Storing and Managing Data with Redis and Apache Kafka on Heroku-18 from Pluralsight

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.

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

Provision and Connect Heroku Redis

Manage, Monitor, and Migrate Heroku Redis

Share and Upgrade Heroku Redis

Good to know

Know what's good

, what to watch for

, 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

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'

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Gain a comprehensive understanding of Apache Kafka's architecture, features, and use cases.

View Kafka: The Definitive Guide: Real-Time Data and... on Amazon

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Read chapters 1-4 to understand Kafka's basics
Read chapters 5-7 to learn about Kafka's advanced features

Explore Redis in-depth

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Expand your knowledge of Redis and its features through guided tutorials.

Browse courses on Redis

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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

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Reinforce your understanding of Apache Kafka's message processing capabilities through hands-on practice.

Browse courses on Apache Kafka

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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

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Show all four activities

Build a simple application using Apache Kafka and Redis

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Apply your knowledge by building a functioning application that utilizes both Apache Kafka and Redis.

Browse courses on Apache Kafka

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

See salaries and explore the career path for Software Engineer

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.

See salaries and explore the career path for IT Manager

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.

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