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Observability
Justin Lee,
Nick Reva,
Katie Gamanji,
and
Jay Smith
Justin Lee,
Nick Reva,
Katie Gamanji,
and
Jay Smith
This course covers the fundamentals of observability in distributed systems. Today, Kubernetes has become the de facto standard for Cloud Native applications and is widely used for distributed systems. To be effective as an observability expert, it is...
Read more
This course covers the fundamentals of observability in distributed systems. Today, Kubernetes has become the de facto standard for Cloud Native applications and is widely used for distributed systems. To be effective as an observability expert, it is...
Read more
This course covers the fundamentals of observability in distributed systems. Today, Kubernetes has become the de facto standard for Cloud Native applications and is widely used for distributed systems. To be effective as an observability expert, it is critical to understand how to monitor and respond to the health and performance of both your Kubernetes clusters and the applications hosted on them. This course will teach students how to collect system performance data using Prometheus, how to collect application tracing data using Jaeger, and how to visualize the results in a dashboard using Grafana.
Register for this course and see more details by visiting:
OpenCourser.com/course/jeo26t/observabilit
What's inside
Syllabus
In this first lesson, we'll go over the big picture. Why is observability relevant? And what is your role is as an observability engineer? What tools will you need to be able to conduct observability?
Read more
Syllabus
In this first lesson, we'll go over the big picture. Why is observability relevant? And what is your role is as an observability engineer? What tools will you need to be able to conduct observability?
Read more
This lesson will get you set up with Prometheus, Jaeger, and Grafana, the main tools you need to start doing observability in your cluster.
In order to observe performance, we first need to get clear on how we are defining and measuring it. We'll do this using Service-Level Objectives and Service-Level Indicators.
Tracing will allow us to get performance data on our applications, particularly on the latency of the key processes within them. In this lesson, we'll learn how to conduct tracing using Jaeger.
We'll look at how we can use Grafana to visualize the data we've been collecting, so that we can see the performance of our system and application at a glance.
In this project, you will create dashboards that use multiple graphs to monitor our sample application that is deployed on a Kubernetes cluster.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Introduces students to fundamentals of observability in Kubernetes, a topic foundational to cloud native applications
Well suited for those who are responsible for monitoring and performance of distributed systems
Taught by experienced instructors with industry recognition, such as Justin Lee and Nick Reva
Empowers students to trace performance data, visualize using Grafana, and set Service-Level Objectives
Facilitates direct application of concepts through project-based learning
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Activities
Coming soon
We're preparing activities for
Observability.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Observability will develop knowledge and skills
that may be useful to these careers:
Software Engineer
Software Engineer
Software engineers design, develop, test, deploy, and maintain software systems. In software engineering, observability is an important practice which allows engineers to monitor and respond to the health and performance of their systems. This course will help you learn the fundamentals of observability in distributed systems. With a deeper understanding of observability, you will be better prepared for a career as a software engineer.
Cloud Engineer
Cloud Engineer
Cloud engineers deploy and manage cloud computing systems. Since cloud computing services are most often deployed across multiple servers in geographically distant locations, it is crucial that cloud engineers have a strong understanding of observability. In this course, you will learn how to collect system performance data, collect application tracing data, and visualize results in a dashboard in order to increase the observability of your systems. This course will help you develop your skills as a cloud engineer.
Site Reliability Engineer
Site Reliability Engineer
Site reliability engineers ensure the reliability of online services. In order to do this, it is imperative that SREs have a deep understanding of observability in distributed systems. This course covers the fundamentals of observability, including how to collect system performance data, collect application tracing data, and visualize results in a dashboard. This course will help you develop the skills you need to be an effective SRE.
DevOps Engineer
DevOps Engineer
DevOps engineers combine software development (Dev) and IT operations (Ops) to improve the speed and quality of software delivery. DevOps engineers need to have a strong understanding of observability in order to monitor and respond to the performance of their systems. This course can help you develop the skills you need as a DevOps engineer.
Systems Administrator
Systems Administrator
Systems administrators keep a company's IT infrastructure up and running. Observability is a very important tool in the life of a systems administrator. This course can help you develop the skills you need to succeed in this role.
Data Engineer
Data Engineer
Data engineers design, build, and maintain data pipelines. A significant aspect of this work is monitoring and responding to the performance of these data pipelines. This course can help you develop the skills you need to succeed in this role.
Data Analyst
Data Analyst
Data analysts analyze data to extract meaningful insights. In order to do this effectively, data analysts need to have a strong understanding of observability in order to monitor and respond to the performance of their data pipelines and analytical systems. This course may be useful for you.
Business Analyst
Business Analyst
Business analysts work with stakeholders to understand their business requirements and translate those requirements into technical specifications. Business analysts with an understanding of observability can identify and resolve issues that may arise in the design and implementation of business systems. This course may be useful for you.
Project Manager
Project Manager
Project managers plan, execute, and close projects. Project managers with an understanding of observability can better manage the risks and challenges associated with software development projects. This course may be useful for you.
Quality Assurance Analyst
Quality Assurance Analyst
Quality assurance analysts test software to ensure that it meets the requirements of the end user. Observability is an important tool in the arsenal of a quality assurance analyst. This course may be useful for you.
Network Engineer
Network Engineer
Network engineers design, build, and maintain computer networks. Observability can be used to monitor and respond to network performance issues. This course may be useful for you.
Solutions Architect
Solutions Architect
Solutions architects design and implement technology solutions. Observability can be used to monitor and respond to the performance of these solutions. This course may be useful for you.
Security Analyst
Security Analyst
Security analysts protect computer systems from unauthorized access, use, disclosure, disruption, modification, or destruction. Observability can be used to monitor and respond to security threats. This course may be useful for you.
Database Administrator
Database Administrator
Database administrators manage and maintain databases. Observability can be used to monitor and respond to database performance issues. This course may be useful for you.
Technical Writer
Technical Writer
Technical writers create documentation for software and other technical products. Observability can be used to monitor and respond to the performance of these products. This course may be useful for you.
For more career information including salaries, visit:
OpenCourser.com/course/jeo26t/observabilit
Reading list
We've selected eight 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
Observability.
Foundational work in the field of site reliability engineering. It provides a comprehensive overview of the principles and practices of SRE, and is essential reading for anyone who wants to learn more about this important field.
Data-driven study of the practices that lead to high-performing software development teams. It valuable resource for anyone who wants to learn how to improve the performance of their software development team.
Comprehensive and up-to-date guide to observability engineering. It covers the entire observability lifecycle, from planning and implementation to operation and maintenance.
Collection of design patterns for microservices. It valuable resource for anyone who wants to learn how to design and build microservices-based applications.
Practical guide to building microservices. It provides step-by-step instructions on how to design, build, and deploy microservices-based applications.
Save
Practical guide to DevOps. It provides step-by-step instructions on how to implement DevOps in your organization.
Save
Novel that tells the story of a DevOps transformation. It great way to learn about the principles and practices of DevOps in a fun and engaging way.
Collection of best practices for running Kubernetes in production. It valuable resource for anyone who wants to learn how to operate Kubernetes clusters effectively.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/jeo26t/observabilit
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Time
40320 hours
Level
Intermediate
Via
Udacity
Instructors
Justin Lee
Nick Reva
Katie Gamanji
Jay Smith
Language
English
Good to know
Introduces students to fundamentals of observability in Kubernetes, a topic foundational to cloud native applications
Well suited for those who are responsible for monitoring and performance of distributed systems
Taught by experienced instructors with industry recognition, such as Justin Lee and Nick Reva
Empowers students to trace performance data, visualize using Grafana, and set Service-Level Objectives
Facilitates direct application of concepts through project-based learning
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