The new SOC4Kafka connector, built on OpenTelemetry, enables the collection of Kafka messages and forwards these events to Splunk. It serves as a replacement for the existing Kafka Connector (SC4Kafka) SOC4Kafka is designed to capture events published to Kafka topics and efficiently forward them to Splunk , SOC4Kafka empowers organizations to utilize Splunk's powerful analytics and visualization capabilities. This integration enables real-time monitoring, analysis, and valuable insights from collected event data.

The past few weeks have brought significant and exciting developments for the Splunk community! We've seen major advancements, exciting new features, and a wealth of knowledge shared. As we continue our "Strengthen Your Future" series, it’s the perfect time to reflect on some of the most impactful announcements and resources that are shaping the Splunk Platform.

Splunk developers, prepare for a game-changing update! The new Splunkbase App Listing Management public preview is here, streamlining your app submission experience. Enjoy powerful features like draft listings, a massive 2GB package limit, enhanced developer profiles, and a lightning-fast, automated AppInspect process that cuts review times from days to minutes. This is designed to supercharge innovation and ensure top-quality apps for all Splunk users.

Run powerful security analytics across Splunk and Amazon Security Lake without rehydrating or moving data. Learn how Splunk Federated Analytics enables faster, cheaper, and smarter threat detection.

Bringing you an awesome opportunity to take your data management and SPL2 skills to the next level! Join us for a 3-part technical workshop series happening from February-March. Harness the power of SPL2 to transform and route data with Edge Processor and Ingest Processor. Then, learn how to leverage SPL2 to build apps that extend the capabilities of the Splunk platform.

This blog post aims to give Splunk customers (both Splunk Enterprise and Splunk Cloud) a heads-up about the actions they’ll need to take to prepare for upgrading to a Splunk version(coming soon) that will upgrade its core cryptographic library from OpenSSL 1.0.2 to OpenSSL 3. Splunk may additionally produce an Upgrade Readiness experience that will assist customers in identifying specific action items they need to take, but we don’t want to wait for such tooling to become available to start taking action.

We are excited to announce several exciting updates for Edge Processor aimed at hardening overall product resiliency and support for additional data sources! Read more about data export queuing resilience, Edge Processor receiver acknowledgement from HEC sources, AWS Data Firehose support, and more. 

We’re excited to announce a powerful update to Splunk Data Management with added support for Amazon Data Firehose in Edge Processor! This enhancement enables you to use Amazon Data Firehose (formerly Amazon Kinesis Data Firehose) as a data source, offering greater flexibility and efficiency in managing data streams. With integration across over 20 AWS services, you now can easily stream data into Splunk from sources like Amazon CloudWatch, SNS, AWS WAF, Network Firewall, IoT, and more.

Announcing the latest enhancements to Splunk leading data management solution at the edge - Edge Processor - that make it even easier to work with just the data you want, nothing more, nothing less. Read on for more!

Splunk is pleased to announce the latest enhancements to Edge Processor that will help to optimize your data management needs to filter, mask, and route more intelligently. These include support for Lookups, RawHec and Cryptographic Functions. Read on for more!

Log management can be a daunting task for organizations dealing with a multitude of log sources. In this article, we introduce a practical solution aimed at improving resource efficiency and cost-effectiveness for Splunk customers. Our approach utilizes Edge Processor to strategically extract and store only pertinent data within the Splunk platform while efficiently routing the remaining data to Amazon S3 for long-term storage. Discover how this pragmatic solution can streamline your log management processes and deliver tangible benefits to your organization.