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Copy file name to clipboardExpand all lines: content/en/ninja-workshops/1-automatic-discovery/_index.md
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title: Automatic Discovery Workshops
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description: Automatic Discovery Workshops
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description: Learn how to leverage Splunk's automatic discovery and configuration capabilities for Java applications. These workshops demonstrate zero-code instrumentation to instantly generate metrics, traces, and logs for comprehensive observability across monolith and Kubernetes deployments.
Copy file name to clipboardExpand all lines: content/en/ninja-workshops/11-ingest-processor-for-observability-cloud/_index.md
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weight: 11
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archetype: chapter
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authors: ["Tim Hard"]
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description: Scenario Description
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description: Learn how to optimize observability costs and improve MTTD by transforming logs into metrics using Splunk Ingest Processor with hands-on exercises in Splunk Observability Cloud.
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As infrastructure and application environments become exceedingly complex, the volume of data they generate continues to grow significantly. This increase in data volume and variety makes it challenging to gain actionable insights and can impact problem identification and troubleshooting efficiencies. Additionally, the cost of storing and accessing this data can skyrocket. Many data sources, particularly logs and events, provide critical visibility into system operations. However, in most cases, only a few details from these extensive logs are actually needed for effective monitoring and alerting.
Copy file name to clipboardExpand all lines: content/en/ninja-workshops/14-cisco-ai-pods/_index.md
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archetype: chapter
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time: 2 minutes
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authors: ["Derek Mitchell"]
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description: By the end of this workshop you'll have experience deploying and working several of the technologies that are used to monitor Cisco AI Pods with Splunk Observability Cloud. This includes deploying an OpenTelemetry Collector in a Red Hat OpenShift cluster, using Prometheus receivers with the collector to ingest infrastructure metrics, and configuring APM to monitor Python services that interact with Large Language Models (LLMs).
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description: This hands-on workshop demonstrates how to monitor Cisco AI Pods with Splunk Observability Cloud. Learn to deploy the OpenTelemetry Collector in Red Hat OpenShift, ingest infrastructure metrics using Prometheus receivers, and configure APM to monitor Python services that interact with Large Language Models (LLMs).
Copy file name to clipboardExpand all lines: content/en/ninja-workshops/15-AppDynamics-Workshop/_index.md
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title: Splunk4Ninjas AppDynamics
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weight: 15
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time: 2 minutes
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description: In this Lab you learn how to use AppDynamics to monitor the health of your application services.
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description: Learn how to use Splunk AppDynamics for full-stack application performance monitoring, from installing Java APM agents and monitoring application health to troubleshooting performance issues, tracking browser metrics with BRUM, analyzing database performance, and gaining business insights with Business IQ.
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## Introduction
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Splunk AppDynamics is a full-stack performance monitoring solution for your critical business applications that offers the following features:
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- Consistent end-to-end application monitoring, regardless of environment, traditional, hybrid, or cloud-native.
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You can optimize the total cost of ownership by leveraging existing personnel, processes, and training on AppDynamics platform for traditional, cloud, or hybrid deployments.
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## Workshop Overview
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In this workshop, we’ll cover the fundamentals of Splunk AppDynamics. We'll demonstrate how Splunk AppDynamics enables you to monitor the health of your application services, Web Applications, Databases and more. When you have completed this workshop, you will be able to :
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In this workshop, we’ll cover the fundamentals of Splunk AppDynamics. We'll demonstrate how Splunk AppDynamics enables you to monitor the health of your application services, Web Applications, Databases and more. When you have completed this workshop, you will be able to :
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- Download and install the AppDynamics Java APM Agent.
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- Configure collection settings in the Controller.
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- Monitor server health and troubleshoot issues
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- Monitor the health of your browser based application with BRUM
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- Monitor and troubleshoot Database performance
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- Gain deeper visibility into your users with Splunk AppDynamics Business IQ
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- Gain deeper visibility into your users with Splunk AppDynamics Business IQ
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## Additional Work to be Done
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## Additional Work to be Done
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- Add a section covering health rules, how to view existing ones, create new health rule..
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- Application Security
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- Add a section covering health rules, how to view existing ones, create new health rule
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title: Monitoring Horizontal Pod Autoscaling in Kubernetes
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linkTitle: Horizontal Pod Autoscaling
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description: This workshop will equip you with the basic understanding of monitoring Kubernetes using the Splunk OpenTelemetry Collector
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description: Learn to monitor Kubernetes Horizontal Pod Autoscaling (HPA) with the Splunk OpenTelemetry Collector, exploring metrics, events, and auto-scaling behavior in real-time
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weight: 2
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authors: ["Robert Castley"]
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time: 45 minutes
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This workshop will equip you with a basic understanding of monitoring Kubernetes using the Splunk OpenTelemetry Collector. During the workshop, you will deploy PHP/Apache and a load generator.
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This hands-on workshop teaches you how to monitor Kubernetes Horizontal Pod Autoscaling (HPA) using the Splunk OpenTelemetry Collector. You'll deploy a PHP/Apache application with a load generator to trigger auto-scaling events and observe the complete scaling lifecycle.
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You will learn about OpenTelemetry Receivers, Kubernetes Namespaces, ReplicaSets, Kubernetes Horizontal Pod AutoScaling and how to monitor all this using the Splunk Observability Cloud. The main learnings from the workshop will be a better understanding of the Kubernetes Navigator (and Dashboards) in Splunk Observability Cloud as well as seeing Kubernetes metrics, events and Detectors.
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Through practical exercises, you'll explore OpenTelemetry Receivers, Kubernetes Namespaces, ReplicaSets, and HPA mechanics while monitoring everything in Splunk Observability Cloud. You'll master the Kubernetes Navigator, build custom dashboards, analyze metrics and events, and configure detectors to alert on scaling activities.
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For this workshop, Splunk has prepared an Ubuntu Linux instance in AWS/EC2 all pre-configured for you.
Copy file name to clipboardExpand all lines: content/en/ninja-workshops/7-dashboards-detectors/_index.md
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title: Dashboard Workshop
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description: Dashboard
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description: Learn to build insightful visualizations and custom dashboards using Splunk Observability Cloud's charting capabilities, filters, analytical functions, and SignalFlow
Copy file name to clipboardExpand all lines: content/en/ninja-workshops/8-docker-k8s-otel/_index.md
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archetype: chapter
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time: 2 minutes
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authors: ["Derek Mitchell"]
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description: By the end of this workshop you'll have gotten hands-on experience instrumenting a .NET application with OpenTelemetry, then Dockerizing the application and deploying it to Kubernetes. You’ll also gain experience deploying the OpenTelemetry collector using Helm, customizing the collector configuration, and troubleshooting collector configuration issues.
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description: This hands-on workshop guides you through instrumenting a .NET application with OpenTelemetry, containerizing it with Docker, and deploying it to Kubernetes. You'll learn to deploy and configure the OpenTelemetry collector using Helmand troubleshoot common configuration issues.
Copy file name to clipboardExpand all lines: content/en/ninja-workshops/9-solving-problems-with-o11y-cloud/_index.md
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archetype: chapter
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time: 2 minutes
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authors: ["Derek Mitchell"]
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description: By the end of this workshop you'll have gotten hands-on experience deploying the OpenTelemetry Collector, instrumenting an application with OpenTelemetry, capturing tags from the application, and using Troubleshooting MetricSets and Tag Spotlight to determine the root cause of an issue.
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description: Learn how to deploy and configure the OpenTelemetry Collector, instrument applications with OpenTelemetry, and leverage Troubleshooting MetricSets and Tag Spotlight to identify and resolve performance issues in Splunk Observability Cloud.
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