Elastic Certified Observability Engineer Course Overview

Certainly! Below are the minimum required prerequisites for students interested in undertaking the Elastic Certified Observability Engineer course:

• Basic understanding of system administration, including familiarity with command-line tools and operating system environments (Linux, Windows, or macOS).
• Fundamental knowledge of networking concepts and protocols (like TCP/IP).
• Experience with any programming or scripting language (e.g., Python, Bash, PowerShell) is beneficial but not mandatory.
• An introductory level of knowledge about the Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is recommended.
• Familiarity with monitoring and alerting systems concepts would be helpful.
• Basic understanding of JSON (JavaScript Object Notation) format, as it is commonly used for structured logging.
• An interest in learning about observability and a willingness to engage with the Elastic Stack's features and capabilities.

Please note that while prior experience with the Elastic Stack is beneficial, the course is designed to guide students through the necessary concepts and tools to become proficient Elastic Certified Observability Engineers.

Target Audience for Elastic Certified Observability Engineer

1. The Elastic Certified Observability Engineer course is designed for IT professionals focusing on monitoring, logging, and application performance management (APM).

   
   

2. Target Audience Job Roles:

   
   

• DevOps Engineers
• Site Reliability Engineers (SREs)
• System Administrators
• IT Operations Staff
• Cloud Infrastructure Engineers
• Application Developers
• Software Architects
• Security Analysts
• Data Analysts
• Technical Support Engineers
• Network Engineers who are involved in monitoring and troubleshooting
• Performance Engineers
• Observability and Monitoring Consultants

Learning Objectives - What you will Learn in this Elastic Certified Observability Engineer?

1. The Elastic Certified Observability Engineer course equips students with the expertise to monitor systems' uptime, collect metrics, manage logs, utilize APM, and process observability data effectively.

2. Learning Objectives and Outcomes:

• Understand the principles and practices of system uptime monitoring and implement solutions using Elastic Uptime.
• Collect and analyze metrics data from various sources using Elastic Metrics and related tools.
• Manage and interpret log data efficiently to gain insights into system performance and health with Elastic Logging.
• Utilize Elastic APM to monitor application performance, identify bottlenecks, and optimize response times.
• Structure and process observability data to ensure scalability, reliability, and actionable insights.
• Explore the use of Elasticsearch, Logstash, Kibana, and Beats for comprehensive observability across systems and applications.
• Implement effective data ingestion pipelines to capture real-time metrics, logs, and traces.
• Develop skills to configure and manage alerts and notifications for proactive incident response.
• Gain proficiency in querying and visualizing observability data to support decision-making processes.
• Prepare for the Elastic Certified Observability Engineer exam with a thorough understanding of Elastic Stack observability features.