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Spring Boot Observability: Deep Dive into Logging, Metrics, and Tracing

Spring Boot Observability: Deep Dive into Logging, Metrics, and Tracing

40mAdvanced2022-06-09

Authors

Terezija Semenski

Terezija Semenski

Software Developer, Mathematician, Writer, and Learner

Course details

Once up and running Spring apps, you want to go beyond basic monitoring and get operational insight into the behavior of your system. This course with Terezija Semenski gets you up to speed on how to achieve observability with Spring applications. Terezija covers three main pillars of observability: Logging, metrics, and tracing, and how they correlate across different systems. She provides hands-on examples for using the Spring Cloud Sleuth for tracing instrumentation and log correlation; employing the Micrometer, which offers integration with plenty of observability platforms; and finally, integration with Wavefront observability platform. Observability helps developers discover and fix problems faster, providing deeper visibility that allows them to investigate root causes more accurately and efficiently, so join Terezija to get started building observability into your system.

Skills covered

SpringWeb Development ToolsAdvancedWeb DevelopmentOpen Source

Concepts

0. Introduction

  • 01 - Observability with Spring Boot
  • 02 - What you need to know

1. Understand Why Observability Is Important

  • 03 - What is observability
  • 04 - Why care about observability
  • 05 - Logging, metrics, and tracing

2. Logging

  • 06 - Problem with basic logging
  • 07 - Why centralized logging
  • 08 - Logging and Spring

3. Metrics

  • 09 - Usage of metrics
  • 10 - Metrics for observability
  • 11 - Metrics in Spring

4. Tracing

  • 12 - Distributed tracing
  • 13 - Tracing in Spring

Conclusion

  • 14 - How to correlate logging, metrics, and tracing
  • 15 - Next steps

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