This 4.5-hour virtual course, targeted towards developers and DevOps, focuses on creating custom metrics to monitor your applications/services with Splunk IM. Learn to instrument applications/services to send in custom metrics that characterize the application of service. Define relevant metadata for your metrics to let you find, filter and aggregate the metrics that you want to chart or alert on. Create charts and custom dashboards to visualize these custom metrics. Create detectors to monitor the metrics to alert when there are any issues with the application or service. This course assumes that you have completed the Splunk Infrastructure Monitoring Fundamentals course. Learn the concepts and apply the knowledge through discussions and hands-on activities.
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This 1-day virtual course targeted to developers and DevOps enables you to instrument your applications to send traces to Splunk APM. Through in-person discussions and hands-on activities, learn to deploy the Splunk OpenTelemtry Connector on a Linux host. Use auto-instrumentation to send in traces without altering your code. Use manual instrumentation to create spans and add metadata to spans. This course assumes familiarity with navigating Splunk APM which is covered in the course Using Splunk Application Performance Monitoring.
This lab-orientated class is designed to help you learn the fundamentals of instrumenting your code to send in traces. All hands-on labs are in Python and Java. -
This 18 hour Implementing Splunk IT Service Intelligence course is designed for administrator users who will implement Splunk IT Service Intelligence for analysts to use. The first day includes the day of content from Using Splunk IT Service Intelligence.
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This eLearning course teaches students about how different types of knowledge objects to extract additional insights from their data. Students will learn the basics of how to create knowledge objects, define their settings, edit, and manage existing knowledge objects.
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This three-hour course is designed for power users who want to learn best practices for building dashboards in the Dashboard Studio. It focuses on dashboard creation, including prototyping, the dashboard definition, layouts types, adding visualizations, and dynamic coloring.
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This 4-day course is designed for the experienced Splunk administrators who are new to Splunk DSP. This hands-on class provides the fundamentals of deploying a Splunk DSP cluster and designing pipelines for core use cases. It covers installation, source and sink configurations, pipeline design and backup, and monitoring a DSP environment.
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This virtual course targeted to SREs and DevOps enables you to monitor and troubleshoot your Kubernetes clusters with Splunk Observability Cloud. Through discussions and hands-on activities, learn to explore and use the Kubernetes Navigator, built-in dashboards, and AutoDetect to monitor the health of your cluster. Create custom dashboards and detectors to monitor and troubleshoot common Kubernetes trouble conditions. This course assumes basic knowledge of Kubernetes and familiarity with navigating Splunk IM.
This lab-oriented class is designed to help you learn best practices and tips to use Splunk Observability Cloud to monitor and troubleshoot Kubernetes clusters. All hands-on labs are performed in the Observability Cloud UI.
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This three-hour course is designed for power users who want to learn how to use lookups and subsearches to enrich their results. Topics will focus on lookup commands and explore how to use subsearches to correlate and filter data from multiple sources.
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This single subject course targeted to developers enables you to manually instrument your applications to send traces to Splunk APM. Through in-person discussions and hands-on activities, learn to manually instrument applications to create spans and add metadata to spans. This course assumes familiarity with navigating Splunk APM which is covered in the course Using Splunk Application Performance Monitoring.
This lab-oriented class is designed to help you learn the fundamentals of instrumenting your code to send in traces and trace metadata. All hands-on labs are in Python and Java.
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This three-hour course is for power users who want to become experts on searching and manipulating multivalue data. Topics will focus on using multivalue eval functions and multivalue commands to create, evaluate, and analyze multivalue data.
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This SPLK-PUSRFS: Power User Fast Start course covers over 60 commands, functions, and knowledge objects to provide users with actionable information about searching best practices and knowledge management.
Students will learn how to effectively utilize time in searches, work with different time zones, use transforming commands and eval functions to calculate statistics, compare field values with eval functions and eval expressions, manipulate output, normalize fields and field values, correlate and filter data from multiple sources, and create, manage, and share knowledge objects.
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This four-hour course is for power users who want to use commands to manipulate output and normalize data. Topics will focus on specific commands for manipulating fields and field values, modifying result sets, and managing missing data. Additionally, students will learn how to use specific eval command functions to normalize fields and field values across multiple data sources.
