templates |
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Configuring exclusion rules from the UI |
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Creating views |
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Creating dashboards |
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Creating screens |
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Analyzing logs in different contexts |
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