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As new apps and solutions are developed, outdated apps are deprecated and removed.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, plan to transition to an updated feature or function of the product.
Questions or concerns? Contact Instabase support.
Deprecations
ABBY OCR
Support for ABBYY is deprecated in 24.01. ABBYY will no longer be supported after July 2025. If you are using ABBYY OCR, switch to another OCR such as MSFT OCR, which offers significant performance and accuracy improvements over ABBYY.
Classifier app
Training in the Classifier app is deprecated and scheduled for removal in 24.01 or later. 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.
Additionally, a planned Python upgrade in 23.07 might result in breaking errors in classifiers trained with the Classifier app.
ACTION REQUIRED: Train classifiers using ML Studio or convert the model to ONNX before upgrading to 23.07.
Developer Exchange
Deprecated in 23.04. You can now find developer packages in the consolidated Marketplace.
Filesystem v1 APIs
Planned for deprecation in release 23.10 or later. Instabase filesystem v2 APIs were made available with release 22.08. We recommend beginning to transition your Instabase integrations to the newer filesystem v2 API endpoints.
Flow v1
Flow v1 is deprecated and scheduled for removal in 24.10. Use Flow v3 instead.
ib_intelligence package installation
Deprecated 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 should not be used in UDFs. Existing models will continue to run without the package.
Jupyter Notebook
Deprecated in 23.04 and is planned for removal in version 24.01.
PDF service
Deprecated in release 22.10. By default, all pdf-service PDF processing operations are instead handled by alternate libraries serviced by celery-app-tasks.
BREAKING CHANGE: If you are upgrading from a release earlier than 22.10, verify the performance of your solutions against release 22.10 before upgrading.
To verify performance, upgrade your testing or staging environment to 22.10 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. 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.
NLP Search app
Deprecated in release 23.01 and planned for removal in release 23.10 or later.
Recipe Book files
Deprecated in release 24.01 and planned for removal in release 24.10 or later.
Removals
api-server-apps service
As of 23.04, all api-server-apps functionality was 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.
MSFT v2.0 OCR
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.
Model service endpoints: run batch sync and run test sync
As of 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.
Nvidia T4 GPU
Nvidia T4 GPUs no longer meet minimum performance requirements for machine learning and have been removed from the supported GPU list. The minimum supported GPU for machine training is now A10. If you are using T4 GPUs for training, transition to A10 GPUs.
runner-service service
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.