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.
Create an SPL2 statement that generates metrics from your log data based on extracted fields - now enhanced with voiceover narration to provide clearer instruction and improved accessibility.
Create a connection to your Splunk Observability Cloud deployment from the system connections page in Splunk Cloud Platform - now enhanced with voiceover narration to provide clearer instruction and improved accessibility.
Starting from scratch with synthetic testing of your web properties and APIs can be difficult. Questions like “what should we be testing?” will very quickly become exercises in figuring out “how can we actually do that?” which may involve sifting through various elements of the DOM or JSON responses. But there are shortcuts to synthetic testing mastery!
Observability isn’t about collecting more telemetry — it’s about making that telemetry data meaningful. Contextual observability transforms raw telemetry into actionable insights by enriching it with consistent tagging and metadata. Without context, telemetry data remains fragmented, troubleshooting slows, and aligning with business priorities is nearly impossible.
Business process automation no longer sits on the sidelines. What was once an emerging technology is now the engine behind modern business operations. In fact, around 60% of companies already use automation tools in their workflows, according to Duke University. This is not just companies — developers are also contributing to this shift by adopting low-code, no-code, and digital process automation platforms. These new tools remove barriers that once slowed innovation.
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.