Course summary
Observability is an attribute of a system you build, much like usability, high availability, and stability. The goal of designing and building an observable system is to make sure that when it is running, operators responsible for it can detect undesirable behaviors and have actionable information to pin down the root cause in an effective manner. This course provides a strong foundation on using Elastic to implement unified observability with a single platform. You will learn how to collect logs, metrics, uptime and APM data, and then ship them to a single datastore — Elasticsearch. You will also learn how unified observability data can be made even more actionable through machine learning and alerting, as well as easier to correlate data across different sources. Using Kibana, you will also explore how to visualize your observability data through an intuitive user interface. After completing this course, you will be well on your way to becoming an Elastic Certified Observability Engineer.
- Topics
- Audience
- Duration
- Pre-reqs
- Requirements
Topics
- Collecting logs and metrics
- Collecting APM data
- Working with Observability data
- Structuring and processing data
- Actionable observability data
- Visualizing observability data
- Managing observability data
Topics
- Collecting logs and metrics
- Collecting APM data
- Working with Observability data
- Structuring and processing data
- Actionable observability data
- Visualizing observability data
- Managing observability data
Audience
Software Developers, Software Engineers, Data Architects, System Administrators, DevOps
Duration
24 Hours
Please check scheduled dates and language specific deliveries
Pre-Reqs
- No prior knowledge of the Elastic Stack required
- Working knowledge of Linux terminal commands and editors recommended
Requirements
- Stable internet connection
- Mac, Linux, or Windows
- Latest version of Chrome or Firefox (other browsers not supported)
- Disable any ad blockers and restart your browser before class
- Elastic trainings are delivered in multiple languages, please confirm you are selecting a course in your language
Course Details
Virtual
10:00 am - 4:30 pm
10:00 am - 4:30 pm
10:00 am - 4:30 pm
10:00 am - 4:30 pm
(Europe - Amsterdam Time Zone)
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