SPLK-4001: Splunk O11y Cloud Metrics User Skills

Contents

What You’ll Learn Requirements Description Who this course is for:

What
You’ll Learn

Metrics Monitoring with Splunk O11y Cloud: Understanding how to ingest
visualize
and analyze metrics using the Metrics Workspace.
Data Management: How to manage and manipulate time-series data within Splunk O11y Cloud
including creating metric queries and understanding the platform’s Metr
Alerting and Notifications: Setting up alerting mechanisms based on metric data
creating custom thresholds
and integrating with other systems for notification
Dashboards and Visualizations: Building custom dashboards to visualize metric data
including using different visualization techniques to gain insights from tim

Requirements

Basic understanding of cloud computing and cloud services.
Familiarity with basic metrics concepts and monitoring practices.
Prior experience with Splunk or similar observability tools (helpful but not required).

Description

The SPLK-4001: Splunk O11y Cloud Metrics User course is designed to help individuals master the Splunk Observability Cloud (O11y) for managing and analyzing cloud metrics. This course equips learners with the knowledge and skills required to leverage Splunk’s powerful cloud-native capabilities to monitor, analyze, and optimize the performance of cloud applications and infrastructure.

As organizations increasingly adopt cloud environments, the need for real-time monitoring and visibility into cloud systems has become critical. This course provides an in-depth understanding of how to utilize Splunk’s Observability Cloud for cloud metrics, enabling users to proactively manage cloud applications and services, identify performance bottlenecks, and make data-driven decisions.

Key Features of the Course:

Understanding Cloud Metrics: Gain a foundational understanding of cloud metrics, including what they are, how they are collected, and how they contribute to the overall performance and health of cloud applications and infrastructure.
Getting Started with Splunk O11y Cloud: Learn how to set up and configure the Splunk Observability Cloud environment to collect cloud metrics efficiently. Understand the integration process with different cloud services and tools, as well as how to manage data sources.
Metric Collection and Visualization: Learn how to collect various types of metrics, such as infrastructure metrics, service metrics, and application performance metrics. Understand how to create meaningful visualizations and dashboards to provide insights into system performance.
Analyzing Metrics for Troubleshooting: Understand how to use Splunk O11y Cloud’s advanced querying and filtering features to analyze cloud metrics, detect issues, and troubleshoot problems quickly. Gain hands-on experience in identifying performance issues, such as latency, errors, and resource constraints, that may impact cloud applications.
Setting Alerts and Notifications: Learn how to configure custom alerts and set up automated notifications based on thresholds or specific metrics. Ensure that critical system conditions are detected and communicated in real-time to take immediate corrective action.
Optimizing Performance: Explore how to use cloud metrics data for performance optimization. Learn how to identify trends, analyze historical data, and predict future performance, enabling you to proactively manage resources, improve scalability, and reduce downtime.
Best Practices and Security: Dive into best practices for using Splunk O11y Cloud in a secure and efficient way. Learn about data privacy considerations, security controls, and how to ensure that your metric data is protected while meeting compliance requirements.