Operations | Monitoring | ITSM | DevOps | Cloud

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Are you looking to explore the power of OpenTelemetry and Splunk Observability Cloud in a Kubernetes environment? This video provides a comprehensive, step-by-step walkthrough on how to deploy the OpenTelemetry Demo application in Kubernetes and seamlessly integrate it with Splunk Observability Cloud for metrics, traces, and logs! In this tutorial, you'll learn.

In this Tech Talk, we’ll show you how Splunk’s agentic, AI observability delivers end-to-end visibility of the entire AI stack, from agents and large language models (LLMs) to the underlying infrastructure. You’ll see how AI Infrastructure Monitoring provides teams with data-dense dashboards and detectors for surfacing trends, patterns, and outliers to correlate application health with underlying AI infrastructure performance.

As digital and AI applications become more prevalent, the need for fast, efficient, and consistent management of IT operations is critical. This session will show you how to automate responses to Splunk Observability Platform alerts using Red Hat Ansible Automation Platform's Event-Driven Ansible.

In this session, you will learn how to.

In this video, we'll go over 4 of the most common scenarios you might encounter when trying to setup your Splunk MCP server and provide you with troubleshooting tips to help you get you up and running.

In this video, I introduce Database Monitoring in Splunk Observability Cloud. I'll demonstrate how to spot and resolve slow queries by leveraging rich metrics and correlating database performance directly with traces in Splunk Observability Cloud APM. TOC.

Over 30% of your production logs might be useless DEBUG logs! This "bad telemetry" is expensive noise. The KubeCon talk I attended introduced a project called the Instrumentation Score which helps you find and fix bad telemetry.

How do you get developers to instrument their code? You stop asking! Instead, pitch the value of observability by building them dashboards and implementing the no-code change solutions first, demonstrating the value of instrumentation.

Without strong visibility and governance, local LLMs risk replicating the fragmented, unsupervised sprawl once seen in shadow IT, complicating security postures and making it difficult for organizations to ensure proper oversight and compliance as these powerful AI tools become embedded in daily workflows. To address this challenge, The Splunk Threat Research Team has released the Splunk Technology Add-on for Ollama that provides comprehensive monitoring and observability capabilities specifically designed for local LLM deployments.