TECH TALKS

Building a Self-Service and Scalable Observability Practice

As engineers and ITOps professionals, you’re often responsible for rolling out practices or standardized internal developer platforms (IDPs) across your organization to improve developer experience and productivity, while managing costs and usage. But you also often deal with outdated and disconnected tools, which hinder shared visibility, CI/CD pipelines as well as cost and access control.

An efficient and scalable observability platform needs to support a self-service model for engineers to remove bottlenecks, and the right enterprise controls and guardrails to guarantee organization requirements while providing a safety net for when teams get it wrong.

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.

Tune in to find out how to:

• Design a Self-Serve Observability platform
• Take full advantage of OpenTelemetry (OTel) to increase velocity and reduce technical debt
• Foster a culture of Observability in your organization
• Automate data instrumentation with OpenTelemetry (OTel)
• Safeguard your data with advanced RBAC capabilities
• Measure and manage tenant usage and costs efficiently while scaling using access tokens, Metrics Pipeline Management, and Archived Metrics
• Automate monitoring safely with code-level observability

And much more!

Our Speakers