Learn the concepts and apply the knowledge through demonstrations, discussions and hands-on activities alerting in SignalFlow Advanced detecting and stream manipulation The SignalFlow REST API Prerequisite Knowledge Participant, Splunk Fundamentals 2 Splunk Credit Value: 100 Duration: 9 hours Time: 9am – 1.30pm AET Objectives – Working with Data Streams in Splunk Observability Cloud Describe the fundamentals of Data Stream objects detectors and alert rules using the REST API Prerequisite Knowledge Visualizing and Alerting Splunk

successful, students must have completed these Splunk Education course(s) or have equivalent working knowledge : How Splunk works Creating search queries Knowledge objects Using Fields - Audience Search Experts and Knowledge Managers Using Fields - Course Objectives Topic 1 – What are Fields? Comparing Temporary versus Persistent Fields Differentiate between temporary and persistent fields Create

Through in-person discussions and hands-on activities, learn to manually instrument applications to create Participant, Splunk Fundamentals 2 Splunk Credit Value: 50 Duration: 3 hours Time: 11am - 2 pm AEST Objectives Topic 2 – Manually Instrument Applications to Send Traces Describe instrumentation options Manually create successful, students must have completed these Splunk Education course(s) or have equivalent working knowledge in these areas are also highly recommended: Basic knowledge of programming languages (e.g.

Topics will cover how search modes affect performance, how to create an efficient basic search, how to successful, students must have completed these Splunk Education course(s) or have equivalent working knowledge : How Splunk works Creating search queries Creating reports and data models Search Optimisation - Audience Knowledge Manager learning path Search Optimisation - Course Objectives Topic 1 – Optimising Search – Report Acceleration Define acceleration and acceleration types Understand report acceleration and create

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. Participant, Splunk Fundamentals 2 Splunk Credit Value: 50 Duration: 3 hours Time: 9am – 12pm AET Objectives custom charts, dashboards, and dashboard groups to monitor Kubernetes Create custom detectors to monitor Required: Splunk Infrastructure Monitoring Fundamentals (ILT) Introduction to Splunk IM (eLearning) Basic knowledge

Great explanation of answers & not just reading the content. Very knowledgeable about all content. Course Prerequisites Required: Familiarity with Splunk IM Strongly Recommended: Basic knowledge of Visualisation Using Splunk APM to Monitor Microservices-based Applications - Course Objectives Module 1 – Overview Splunk APM-based terminology Navigate the Splunk APM pages Module 3– Troubleshooting Using Splunk APM Create detectors to alert on APM metrics Create custom dashboards Troubleshoot an issue after an alert triggers

After completing Splunk Fundamentals 1 course you will be able to Get working, hands-on knowledge of all aspects of Splunk from an end-users perspective Learn how to use the pivot tool to create charts Splunk Fundamentals 1 - Course Objectives Module 1 – Introduction How to Use the eLearning Interface Module 10 – Creating and Using Lookups Describe lookups Create a lookup file and create a lookup definition Describe Pivot Understand the relationship between data models and pivot Select a data model object Create

The instructor very knowledgeable and was able to provide useful examples during the course.. Course Prerequisites Splunk General Knowledge uberAgent Fundamentals Training - Audience This course business WFH environment Install and deploy uberAgent Manage custom metrics Apply common use cases Create connectivity Identifying network latency and bandwidth issues uberAgent Fundamentals Training - Course Objectives

Scenario-based examples and hands-on challenges enable users to create robust searches, reports, and Great explanation of answers & not just reading the content. Very knowledgeable about all content. completing Advanced Searching and Reporting course you will be able to Extend your basic search language knowledge Understand and use sub-searches Create advanced visualisations using extended search language Identify lookups Understand and be able to use the DB Connect App Advanced Searching and Reporting - Course Objectives

Phantom) Playbooks is an introductory course that prepares IT and security practitioners to plan, design, create Great explanation of answers & not just reading the content. Very knowledgeable about all content. automation flows Trigger user interactions, filtering and logic Developing SOAR (Phantom) Playbooks - Course Objectives and container data Formatting data Module 5 – Modular Playbook Development Calling other playbooks Creating Sending email Passing data between playbooks Module 6 – Custom Lists and Filters Custom list concepts Create

Topics will focus on using multivalue eval functions and multivalue commands to create, evaluate, and Multivalue Fields - Course Topics What are Multivalue Fields Creating Multivalue Fields Evaluating Multivalue successful, students must have completed these Splunk Education course(s) or have equivalent working knowledge Fields - Course Objectives Topic 1 – What are Multivalue Fields? Multivalue Fields Creating multivalue fields with the makemv command and the split function of the eval

This course focuses on creating inputs, chain searches, event annotations, and improving dashboard performance to Splunk Using Fields Search Optimization Introduction to Dashboards Dynamic Dashboards - Audience Knowledge Manager learning path Dynamic Dashboards- Course Objectives Topic 1 – Selecting a Data Source Identify Use a secondary data source Topic 2 – Adding Inputs Identify types of inputs Describe how inputs work Create Comparing Temporary versus Persistent Fields Differentiate between temporary and persistent fields Create