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Build an Ingest Processor pipeline that ingests data matching partition conditions and sends it to your chosen destination - now enhanced with voiceover narration to provide clearer instruction and improved accessibility.

Save and apply your complete pipeline to begin ingesting and processing data, then verify its activity on the Ingest Processor page in Splunk Cloud Platform.

This video introduces you to Splunk's new data management capabilities: filter, mask and route Cisco ASA Data in Splunk Edge Processor, empowering businesses to run operations efficiently while meeting compliance requirements, making it a powerful tool for addressing modern business challenges.

Build an Ingest Processor pipeline that ingests data matching partition conditions and sends it to your chosen destination.

In this video, we'll explore practical ways to utilize the AI Assistant in Splunk Observability Cloud. Through real-world scenarios, learn how the AI Assistant can help you interpret metrics, contextualize data, onboard new team members to your organization, and automate tasks via the Splunk Observability Cloud API. AI Assistant in Splunk Observability Cloud enhances observability by providing actionable insights and streamlining workflows.

In this video, we’ll provide practical, real-time examples demonstrating how to effectively use the AI Assistant in Splunk Observability Cloud. You'll learn how the AI Assistant can quickly identify unknown issues in your environment, perform detailed root cause analysis, analyze service performance and deployment impacts, and even help manage infrastructure costs and compliance. TOC.

In this video, we'll explore OpenTelemetry's declarative configuration feature, a powerful new method to configure the OpenTelemetry SDK using a YAML file without the complexity and overhead of programmatic instrumentation. I'll demonstrate this with a simple Go application instrumented using declarative configuration, sending metrics, traces, and logs to Splunk Observability Cloud. We'll cover: Resources.

Join us in this session and learn how Splunk can help you build a standardized observability practice. From implementing an observability-as-code service to role-based access controls (RBAC), Token Management, Metrics Pipeline Management, and OpenTelemetry, learn how to create an Observability platform to optimize your metrics usage and costs while managing workloads efficiently.

Imagine you have Cisco ASA logs that you want to onboard to the Splunk platform and Observability Cloud, but not all the logs need to be onboarded; some need to stay on low-cost storage like S3. In addition, you must mask or encrypt data before the logs are onboarded to these platforms. In this video, we will explore how Splunk Federated Data Management can assist with this challenge and help maximize the value of your data.

In this tutorial, we’ll demonstrate how to create and use private locations in Splunk Synthetic Monitoring to test internal or pre-production applications within a Kubernetes environment. You'll learn exactly what private locations and private runners are, common use cases, and step-by-step instructions on how to deploy a private runner using Helm. Finally, you'll see how to set up a simple browser test to run synthetics against a service available only within a Kubernetes cluster.