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Saravanan Dhandapani

As distributed web applications become more common, it’s very important to pay attention to caching, messaging, and event storing for scalability and reliability. This course will teach you how to leverage Redis and Apache Kafka in Heroku platform.

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As distributed web applications become more common, it’s very important to pay attention to caching, messaging, and event storing for scalability and reliability. This course will teach you how to leverage Redis and Apache Kafka in Heroku platform.

As web applications gain global visibility, companies need to focus more on maintaining quick response, reduce downtime and predictable results. In this course, Storing and Managing Data with Redis and Apache Kafka on Heroku, you’ll learn how to leverage Apache Kafka and Redis as a messaging and caching solution on Heroku platform. First, you’ll explore the basics of Apache Kafka and understand its architecture. Next, you’ll discover how Kafka can be provisioned as a service on Heroku, and deploy and monitor a messaging application. Finally, you’ll learn the basics of Redis and its architecture and finally you will explore how Redis can be provisioned as an add-on on Heroku platform and deploy an application. When you’re finished with this course, you’ll have the skills and knowledge of leveraging Heroku platform in deploying applications using Apache Kafka and Redis needed to design and architect a distributed web application that is scalable, reliable, and highly available.

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Redis Apache Kafka Heroku Caching Messaging Event Storing Scalability

What's inside

Syllabus

Course Overview
Apache Kafka on Heroku
Connect, Manage, and Monitor Apache Kafka on Heroku
Share and Troubleshoot Apache Kafka on Heroku
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Covers the integration of Apache Kafka and Redis, which are industry-standard tools for distributed web applications
Taught by Saravanan Dhandapani, who is recognized for their expertise in this field
Explores the fundamentals of both Apache Kafka and Redis, which are considered foundational technologies in their space
Includes hands-on labs for practical application of the concepts covered
Provides a solid base for further exploration of distributed web application development

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Reviews summary

Redis and kafka on heroku overview

According to students, this course offers a solid introduction and good overview for leveraging Redis and Apache Kafka on the Heroku platform. Many found the hands-on labs and practical examples to be exceptionally helpful, making the setup and integration process clearer. The Heroku-specific content is particularly valued for its immediate applicability. However, some learners noted the course is more of a basic guide and lacks deeper dives into advanced configurations or theoretical underpinnings. A few reviews also suggest some content might be outdated, impacting practical application. Overall, it's considered a valuable starting point, especially for developers new to these technologies on Heroku.
Practical examples and labs directly applicable to work.
"Absolutely fantastic! The hands-on labs were excellent and the instructor explained complex concepts clearly."
"The practical examples were spot on, and it really helped demystify the setup process. Highly recommend for practical application."
"The demos were helpful... Overall, a useful course for getting started with these tools on the platform."
Clear, practical intro to Heroku, Redis, and Kafka.
"This course provided a good overview of Redis and Kafka on Heroku. It's a great starting point for beginners to these technologies on Heroku."
"Solid introduction. The Heroku-specific integration was well-covered, which is exactly what I needed."
"Good course for understanding the basics and setting up Kafka/Redis on Heroku."
"I found it invaluable for integrating Kafka and Redis into my Heroku apps."
Information might be outdated, impacting practical use.
"Found some information outdated, especially regarding Kafka versions or Heroku's latest features. It felt like it hadn't been updated recently."
"Would need significant updates to remain fully relevant for current Heroku environments."
More of an intro, not enough for deep dive or advanced topics.
"I wish there was more depth on advanced configurations and troubleshooting common issues."
"The course content is somewhat basic and felt a bit rushed... not enough for a deep dive."
"It's more of a 'how-to' guide rather than a 'why' explanation. More background theory would be beneficial for some."

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 Storing and Managing Data with Redis and Apache Kafka on Heroku-18 with these activities:
Read 'Kafka: The Definitive Guide'
Gain a comprehensive understanding of Apache Kafka's architecture, features, and use cases.
Show steps
  • Read chapters 1-4 to understand Kafka's basics
  • Read chapters 5-7 to learn about Kafka's advanced features
Explore Redis in-depth
Expand your knowledge of Redis and its features through guided tutorials.
Browse courses on Redis
Show steps
  • Discover Redis data structures and commands
  • Learn about Redis replication and high availability
  • Explore advanced Redis features like pipelines and transactions
Practice Apache Kafka message processing
Reinforce your understanding of Apache Kafka's message processing capabilities through hands-on practice.
Browse courses on Apache Kafka
Show steps
  • Set up a Kafka cluster on Heroku
  • Create a producer to publish messages
  • Create a consumer to subscribe and process messages
  • Experiment with different message properties and configurations
One other activity
Expand to see all activities and additional details
Show all four activities
Build a simple application using Apache Kafka and Redis
Apply your knowledge by building a functioning application that utilizes both Apache Kafka and Redis.
Browse courses on Apache Kafka
Show steps
  • Design the application architecture
  • Implement the Kafka producer and consumer
  • Implement the Redis caching mechanism
  • Test and deploy the application

Career center

Learners who complete Storing and Managing Data with Redis and Apache Kafka on Heroku-18 will develop knowledge and skills that may be useful to these careers:
Cloud Architect
Storing and Managing Data with Redis and Apache Kafka on Heroku-18 is designed to help students learn how to use Redis and Apache Kafka to improve the scalability, reliability, and availability of distributed web applications. Cloud Architects work to design, build, and manage cloud-based systems and applications. By taking this course, students will gain the skills and knowledge needed to implement caching, messaging, and event storing solutions in the cloud. This course will be particularly relevant to Cloud Architects who are working with Heroku, as it will help them learn how to use Redis and Apache Kafka on this platform.
Data Engineer
Storing and Managing Data with Redis and Apache Kafka on Heroku-18 provides a comprehensive overview of the basics of Apache Kafka and Redis, as well as how to provision and manage these services on Heroku. Data Engineers work with large datasets and use Apache Kafka and Redis to improve the performance and scalability of data pipelines. This course will help Data Engineers build a strong foundation in these technologies, which will be essential for success in this role.
DevOps Engineer
The Storing and Managing Data with Redis and Apache Kafka on Heroku-18 course covers the basics of Apache Kafka and Redis, as well as how to provision and manage these services on Heroku. DevOps Engineers work to bridge the gap between development and operations teams, and they need to have a strong understanding of the technologies used in both environments. This course will help DevOps Engineers build a strong foundation in Apache Kafka and Redis, which will be essential for success in this role.
Software Architect
Storing and Managing Data with Redis and Apache Kafka on Heroku-18 is designed to help students learn how to use Redis and Apache Kafka to improve the scalability, reliability, and availability of distributed web applications. Software Architects work to design and build software systems, and they need to have a strong understanding of the technologies used in these systems. This course will help Software Architects build a strong foundation in Apache Kafka and Redis, which will be essential for success in this role.
Systems Administrator
The Storing and Managing Data with Redis and Apache Kafka on Heroku-18 course covers the basics of Apache Kafka and Redis, as well as how to provision and manage these services on Heroku. Systems Administrators are responsible for the day-to-day operation and maintenance of computer systems, and they need to have a strong understanding of the technologies used in these systems. This course will help Systems Administrators build a strong foundation in Apache Kafka and Redis, which will be essential for success in this role.
Database Administrator
Storing and Managing Data with Redis and Apache Kafka on Heroku-18 is designed to help students learn how to use Redis and Apache Kafka to improve the scalability, reliability, and availability of distributed web applications. Database Administrators are responsible for the management and maintenance of databases, and they need to have a strong understanding of the technologies used in these systems. This course will help Database Administrators build a strong foundation in Apache Kafka and Redis, which will be essential for success in this role.
Web Developer
Storing and Managing Data with Redis and Apache Kafka on Heroku-18 is designed to help students learn how to use Redis and Apache Kafka to improve the scalability, reliability, and availability of distributed web applications. Web Developers work to design and build websites and web applications, and they need to have a strong understanding of the technologies used in these systems. This course will help Web Developers build a strong foundation in Apache Kafka and Redis, which will be essential for success in this role.
Data Scientist
The Storing and Managing Data with Redis and Apache Kafka on Heroku-18 course covers the basics of Apache Kafka and Redis, as well as how to provision and manage these services on Heroku. Data Scientists work with large datasets and use Apache Kafka and Redis to improve the performance and scalability of data pipelines. This course will help Data Scientists build a strong foundation in these technologies, which will be essential for success in this role.
Machine Learning Engineer
Storing and Managing Data with Redis and Apache Kafka on Heroku-18 is designed to help students learn how to use Redis and Apache Kafka to improve the scalability, reliability, and availability of distributed web applications. Machine Learning Engineers work with large datasets and use Apache Kafka and Redis to improve the performance and scalability of machine learning pipelines. This course will help Machine Learning Engineers build a strong foundation in these technologies, which will be essential for success in this role.
Product Manager
Storing and Managing Data with Redis and Apache Kafka on Heroku-18 is designed to help students learn how to use Redis and Apache Kafka to improve the scalability, reliability, and availability of distributed web applications. Product Managers work to define and manage the development of products, and they need to have a strong understanding of the technologies used in these products. This course will help Product Managers build a strong foundation in Apache Kafka and Redis, which will be essential for success in this role.
Project Manager
The Storing and Managing Data with Redis and Apache Kafka on Heroku-18 course covers the basics of Apache Kafka and Redis, as well as how to provision and manage these services on Heroku. Project Managers work to plan, execute, and deliver projects, and they need to have a strong understanding of the technologies used in these projects. This course will help Project Managers build a strong foundation in Apache Kafka and Redis, which will be essential for success in this role.
Business Analyst
Storing and Managing Data with Redis and Apache Kafka on Heroku-18 is designed to help students learn how to use Redis and Apache Kafka to improve the scalability, reliability, and availability of distributed web applications. Business Analysts work to analyze and improve business processes, and they need to have a strong understanding of the technologies used in these processes. This course will help Business Analysts build a strong foundation in Apache Kafka and Redis, which will be essential for success in this role.
Software Engineer
Storing and Managing Data with Redis and Apache Kafka on Heroku-18 is designed to help students learn how to use Redis and Apache Kafka to improve the scalability, reliability, and availability of distributed web applications. Software Engineers work to design, develop, and maintain software systems, and they need to have a strong understanding of the technologies used in these systems. This course will help Software Engineers build a strong foundation in Apache Kafka and Redis, which will be essential for success in this role.
IT Manager
The Storing and Managing Data with Redis and Apache Kafka on Heroku-18 course covers the basics of Apache Kafka and Redis, as well as how to provision and manage these services on Heroku. IT Managers work to plan, implement, and manage IT systems, and they need to have a strong understanding of the technologies used in these systems. This course will help IT Managers build a strong foundation in Apache Kafka and Redis, which will be essential for success in this role.
Network Administrator
Storing and Managing Data with Redis and Apache Kafka on Heroku-18 is designed to help students learn how to use Redis and Apache Kafka to improve the scalability, reliability, and availability of distributed web applications. Network Administrators work to plan, implement, and manage computer networks, and they need to have a strong understanding of the technologies used in these networks. This course will help Network Administrators build a strong foundation in Apache Kafka and Redis, which will be essential for success in this role.

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 Storing and Managing Data with Redis and Apache Kafka on Heroku-18.
Is considered the definitive guide to Apache Kafka, providing a comprehensive overview of its architecture, components, and operation. It explores advanced topics such as stream processing, data pipelines, and security, making it a valuable resource for anyone working with Kafka.
This classic book provides a comprehensive overview of messaging patterns, offering practical guidance on designing and implementing robust and scalable messaging systems. It covers a wide range of patterns, from simple point-to-point communication to complex distributed architectures.
Provides a comprehensive overview of data architectures and best practices for designing and implementing data-intensive applications, including topics such as data modeling, storage, and query optimization. It offers a broader perspective on data management and complements the course content on storing and managing data with Kafka and Redis.
Provides a foundational understanding of data structures and algorithms, which are essential for working with data efficiently. It complements the course content by offering a deeper dive into these concepts and their applications in data management and processing.
Provides a comprehensive guide to Elasticsearch, a popular search and analytics engine. While not directly related to Kafka and Redis, it offers insights into data processing and retrieval, complementing the course content on data management and querying.
Focuses on the data structures available in Redis, providing a deep dive into their implementation and use cases. It complements the course content on Redis by offering a more specialized perspective on data structures and their applications.

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