Deprecations and Removals

As new apps and solutions are developed, outdated apps are deprecated and removed.

Deprecation serves as notice that a feature, service, or functionality is planned for removal from a future Instabase version. Deprecated features don’t receive enhancements, but continue to function until they’re removed from Instabase.

If you use a feature that has been deprecated, migrate your workflows and processes to updated features or functions.

Questions or concerns? See details on release and feature lifecycles or contact Instabase support.

Filesystem v1 APIs

  • Deprecated in 23.10

Instabase filesystem v2 APIs were made available with release 22.08. Transition your Instabase integrations to the newer filesystem v2 API endpoints.

Deployed documentation

  • Deprecated in 23.04

  • Removed in 24.01

Instabase documentation for versions 23.04 and later is now public and available at instabase.com/docs. The static documentation shipped in Instabase deployment images is deprecated and planned for removal in version 23.10 or later. If you are running an earlier supported version of Instabase, the documentation in your deployment will continue to be updated when you patch your deployment. Availability of Instabase platform documentation is as follows:

  • 24.01 and later: online only

  • 23.04 and 23.07: online and in-product

  • 23.01 and earlier: in-product only

Classifier app training

  • Deprecated in 23.07

  • Removed after 24.01

Use ML Studio to train classifiers instead. You can still use the Classifier app to write custom code classifiers that don’t require training, such as heuristic-based classifiers.

Breaking Python upgrade

  • Upgraded in 23.07

A Python upgrade in 23.07 might result in breaking errors in earlier classifiers trained with the Classifier app.

Warning

If you trained classifiers with the Classifier app before 23.07, retrain the classifiers using ML Studio or convert the model to ONNX before upgrading to 23.07 or later.

MSFT v2.0 OCR

  • Expired on May 31, 2023

Licenses for MSFT v2.0 OCR disconnected containers expired on May 31, 2023. If you are using disconnected containers, change to MFST v3.0 or MSFT v2.0 connected containers prior to the expiration date. If you did not update licenses before the expiration date, update them to re-enable your solutions.

api-server-apps service

  • Removed in 23.04

All api-server-apps functionality has been merged into the api-server service. You do not need to take any action. You might see the api-server-apps service in your clusters with 0 replicas or the service might be gone altogether.

Developer Exchange

  • Deprecated in 23.04

You can now find developer packages in the consolidated Marketplace.

Jupyter Notebook

  • Deprecated in 23.04

  • Removed in version 24.01

runner-service service

  • Removed in 23.04

As of 23.04, all runner-service functionality was merged into the api-server service. You do not need to take any action. You might see the runner-service service in your clusters with 0 replicas or the service might be gone altogether.

NLP Search app

  • Deprecated in 23.01

  • Removed in 23.10

Model service endpoints: run batch sync and run test sync

  • Removed in 23.01

The model service run batch sync API endpoint (/api/v1/model-service/run_batch_sync) and run test sync API endpoint (/api/v1/model-service/run_test_sync) have been removed from the platform.

PDF service

  • Deprecated in 22.10

By default, all pdf-service PDF processing operations are instead handled by alternate libraries serviced by celery-app-tasks.

Warning

Breaking change: If you are upgrading from a release earlier than 22.10, verify the performance of your solutions against your new version before upgrading.

To verify performance, upgrade your testing or staging environment to 22.10 or later and validate all solutions in the environment. You can use the Comparison app to validate solution accuracy by comparing actual results against expected field values.

Based on the results of your performance testing, you might need to create a solution migration plan and modify your solutions before upgrading your production environment to 22.10 or later. For some solutions, small adjustments might be needed for post processing. In other cases, re-annotating the dataset and retraining the model might be required.

ib_intelligence package installation

  • Removed in 22.10

The ib_intelligence package no longer needs to be installed during deployment to run models on Instabase. Previously, ib_intelligence was available as a downloadable Marketplace package; it’s now included in the deployment by default. As the standalone ib_intelligence package is deprecated, it can’t be used in UDFs. Existing models will continue to run without the package.