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.

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.