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Observability Engineer

For individuals who are passionate about troubleshooting, a career as an Observability Engineer could be a rewarding fit. An Observability Engineer focuses on identifying, monitoring, and diagnosing problems in an organization's systems and applications. 

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For individuals who are passionate about troubleshooting, a career as an Observability Engineer could be a rewarding fit. An Observability Engineer focuses on identifying, monitoring, and diagnosing problems in an organization's systems and applications. 

Skills and Knowledge

An Observability Engineer is responsible for setting up and maintaining systems that monitor the performance of an organization's IT infrastructure. Using tools and software, the Observability Engineer analyzes data, identifies bottlenecks and potential points of failure, and investigates incidents. Based on analysis of the data, the Observability Engineer makes recommendations and implements solutions to improve the reliability and performance of systems and applications. 

Observability Engineers must have a strong understanding of computer science fundamentals, and they must be skilled in writing code and working with large datasets. 

Tools, Software, and Equipment

Observability Engineers use a variety of tools, software, and equipment to perform their jobs. These tools include monitoring and logging tools, graphing and charting tools, and data visualization tools. Observability Engineers may also use specialized tools for troubleshooting and incident management. 

Career Path

There are several paths to a career as an Observability Engineer. Some Observability Engineers have a background in computer science or a related field, while others have a background in IT operations or support. Many Observability Engineers start their careers as Software Engineers or DevOps Engineers and transition to Observability Engineering as they gain experience and expertise. 

Projects

Observability Engineers may work on a variety of projects, including:

  • Designing and implementing monitoring systems
  • Troubleshooting and diagnosing performance issues
  • Developing and implementing solutions to improve system reliability and performance
  • Working with other engineers to improve the overall reliability and performance of an organization's IT infrastructure

Personal Growth

Observability Engineers have the opportunity to continuously learn and grow in their careers. As they gain experience and expertise, they can take on more challenging projects and responsibilities. Observability Engineers can also specialize in a particular area of observability, such as application performance monitoring, infrastructure monitoring, or security monitoring. 

Personality Traits

Observability Engineers are typically:

  • Analytical
  • Detail-oriented
  • Problem-solvers
  • Team players

Self-Guided Projects

There are several self-guided projects that students can complete to better prepare themselves for a career as an Observability Engineer. These projects include:

  • Setting up and maintaining a monitoring system for a personal project
  • Troubleshooting and diagnosing performance issues on a personal computer or device
  • Developing and implementing solutions to improve the performance of a personal project or device

Online Courses

There are many online courses that can help students prepare for a career as an Observability Engineer. These courses cover a variety of topics, including monitoring and logging, graphing and charting, data visualization, and troubleshooting and incident management. By taking online courses, students can gain the skills and knowledge they need to succeed in this field. 

Online courses can be a helpful learning tool for students who want to pursue a career as an Observability Engineer. Through lecture videos, projects, assignments, quizzes, exams, discussions, and interactive labs, online courses can help students learn about the tools, software, and techniques that are used in this field. However, online courses alone are not enough to prepare students for a career as an Observability Engineer. Students who want to pursue this career should also gain practical experience through internships, apprenticeships, or personal projects.

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Salaries for Observability Engineer

City
Median
New York
$138,000
San Francisco
$175,000
Seattle
$147,000
See all salaries
City
Median
New York
$138,000
San Francisco
$175,000
Seattle
$147,000
Austin
$160,000
Toronto
$140,000
London
£96,000
Paris
€61,000
Berlin
€87,000
Tel Aviv
₪722,000
Singapore
S$89,000
Beijing
¥260,000
Shanghai
¥392,000
Shenzhen
¥385,000
Bengalaru
₹1,060,000
Delhi
₹1,334,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Reading list

We haven't picked any books for this reading list yet.
Provides a comprehensive overview of site reliability engineering (SRE), a discipline that combines software engineering and operations to ensure the reliability and performance of online services. It includes a chapter on distributed tracing, providing a practical guide for implementing tracing in SRE systems.
This book, written by a leading expert in microservices, provides practical guidance on how to design and build microservices architectures. It includes a chapter on distributed tracing, providing a practical guide for implementing tracing in microservices applications.
Provides a comprehensive guide to building cloud-native Java applications with Spring Boot, Kubernetes, and cloud services. It includes a chapter on distributed tracing, providing a practical guide for implementing tracing in cloud-native Java applications.
Provides a detailed guide to using OpenTelemetry, a vendor-neutral tool for collecting telemetry data from cloud-native applications. It covers distributed tracing, logging, and metrics, providing a comprehensive overview of how to use OpenTelemetry to monitor cloud-native applications.
Provides a comprehensive guide to improving the performance of Java applications. It includes a chapter on distributed tracing, providing a practical guide for implementing tracing in Java applications.
Provides a comprehensive overview of Java EE 7, a platform for building enterprise applications. It includes a chapter on distributed tracing, providing a guide for implementing tracing in Java EE applications.
Provides a comprehensive guide to building Spring Boot applications. It includes a chapter on distributed tracing, providing a practical guide for implementing tracing in Spring Boot applications.
Provides a practical guide to building and deploying machine learning models in production. It includes a chapter on distributed tracing, providing a practical guide for implementing tracing in machine learning systems.
A beginner-friendly guide to using OpenTelemetry. Covers concepts like instrumentation, data collection, and analysis in a simple and easy-to-understand way.
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