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.
The data platform that helps turn data into action for Observability, IT, Security and more.
Splunk’s extensible data platform powers unified security, full-stack observability and limitless custom applications.
The Splunk platform removes the barriers between data and action, empowering observability, IT and security teams to ensure their organizations are secure, resilient and innovative.
Founded in 2003, Splunk is a global company — with over 7,500 employees, 850 patents and availability in 21 regions around the world — and offers an open, extensible data platform that supports shared data across any environment so that all teams in an organization can get end-to-end visibility, with context, for every interaction and business process.
Recommended Splunk blogs:
- The Value of Data: The ROI of Splunk Training for Organizations
- Why Splunk Certification is a Game-Changer for Your Career in 2025
- Splunk for IT Professionals: Key Skills to Stay Ahead in 2025
Build a strong data foundation with Splunk training and certification today offered by Trainocate Malaysia.
-
The Splunk Core Certified Advanced Power User course is designed to take your Power User skills to the next level. It focuses on complex searching and reporting, advanced use cases of knowledge objects, and best practices for dashboards and forms.
-
This blended course is for Devops/SREs and Developers.
The course describes ways to enhance dashboards and alerts to help with troubleshooting. You will also be able to
find insights using analytics in charts and detectors and to create detectors for common use cases. -
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.
-
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.
-
This course is targeted towards Splunk On-call admins responsible for setting up incident response with Splunk On-Call. This 4.5-hour virtual course describes the tasks required to set up on-call teams, including defining schedules, on-call rotations and shifts. Learn to set-up and configure alerts and integrations. Create post incident review reports, track response metrics and customize reports. Use advanced features such as the Rules engine for advanced customization and configure webhook integrations. All concepts are taught using lectures and scenario-based hands-on activities.
-
This single subject course targeted to DevOps enables you to learn configuration techniques to send traces to Splunk APM. Through inperson discussions and hands-on activities, learn to deploy the Splunk OpenTelemetry Collector on a Linux host. Use the OpenTelemetry Collector to configure processor components to modify trace metadata. Use auto-instrumentation to send in traces without altering your code. Enable AlwaysOn profiling to monitor code performance. This course assumes familiarity with navigating Splunk APM which is covered in the course Using Splunk Application Performance Monitoring.
-
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.
-
This 9-hour virtual course targeted towards DevOps, Observability and SRE teams is a follow-up to the course “Automation Using the REST and SignalFlow APIs”. Learn to use the Splunk IM Terraform provider to manage Splunk IM resources for visualization, alerting and teams. Create and manage detectors and muting rules. Learn to create and modify teams including team notification policies. All concepts are taught through discussions and hands-on lab exercises.
-
Splunk IM exposes a comprehensive API that allows you to automate any action that can be done using the User Interface. This 2-day virtual course provides the foundation for you to use the API to automate bulk actions such as the creation of charts, dashboards, and alerts. See how to programmatically perform computations that can be used in charts and detectors or streamed in real-time. Use the API to manage Splunk IMteams.
-
This course is designed for developers responsible for debugging their own applications, and for SREs responsible for troubleshooting performance issues. Splunk Log Observer is built primarily for DevOps teams working on applications built on modern tech stacks (containerized microservices). However, the course can be taken by anyone who wants to view recent log data in a no-code environment.
This 4.5-hour course describes how to use the tool to work with log data using the no-code user interface. Learn to create, save, and share search filters, and to investigate the shape of your log data. Learn to add log messages to dashboards. Analyze logs with aggregation functions and group by rules. Create rules to manipulate incoming data and generate synthetic metrics from log data.
All concepts are taught using lectures and scenario-based hands-on activities.
-
This course serves as the foundation for all other Splunk Observability courses. It is targeted towards DevOps/SRE/Observability teams, Senior On-call Engineers, Onboarding and Monitoring Strategists and Developers. This 6-hr course provides a fundamental understanding of Metrics Monitoring in Splunk Observability such as the metrics data model and different types of metadata. See how you can interact with data using built-in content, search for metrics, find more information about a metric, visualize and alert on metrics. Learn to use appropriate rollups, interpret chart data based on chart resolution, rollups, and analytic functions. All concepts are taught using lectures and scenario-based hands-on activities.
