Splunk Data Stream Processor

Learn Courtney Wright

This blog post contains important information regarding Splunk Data Stream Processor (DSP).

Effective immediately, DSP is no longer available for sale to new customers. Please read on for consideration of other available Splunk solutions that address similar use cases.

End of support for DSP version 1.3 has been modified from March 30, 2024 to July 1, 2023 in order to align with the end of life for Gravity, a Kubernetes orchestrator that was part of DSP releases prior to version 1.4. Existing DSP customers are encouraged to upgrade to version 1.4 for continued support through February 2025, as per the Splunk Software Support Policy.

About Splunk Data Stream Processor

Splunk Data Stream Processor is a real-time stream processing solution that collects and processes high-volume, high-velocity data then delivers results to Splunk and other destinations, in milliseconds. It provides a powerful and flexible way to manage and manipulate data streams by applying filters, transformations, and aggregations in real-time.

DSP is designed to handle large and complex data streams, including data from IoT devices, social media platforms, and machine logs. It provides a scalable architecture that can handle millions of events per second and can be deployed on-premises or in the cloud.

What To Use Instead

Splunk offers other solutions for your data transformation and processing needs:

More resources

Here are additional resources that can help you to adopt Splunk in your environment:

Related Articles

Log Monitoring with AI: What Makes Monitoring Intelligent?
Learn
4 Minute Read

Log Monitoring with AI: What Makes Monitoring Intelligent?

Monitoring log data offers so many benefits and proactive approaches in your organization. Understand what using AI for log monitoring can do, too.
What is Predictive Modeling? An Introduction
Learn
8 Minute Read

What is Predictive Modeling? An Introduction

Learn the fundamentals of predictive modeling, its role in analytics, and its applications in IT, cybersecurity, business, and advanced machine learning.
What is Cybersecurity Analytics?
Learn
9 Minute Read

What is Cybersecurity Analytics?

Learn how security analytics detects & mitigates cyber threats. Understand features of security analytics tools, proactive approaches & benefits