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Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console. This hands-on lab provides step-by-step instructions for developers to apply the basic principles of streaming applications using the Confluent Platform.

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What's inside

Syllabus

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what should give you pause
and possible dealbreakers
Covers the basics of streaming microservices, which are standard in the cloud development industry
Google Cloud and Confluent are recognized providers of cloud and streaming services
Hands-on labs provide practical experience

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Reviews summary

Hands-on streaming microservices with confluent

Learners say this course provides an excellent hands-on experience for developing streaming microservices applications using the Confluent Platform on Google Cloud. Students consistently praise the practical exercises and step-by-step instructions, which are highlighted as invaluable for applying concepts. While generally well-received, some older reviews noted lab environment stability issues and perceived outdated content. However, more recent feedback suggests these issues have been largely resolved, indicating potential course improvements. The course is best suited for developers with some prior Kafka understanding, as it dives directly into practical application rather than deep theoretical explanations.
Primarily practical, with less emphasis on deep theoretical explanations.
"I only wish there was a bit more theoretical background on why certain design choices were made..."
"Decent course, but some of the explanations for advanced topics were a bit thin. I had to look up external resources."
"It dives directly into practical application rather than deep theoretical explanations."
Mixed reviews on environment setup, with recent improvements noted.
"The lab environment was perfectly set up in GCP, and the step-by-step instructions made it easy to follow along..."
"The content is good in theory, but the lab setup was quite frustrating at times. I spent too much time debugging the environment."
"Found this course very difficult. The lab environment frequently crashed or didn't provision correctly."
"The GCP environment was well-managed and `instructions` very precise."
Older issues regarding outdated content appear to be largely addressed.
"Outdated content. Many commands and UI elements in GCP have changed since this course was published. I struggled to follow along."
"The lab environment was perfectly set up in GCP, and the step-by-step instructions made it easy to follow along, even for complex Kafka concepts."
"The GCP environment was well-managed and instructions very precise, leading to a smooth learning experience."
Offers significant practical application and direct implementation experience.
"Excellent hands-on course! The lab environment was perfectly set up... invaluable for anyone looking to get started with Confluent Platform."
"Solid introduction to streaming microservices with Confluent. The practical exercises were the highlight."
"The hands-on activities were invaluable for learning and implementing streaming services."
"The hands-on nature of the course means you actually build something meaningful."
Best suited for those with some foundational Kafka or GCP understanding.
"I had some prior Kafka knowledge, which helped. For absolute beginners, some parts might be a bit overwhelming as it jumps straight into coding."
"It assumes too much prior knowledge of both GCP and Confluent."
"It's best if you have a foundational understanding of Kafka already, as it doesn't spend much time on the absolute basics."

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 Confluent: Developing a Streaming Microservices Application with these activities:
Review basic principles of data streaming
Refreshes foundational knowledge, ensuring a strong starting point before delving into the course.
Show steps
  • Review online resources or articles
  • Attend a workshop or webinar
  • Complete practice exercises or quizzes
Organize and review course materials
Organize and review course materials to prepare for the course and reinforce learning.
Show steps
  • Organize course notes, assignments, and materials
  • Review the materials regularly
Review basic programming concepts
Review basic programming concepts to ensure a strong foundation before starting the course.
Browse courses on Programming
Show steps
  • Review online tutorials or books on basic programming concepts
  • Practice writing simple programs
11 other activities
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Walkthrough of the Confluent Platform syntax
Provides hands-on practice to quickly become comfortable with essential Confluent Platform syntax.
Browse courses on Confluent Platform
Show steps
  • Review the Confluent Platform documentation
  • Set up your development environment
  • Complete the step-by-step tutorial
Follow online tutorials on streaming applications
Follow online tutorials on streaming applications to supplement the materials covered in the course.
Show steps
  • Find online tutorials on streaming applications
  • Follow the tutorials and complete the exercises
Organize a study group with classmates
Organize a study group with classmates to discuss the course material and work on assignments together.
Show steps
  • Find classmates who are interested in forming a study group
  • Set up a regular meeting time and place
  • Discuss the course material and work on assignments together
Join a study group to discuss Confluent Platform concepts
Provides opportunities to engage with peers, exchange ideas, and deepen understanding through collaborative learning.
Browse courses on Confluent Platform
Show steps
  • Find a study group or create your own
  • Set regular meeting times
  • Prepare discussion topics and questions
  • Facilitate group discussions
  • Summarize key takeaways after each session
Practice writing streaming applications
Practice writing streaming applications to reinforce the principles learned in the course.
Show steps
  • Set up a development environment with Apache Kafka
  • Write a simple streaming application using the Confluent Platform
  • Test and debug your application
Attend meetups and conferences on streaming applications
Attend meetups and conferences on streaming applications to learn from experts and network with other professionals.
Show steps
  • Find meetups and conferences on streaming applications
  • Attend the events and participate in discussions
Create a simple streaming data pipeline
Involves implementing a simple pipeline to reinforce understanding of core concepts and best practices for building streaming data pipelines.
Browse courses on Confluent Platform
Show steps
  • Design the pipeline architecture
  • Develop the pipeline code
  • Deploy the pipeline
  • Monitor and evaluate the pipeline
Write a blog post about your experience with the Confluent Platform
Encourages reflection and articulation of understanding by sharing your experience and knowledge with others.
Show steps
  • Identify the key points you want to share
  • Write a draft of your blog post
  • Edit and refine your post
  • Publish your post on your blog or a relevant platform
Develop a streaming application for a real-world scenario
Develop a streaming application for a real-world scenario to apply the principles learned in the course.
Show steps
  • Identify a real-world problem that can be solved using a streaming application
  • Design and implement a streaming application to solve the problem
  • Deploy and test the application
Contribute to open source projects related to streaming applications
Contribute to open source projects related to streaming applications to gain practical experience and deepen understanding.
Show steps
  • Find open source projects related to streaming applications
  • Read the documentation and contribute to the project
Participate in a hackathon focused on streaming data solutions
Provides a hands-on, competitive environment to apply and showcase skills in a practical setting.
Show steps
  • Identify a hackathon that aligns with your interests
  • Form a team or work individually
  • Develop a solution within the given timeframe
  • Present your solution to judges or attendees

Career center

Learners who complete Confluent: Developing a Streaming Microservices Application will develop knowledge and skills that may be useful to these careers:
Software Architect
Software Architects will need to be able to design and develop streaming applications in order to keep up with the growing demand for real-time data. This course, Confluent: Developing a Streaming Microservices Application, will teach you the basics of streaming applications, which will be essential for Software Architects in the future.
Software Developer
Software Developers will need to be able to develop and maintain streaming applications in order to keep up with the growing demand for real-time data. This course, Confluent: Developing a Streaming Microservices Application, will teach you the basics of streaming applications, which will be essential for Software Developers in the future.
System Administrator
System Administrators will need to be able to deploy and manage streaming applications in order to keep up with the growing demand for real-time data. This course, Confluent: Developing a Streaming Microservices Application, will teach you the basics of streaming applications, which will be essential for System Administrators in the future.
DevOps Engineer
DevOps Engineers will need to be able to deploy and manage streaming applications in order to keep up with the growing demand for real-time data. This course, Confluent: Developing a Streaming Microservices Application, will teach you the basics of streaming applications, which will be essential for DevOps Engineers in the future.
Data Engineer
Data Engineers will need to be able to develop and manage streaming applications in order to keep up with the growing demand for real-time data. This course, Confluent: Developing a Streaming Microservices Application, will teach you the basics of streaming applications, which will be essential for Data Engineers in the future.
Web Developer
Web Developers will need to be able to develop and maintain streaming applications in order to keep up with the growing demand for real-time data. This course, Confluent: Developing a Streaming Microservices Application, will teach you the basics of streaming applications, which will be essential for Web Developers in the future.
Data Analyst
As streaming applications grow in popularity, Data Analysts will need to combine streaming data with more traditional data to gain insights. This course, Confluent: Developing a Streaming Microservices Application, will help you build a foundation in streaming data, which will be essential for Data Analysts in the future.
Data Scientist
Data Scientists will need to be able to analyze streaming data in order to make accurate predictions and recommendations. This course, Confluent: Developing a Streaming Microservices Application, will teach you the basics of streaming data, which will be essential for Data Scientists in the future.
Machine Learning Engineer
Machine Learning Engineers will need to be able to train and deploy machine learning models on streaming data in order to keep up with the growing demand for real-time predictions. This course, Confluent: Developing a Streaming Microservices Application, will teach you the basics of streaming data, which will be essential for Machine Learning Engineers in the future.
Technical Program Manager
Technical Program Managers will need to be able to understand the benefits and challenges of streaming applications in order to make informed decisions about project development. This course, Confluent: Developing a Streaming Microservices Application, will teach you the basics of streaming applications, which will be essential for Technical Program Managers in the future.
Product Manager
Product Managers will need to be able to understand the benefits and challenges of streaming applications in order to make informed decisions about product development. This course, Confluent: Developing a Streaming Microservices Application, will teach you the basics of streaming applications, which will be essential for Product Managers in the future.

Reading list

We've selected nine 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 Confluent: Developing a Streaming Microservices Application.
Considered the definitive reference on Apache Kafka, this book offers a deep dive into the architecture, internals, and advanced features of the platform. It's a valuable resource for gaining a thorough understanding of Kafka.
Provides a comprehensive overview of the principles and patterns for designing and implementing data-intensive applications. It offers valuable insights into data storage, processing, and distribution, which are relevant to the topics covered in this course.
While not directly related to Apache Kafka, this book provides a comprehensive overview of Apache Cassandra, a NoSQL database often used in conjunction with Kafka for data storage and persistence. Understanding Cassandra's capabilities and integration with Kafka can enhance your overall knowledge of streaming systems.
Provides an in-depth look into the internals of Apache Kafka. It covers topics such as Kafka's storage engine, replication, and security, making it a valuable resource for anyone interested in understanding how Kafka works under the hood.
Provides a comprehensive overview of data streams. It covers topics such as stream processing, stream storage, and stream analytics, making it a valuable resource for anyone working with streaming technologies.
Provides a practical guide to using Apache Kafka Streams to build streaming data applications. It covers topics such as data ingestion, transformation, and analysis.
Provides a comprehensive overview of stream processing. It covers topics such as stream processing, microservices, and scalability, making it a valuable resource for anyone working with stream processing in Confluent.
Provides a comprehensive overview of real-time big data analytics. It covers topics such as stream processing, data analytics, and machine learning, making it a valuable resource for anyone working with stream processing in Confluent.
Provides a comprehensive overview of data-intensive text processing. It covers topics such as text processing, data mining, and machine learning, making it a valuable resource for anyone working with stream processing in Confluent.

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