What are Community Office Hours?
Community Office Hours is an interactive 60-minute Zoom series where participants can ask questions and engage with technical Splunk experts on various topics. Whether you're just starting your journey with Splunk or looking for best practices to take your deployment to the next level, Community Office Hours provides a safe and open environment for you to get help.
If you have an issue you can’t seem to resolve, have a question you’re eager to get answered by Splunk experts, are exploring new use cases, or just want to sit and listen in, Community Office Hours is for you!
What are Tech Talks?
Tech Talks are designed to accelerate adoption and ensure your success. In these engaging 60-minute sessions, we dive deep into best practices, share valuable insights, and explore additional use cases to expand your knowledge and proficiency with our products.
Whether you're looking to optimize your workflows, discover new functionalities, or troubleshoot challenges, Tech Talks is your go-to resource.
OBSERVABILITY
Office Hours | Splunk Infrastructure Monitoring | June 17, 2025 at 1pm PT | What can I ask in this AMA? - What are some enhancements to the Kubernetes Monitoring experience in Splunk IM?
- How do I use and customize Kubernetes navigators?
- What are best practices for optimizing Kubernetes alerts and troubleshooting workflows?
- Is there a way to view Kubernetes logs correlated with metrics?
- What are some top services that I should be monitoring?
- Anything else you'd like to learn about!
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PLATFORM
Office Hours | Platform: Federated Data Management | June 18, 2025 at 1pm PT | What can I ask in this AMA? - How do Data Management, Federated Search, and Federated Analytics work together? Can I get a demo?
- How can I optimize my data design according to its use case (detection, investigation, threat hunting, compliance, etc.)?
- How does Splunk enable data federation across Amazon Security Lake and S3? What tools are available to me?
- How can I onboard data from any data store or end points?
- How can I start filtering and routing data with Edge Processor or Ingest Processor?
- How can I optimize my Edge Processor or Ingest Processor pipelines?
- Anything else you’d like to learn!
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