course | Elastic Observability
Boost your profile through Elastic Observability. Expert trainers, practical exercises, and recognized certification in GCC.
IT-801 | Elastic Observability
Course Sector : Information Technology
| Duration | Date from | Date to | Course Venue | Course fees | Book a course |
|---|---|---|---|---|---|
| 5 Days | 02/11/2026 | 06/11/2026 | Dubai | $4,250 | Book now |
| 5 Days | 14/03/2027 | 18/03/2027 | Riyadh | $4,250 | Book now |
| 5 Days | 26/04/2027 | 30/04/2027 | Dubai | $4,250 | Book now |
| 5 Days | 19/07/2027 | 23/07/2027 | London | $4,950 | Book now |
Course Introduction
Elastic observability allows the unification of logs, infrastructure metrics, uptime data, application traces, user experience data, and synthetics. 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 training course is designed to provide participants with the essential concepts and fundamental skills for achieving observable systems with Elastic Observability. This course will explore topics such as how to unify your logs, metrics, and APM data in the Elasticsearch Service on Elastic Cloud with the ability to automatically correlate this data in an intuitive user interface.
Course objective
- Gain a comprehensive understanding of the main pillars of observability (logs, metrics, and APM) and why it is important to collect these types of data.
- Understand how machine learning and uptime data make your systems more observable.
- Discover how to deploy Elastic Observability on Elastic Cloud with Fleet and Elastic Agent.
- Understand how detailed event logs show whether systems are running as smoothly as possible.
- Learn how granular resource usage information gives important insights into how an infrastructure is running.
- Explore how application traces give detailed information about performance and errors inside your applications and services.
Course audience
- Software Developers
- Software Engineers
- Data Architects
- System Administrators
- DevOps
Course Outline | Day 01
Elastic Observability
- The main pillars of observability (logs, metrics, and APM)
- Importance of collecting these types of data
- How machine learning and uptime data make your systems more observable.
- Deploying Elastic Observability on Elastic Cloud with Fleet and Elastic Agent.
- How to start exploring your observability data.
Course Outline | Day 02
Metrics
- What are metrics?
- Difference of metrics from logs, and why they need to be measured
- How Elastic Agent can be used to collect metrics from your system
Logs
- Common questions we ask of our data and how logs can help answer those questions.
- Event data, timestamps, and the log lifecycle
- How the Elastic Agent can be used to collect logs from your system.
Course Outline | Day 03
APM
- How Elastic APM can help monitor your applications and services in real time, as well as which Elastic Stack components make that happen.
- How Elastic APM supports distributed tracing
- How Elastic APM enables you to analyze performance throughout your microservice architecture, all in one view.
Course Outline | Day 04
Structuring and processing data
- Structuring and processing unstructured data using Elasticsearch ingest nodes.
- Using the dissect processor to structure your data before indexing it into Elasticsearch.
- Using ingest pipelines for converting, enriching and processing your data in any way you want.
Course Outline | Day 05
Data Collection
- Collecting logs and metrics
- Collecting APM data
- Working with Observability data
- Actionable observability data
- Visualizing observability data
- Managing observability data
BOOST’s Professional Attendance Certificate “BPAC”
BPAC is always given to the delegates after completing the training course,and depends on their attendance of the program at a rate of no less than 80%,besides their active participation and engagement during the program sessions.
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