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Using Cloud Trace on Kubernetes Engine

This is a self-paced lab that takes place in the Google Cloud console. This lab deployings a Kubernetes Engine cluster, then a simple web application fronted by a load balancer is deployed to the cluster. The web app publishes messages provided by the user to a Cloud Pub/Sub topic. You will see the correlated telemetry data from HTTP requests to the app will be available in the Cloud Trace Console.

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What's inside

Syllabus

Using Cloud Trace on Kubernetes Engine

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops Cloud Trace and Kubernetes Engine, which are highly relevant to cloud engineers and software developers

Demonstrates hands-on deployment of a Kubernetes Engine cluster and a simple web application

Introduces the use of Cloud Pub/Sub for message publishing

Provides insights into correlating telemetry data from HTTP requests

May be less valuable for learners with no prior experience in cloud computing or software development

Focuses on a specific use case of Cloud Trace on Kubernetes Engine

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Using Cloud Trace on Kubernetes Engine with these activities:

Join a study group or participate in online discussions

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Peer-to-peer learning can enhance understanding and retention of course material.

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Join a study group or online discussion forum
Discuss course concepts with other students
Ask questions and share insights

Deploy multiple applications to a Kubernetes Engine cluster

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Deploying multiple applications to a Kubernetes cluster will allow for hands-on practice and reinforcement of course concepts.

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Create a Kubernetes Engine cluster
Deploy a simple web application to the cluster
Deploy a database application to the cluster
Test and verify that the applications are running successfully

Explore advanced topics in Cloud Trace

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Exploring advanced topics in Cloud Trace will broaden students' knowledge and understanding of tracing and debugging techniques.

Browse courses on Performance Optimization

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Follow a tutorial on how to use Cloud Trace to troubleshoot performance issues
Learn how to use Cloud Trace to debug production issues
Experiment with different Cloud Trace features

One other activity

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Design and implement a simple distributed application using Kubernetes Engine

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Designing and implementing a non-trivial distributed application will allow for students to synthesize and apply multiple course concepts.

Browse courses on Distributed Systems

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Design the application architecture
Implement the application using Kubernetes primitives
Test and validate the application
Deploy the application to a Kubernetes Engine cluster

Career center

Learners who complete Using Cloud Trace on Kubernetes Engine will develop knowledge and skills that may be useful to these careers:

DevSecOps Engineer

DevSecOps Engineers combine the principles of DevOps and security to build and maintain secure software systems. Kubernetes is a key technology for managing containerized applications in a DevSecOps environment. This course on using Cloud Trace on Kubernetes Engine can help aspiring DevSecOps Engineers gain valuable experience with this technology, preparing them for success in this growing field.

See salaries and explore the career path for DevSecOps Engineer

Cloud Architect

Cloud Architects design and manage cloud computing systems. Kubernetes is a key technology for managing containerized applications in the cloud. This course on using Cloud Trace on Kubernetes Engine can help aspiring Cloud Architects gain valuable experience with this technology, preparing them for success in this growing field.

See salaries and explore the career path for Cloud Architect

DevOps Engineer

DevOps Engineers bridge the gap between development and operations teams. Kubernetes is a key technology for managing software deployments in a DevOps environment. This course on using Cloud Trace on Kubernetes Engine can help aspiring DevOps Engineers gain valuable experience with this technology, preparing them for success in this growing field.

See salaries and explore the career path for DevOps Engineer

Cloud Engineer

Cloud Engineers design, build, and manage cloud computing systems. Kubernetes is a key technology for managing containerized applications in the cloud. This course on using Cloud Trace on Kubernetes Engine can help aspiring Cloud Engineers gain valuable experience with this technology, preparing them for success in this growing field.

See salaries and explore the career path for Cloud Engineer

Infrastructure Engineer

Infrastructure Engineers design, build, and maintain computer infrastructure. Kubernetes is a technology for managing containerized applications that can be used to build and maintain cloud-based infrastructure. This course on using Cloud Trace on Kubernetes Engine can help aspiring Infrastructure Engineers gain valuable experience with this technology, preparing them for success in this field.

See salaries and explore the career path for Infrastructure Engineer

Machine Learning Engineer

Machine Learning Engineers design, develop, and deploy machine learning models. Kubernetes is a technology for managing containerized applications that can be used to deploy machine learning models. This course on using Cloud Trace on Kubernetes Engine can help aspiring Machine Learning Engineers gain valuable experience with this technology, preparing them for success in this growing field.

See salaries and explore the career path for Machine Learning Engineer

Data Engineer

Data Engineers design, build, and maintain data systems. Kubernetes is a technology for managing containerized applications that can be used to build and maintain data systems. This course on using Cloud Trace on Kubernetes Engine can help aspiring Data Engineers gain valuable experience with this technology, preparing them for success in this growing field.

See salaries and explore the career path for Data Engineer

Software Architect

Software Architects design and develop software systems. Kubernetes is a key technology for managing containerized applications. This course on using Cloud Trace on Kubernetes Engine can help aspiring Software Architects gain valuable experience with this technology, preparing them for success in this growing field.

See salaries and explore the career path for Software Architect

Systems Engineer

Systems Engineers design, build, and maintain computer systems. Kubernetes is a technology for managing containerized applications that can be used to build and maintain complex systems. This course on using Cloud Trace on Kubernetes Engine can help aspiring Systems Engineers gain valuable experience with this technology, preparing them for success in this field.

See salaries and explore the career path for Systems Engineer

Site Reliability Engineer

Site Reliability Engineers are responsible for ensuring the reliability and performance of software systems. Kubernetes is a popular platform for deploying and managing containerized applications. This course on using Cloud Trace on Kubernetes Engine can help aspiring Site Reliability Engineers gain valuable experience with this technology, preparing them for success in this critical role.

See salaries and explore the career path for Site Reliability Engineer

Security Engineer

Security Engineers design, implement, and maintain security systems. Kubernetes is a technology for managing containerized applications that can be used to build and maintain secure systems. This course on using Cloud Trace on Kubernetes Engine can help aspiring Security Engineers gain valuable experience with this technology, preparing them for success in this field.

See salaries and explore the career path for Security Engineer

Network Engineer

Network Engineers design, build, and maintain computer networks. Kubernetes is a technology for managing containerized applications that can be used to build and maintain cloud-based networks. This course on using Cloud Trace on Kubernetes Engine can help aspiring Network Engineers gain valuable experience with this technology, preparing them for success in this field.

See salaries and explore the career path for Network Engineer

Data Analyst

Data Analysts collect, analyze, and interpret data to help businesses make better decisions. Kubernetes is a platform for managing containerized applications that can be used to process large amounts of data. This course on using Cloud Trace on Kubernetes Engine can help aspiring Data Analysts gain valuable experience with this technology, preparing them for success in this growing field.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. Kubernetes is a technology for managing containerized applications that can be used to process large amounts of data. This course on using Cloud Trace on Kubernetes Engine can help aspiring Data Scientists gain valuable experience with this technology, preparing them for success in this growing field.

See salaries and explore the career path for Data Scientist

Software Engineer

Software Engineers develop and maintain software systems. With the rise of cloud computing, Kubernetes has become a centerpiece of software deployment. This course on using Cloud Trace on Kubernetes Engine can help prepare aspiring Software Engineers by providing hands-on experience with a real-world technology used to manage software on a large scale. Some companies may require a Master's degree in Computer Science or a similar field for senior-level Software Engineers.

See salaries and explore the career path for Software Engineer

Reading list

We've selected seven 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 Using Cloud Trace on Kubernetes Engine.

Kubernetes Operators

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Provides a comprehensive overview of Kubernetes operators, which are used to manage complex applications on Kubernetes. It also covers how to use tracing to troubleshoot operator-based applications.

Kubernetes Operators: Automating the Container...

Paperback

Kubernetes Operators: Automating the Container...

Kindle Edition

Kubernetes Operators

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It provides in-depth coverage of Kubernetes Operators, which will complement this course's focus on using Cloud Trace on Kubernetes Engine.

Kubernetes Operators: Automating the Container...

Paperback

Kubernetes Operators: Automating the Container...

Kindle Edition

Kubernetes in Action, Second Edition

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It offers a practical guide to Kubernetes, providing additional context for the course's focus on Cloud Trace and Kubernetes Engine.

Kubernetes in Action, Second Edition

Paperback

$$$

Kubernetes Patterns

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Provides a collection of patterns for Kubernetes, enhancing the knowledge gained from this course.

Kubernetes Patterns: Reusable Elements for...

Paperback

Kubernetes Patterns: Reusable Elements for...

Paperback

(Deutsch) Kubernetes Patterns: Wiederverwendbare Muster zum...

Kindle Edition

Elasticsearch: The Definitive Guide

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Provides a comprehensive overview of Elasticsearch, an open-source search engine, including how to use tracing to troubleshoot Elasticsearch clusters.

Elasticsearch: The Definitive Guide: A Distributed...

Paperback

Elasticsearch: The Definitive Guide: A Distributed...

Kindle Edition

Quick Start Kubernetes

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Provides a practical approach to Kubernetes, complementing the course's focus on Cloud Trace and Kubernetes Engine.

Quick Start Kubernetes

Paperback

Quick Start Kubernetes: Large-print

Paperback

Infrastructure as Code for Beginners

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Offers a broader perspective on cloud native programming, complementing this course's focus on Kubernetes Engine-specific tracing.

Infrastructure as Code for Beginners: Deploy and...

Paperback

Infrastructure as Code for Beginners: Deploy and...

Kindle Edition

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Effort

1 hour

Level

Intermediate

Via

Coursera

Institution

Google Cloud

Instructor

Google Cloud Training

Language

English

Good to know

Develops Cloud Trace and Kubernetes Engine, which are highly relevant to cloud engineers and software developers

Demonstrates hands-on deployment of a Kubernetes Engine cluster and a simple web application

Introduces the use of Cloud Pub/Sub for message publishing

Provides insights into correlating telemetry data from HTTP requests

May be less valuable for learners with no prior experience in cloud computing or software development

Focuses on a specific use case of Cloud Trace on Kubernetes Engine

Share and help others discover this course.

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