All DSP releases prior to DSP 1.4.0 use Gravity, a Kubernetes orchestrator, which has been announced end-of-life. We have replaced Gravity with an alternative component in DSP 1.4.0. Therefore, we will no longer provide support for versions of DSP prior to DSP 1.4.0 after July 1, 2023. We advise all of our customers to upgrade to DSP 1.4.0 in order to continue to receive full product support from Splunk.
Deprecated and removed features
This page lists features that Splunk Inc. has deprecated or removed in the . It also lists features that are planned for deprecation or removal in a future release. This information is provided for your planning purposes.
What does "deprecated" mean?
Deprecated features continue to work and Splunk supports them until support is removed. However, customers need to begin planning now for the future removal of support.
Any beta features that are deprecated adhere to the Splunk Pre-Release Software License Agreement. Splunk is not obligated to support beta features.
What does "removed" mean?
Removed features are no longer supported and cannot be used anymore. Customers must find an alternative to using the feature.
Features planned for deprecation or removal
The following table summarizes the features that will be deprecated or removed in a future release. Deprecated features continue to be supported, but Splunk reminds customers that deprecated features might be removed in a future release. This notice is provided for planning purposes, and best practices are to limit the use of the features described in this table.
Name of feature to be deprecated or removed | What do I need to know? |
---|---|
Support for Ubuntu 18.04 | Ubuntu 18.04 LTS has reached the end of its five-year LTS window in April 2023, and DSP will be deprecating support for Ubuntu 18.04 LTS in a future release. |
Deprecated features
The following table summarizes the features that are deprecated.
Deprecated feature | What do I need to know? | First deprecated |
---|---|---|
The Extract Timestamp function | The Extract Timestamp function is replaced with the Apply Timestamp Extraction function. | Version 1.2.0 |
The Merge Events function | The Merge Events function is replaced with the Apply Line Break function. | Version 1.2.0 |
The following connectors:
|
The deprecated connectors have been replaced by the following connectors, which specifically support source functions only or sink functions only:
After upgrading DSP to version 1.3.0, you'll need to recreate your connections using these new connectors and update your pipelines to use the new connections. See Upgrade the Splunk Data Stream Processor to 1.3.0 in the Install and administer the Data Stream Processor manual for more information. |
Version 1.3.0 |
The /streams/v3beta1/files endpoint.
|
Use the /streams/v3beta/lookups endpoint to upload a new CSV lookup file.
|
Version 1.3.0 |
Support for Ubuntu 16.04 LTS | Ubuntu 16.04 LTS reached the end of its five-year LTS window on April 30th 2021, and DSP deprecated support for Ubuntu 16.04 LTS after version 1.3.0. Users running DSP on Ubuntu 16.04 LTS were recommended to update their system to Ubuntu 18.04 LTS. | Version 1.3.1 |
Removed features
The following features have been removed from the as of version 1.4.0.
Pull-based connectors
As of version 1.4.0, DSP will no longer support the following source connectors:
- Amazon CloudWatch
- Amazon S3
- Amazon metadata
- Microsoft Azure Monitor
- Google Cloud Monitoring
- Microsoft 365
Streaming ML Plugin
As of version 1.3.0, the Streaming ML Plugin is no longer packaged with the . You won't be able to use any of the machine learning functions that were included in the Streaming ML Plugin. Make sure that you remove all machine learning functions in your pipelines before the upgrade. Upgrading without removing ML functions will result in unexpected product behavior. See Upgrade the Splunk Data Stream Processor to 1.3.0 for more information.
The machine learning functions that were removed as part of the Streaming ML Plugin are:
- Adaptive Thresholding
- Apply ML Model
- Datagen
- Drift Detection
- Pairwise Categorial Outlier Detection
- Sentiment Analysis
- Sequential Outlier Detection
- Time Series Decomposition (STL)
- estdc
- perc
Fixed Issues for DSP | Third-party credits in DSP |
This documentation applies to the following versions of Splunk® Data Stream Processor: 1.4.5
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