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Using Cloud Trace on Kubernetes Engine
Google Cloud Training
Google Cloud Training
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/aphk3x/using
What's inside
Syllabus
Using Cloud Trace on Kubernetes Engine
Good to know
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
Save this course
Save Using Cloud Trace on Kubernetes Engine to your list so you can find it easily later:
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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
Show steps
Peer-to-peer learning can enhance understanding and retention of course material.
Show steps
-
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
Show steps
Deploying multiple applications to a Kubernetes cluster will allow for hands-on practice and reinforcement of course concepts.
Show steps
-
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
Show steps
Exploring advanced topics in Cloud Trace will broaden students' knowledge and understanding of tracing and debugging techniques.
Browse courses on
Performance Optimization
Show steps
-
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
Expand to see all activities and additional details
Show all four activities
Design and implement a simple distributed application using Kubernetes Engine
Show steps
Designing and implementing a non-trivial distributed application will allow for students to synthesize and apply multiple course concepts.
Browse courses on
Distributed Systems
Show steps
-
Design the application architecture
-
Implement the application using Kubernetes primitives
-
Test and validate the application
-
Deploy the application to a Kubernetes Engine cluster
Join a study group or participate in online discussions
Show steps
Peer-to-peer learning can enhance understanding and retention of course material.
Show steps
Show steps
Show steps
- 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
Show steps
Deploying multiple applications to a Kubernetes cluster will allow for hands-on practice and reinforcement of course concepts.
Show steps
Show steps
Show steps
- 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
Show steps
Exploring advanced topics in Cloud Trace will broaden students' knowledge and understanding of tracing and debugging techniques.
Browse courses on
Performance Optimization
Show steps
Show steps
Show steps
- 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
Expand to see all activities and additional details
Show all four activities
Design and implement a simple distributed application using Kubernetes Engine
Show steps
Designing and implementing a non-trivial distributed application will allow for students to synthesize and apply multiple course concepts.
Browse courses on
Distributed Systems
Show steps
Show steps
Show steps
- 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 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.
Cloud Architect
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.
DevOps Engineer
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.
Cloud 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.
Infrastructure 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.
Machine Learning 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.
Data 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.
Software Architect
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.
Systems Engineer
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.
Site Reliability 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.
Security 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.
Network 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.
Data Analyst
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.
Data Scientist
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.
Software Engineer
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.
For more career information including salaries, visit:
OpenCourser.com/course/aphk3x/using
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.
Save
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.
Save
It provides in-depth coverage of Kubernetes Operators, which will complement this course's focus on using Cloud Trace on Kubernetes Engine.
It offers a practical guide to Kubernetes, providing additional context for the course's focus on Cloud Trace and Kubernetes Engine.
Save
Provides a collection of patterns for Kubernetes, enhancing the knowledge gained from this course.
Provides a comprehensive overview of Elasticsearch, an open-source search engine, including how to use tracing to troubleshoot Elasticsearch clusters.
Provides a practical approach to Kubernetes, complementing the course's focus on Cloud Trace and Kubernetes Engine.
Offers a broader perspective on cloud native programming, complementing this course's focus on Kubernetes Engine-specific tracing.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/aphk3x/using
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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
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