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/ Neteye Training / WPN4-O11Y_NetEye Observability

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WPN4-O11Y_NetEye Observability

Duration & Format

3 days (12 hours)

Theory, guided practical exercises, and hands-on troubleshooting use cases


Target audience

Developers, application stakeholders, system administrators, and anyone involved in application monitoring and analysis


Focus

Elastic Observability in NetEye, including logs, metrics, traces, APM, infrastructure monitoring, synthetic monitoring, and Service Level Objectives


Prerequisites

Prerequisites: Basic knowledge of the Elastic Stack and Kibana. Participants should be able to interpret JSON documents, indices, mappings, and data streams; use basic filters and searches in Kibana; and have a general understanding of log collection and analysis.

In addition, participants are expected to have a basic understanding of:

  • networking;

  • Linux and Windows systems;

  • processes and threads;

  • CPU and memory usage;

  • the general architecture and operation of a web application, including the frontend, backend, and database.

Experience with Docker and running containers is beneficial.

Advanced knowledge of OpenTelemetry, APM, SLOs, Machine Learning, or Synthetic Monitoring is not required. These topics will be introduced and applied during the course.

  • Experience with application deployment or administration;

  • the ability to read code in at least one of the following programming languages: Python, Java, Node.js, or Go;

  • knowledge of APIs, database queries, and background jobs;

  • familiarity with the three core observability signals: logs, metrics, and traces;

  • a basic understanding of CI/CD concepts and processes.


Course contents

Course module overview!

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    Thank you for your inquiry and your interest in our trainings. We would like to point out that the data is not disclosed to third parties and is processed by adopting the security measures prescribed by current legislation in order to guarantee confidentiality and the limits set by the directives of the GDPR.