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Storing and Managing Data with Redis and Apache Kafka on Heroku-18
Saravanan Dhandapani
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.
Read more
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.
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/nnh1as/storing
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
Read more
Syllabus
Course Overview
Apache Kafka on Heroku
Connect, Manage, and Monitor Apache Kafka on Heroku
Share and Troubleshoot Apache Kafka on Heroku
Read more
Provision and Connect Heroku Redis
Manage, Monitor, and Migrate Heroku Redis
Share and Upgrade Heroku Redis
Good to know
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
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Storing and Managing Data with Redis and Apache Kafka on Heroku-18.
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
For more career information including salaries, visit:
OpenCourser.com/course/nnh1as/storing
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.
Save
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.
Save
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.
Provides a collection of recipes and solutions for common C++ programming tasks. While not directly related to the course content, it offers valuable insights into C++ programming practices and can be a useful reference for learners who are interested in developing C++ applications.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/nnh1as/storing
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Time
115 hours
Level
Intermediate
Via
Pluralsight
Instructor
Saravanan Dhandapani
Language
English
Good to know
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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