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Site Reliability Engineer (SRE)

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March 29, 2024 Updated May 12, 2025 17 minute read

Site Reliability Engineering, or SRE, is a discipline that applies software engineering principles to infrastructure and operations problems. The main goals are to create scalable and highly reliable software systems. Think of it as a specialized field where engineers work to ensure that online services and applications run smoothly and are always available to users. This means they spend a lot of time automating tasks, monitoring system health, and planning for future growth and potential issues.

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Salaries for Site Reliability Engineer (SRE)

City
Median
New York
$180,000
San Francisco
$219,000
Seattle
$197,000
See all salaries
City
Median
New York
$180,000
San Francisco
$219,000
Seattle
$197,000
Austin
$158,000
Toronto
$125,000
London
£87,000
Paris
€61,000
Berlin
€108,000
Tel Aviv
₪467,000
Singapore
S$124,000
Beijing
¥538,000
Shanghai
¥894,000
Shenzhen
¥950,000
Bengalaru
₹629,000
Delhi
₹1,057,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Site Reliability Engineer (SRE)

Take the first step.
We've curated 24 courses to help you on your path to Site Reliability Engineer (SRE). Use these to develop your skills, build background knowledge, and put what you learn to practice.
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Reading list

We've selected some books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Site Reliability Engineer (SRE).
Comprehensive guide to Kubernetes, written by two of the project's creators. It covers everything from the basics of container orchestration to advanced topics like security and troubleshooting.
Provides a hands-on guide to Kubernetes, covering all aspects of container orchestration. It is suitable for beginners and experienced users alike, and includes a foreword by Kelsey Hightower, a leading expert in the field.
Provides a hands-on guide to Kubernetes, covering all aspects of container orchestration. It is suitable for beginners and experienced users alike, and includes a foreword by Kelsey Hightower, a leading expert in the field.
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 comprehensive guide to observability engineering, a set of practices and tools that enable engineers to monitor, troubleshoot, and debug complex systems. It includes a chapter on alerting, providing guidance on how to design and implement effective alerting systems.
Provides a collection of best practices for using Kubernetes in production. It covers everything from cluster design and management to security and performance.
Provides a comprehensive overview of load balancing with Citrix ADC. It covers a wide range of topics, including load balancing algorithms, protocols, and architectures. The author leading vendor in the field of load balancing.
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 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 collection of patterns and best practices for using Kubernetes in production. It is written by two experienced Kubernetes users, and it is full of practical advice.
Deep dive into Kubernetes operators. It covers everything from the basics of operator development to advanced topics like custom resource definitions and controllers.
Provides a comprehensive overview of cloud native DevOps with Kubernetes. It covers everything from the basics of containerization to advanced topics like continuous delivery and monitoring.
Provides a practical guide to implementing service level objectives (SLOs), which are used to define and measure the performance of software systems. It includes a chapter on alerting and monitoring, providing guidance on how to set up SLOs and create alerts that measure progress towards meeting them.
Focuses on using AWS CodeDeploy and Jenkins for continuous deployment. It covers topics such as setting up a Jenkins pipeline, integrating CodeDeploy with Jenkins, and monitoring the deployment process.
Provides a practical guide to using Prometheus, a popular open-source monitoring and alerting system. It covers topics such as installing and configuring Prometheus, writing PromQL queries, and creating alerts.
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 using AWS CodeDeploy. It covers topics such as setting up a CodeDeploy pipeline, deploying applications to different environments, and troubleshooting deployment issues.
Focuses on using AWS CodeDeploy for deploying serverless applications. It covers topics such as setting up a serverless deployment pipeline, deploying serverless applications to different environments, and troubleshooting deployment issues.
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