Modern Redis Unleashed!

Learn how Redis is more than a distributed cache – it can take the place of many proprietary distributed systems, avoiding cloud provider lock-in!

Also available at Udemy

You can avoid vendor lock-in with your cloud services by using Redis . Redis has become much more than just a distributed cache; its new Redis Modules architecture runs on any cloud provider and enables true multi-cloud and hybrid cloud deployments. Using Redis, you can distribute systems across many cloud providers, making you immune to outages in any one of them. Redis Modules, Redis Cloud, and Redis Enterprise are important new technologies to know about when designing your cloud computing architecture.

This compact course wastes no time! You’ll learn by doing, using Redis Stack with a real e-commerce data set to:

• Stream data in real time using Redis Streams
• Store structured, persistent data into a distributed NoSQL document store with RedisJSON
• Index and query structured data with RediSearch
• Analyze time series data with RedisTimeSeries and Redis Insight
• Generate real-time product recommendations with RedisGraph
• Create a real-time topseller leaderboard with RedisBloom

We will use a free Redis Cloud account and scripts written in Python to illustrate the use of each system. We’ll walk you through setting it all up.

Redis makes it possible to build a complete technology stack that does not rely on a specific cloud computing vendor. Your colleagues probably still think Redis is just a caching technology; you can be the first to tell them about this new alternative for storing and processing data at massive scale. This concise yet complete training will get you up an running with Redis in the cloud, or on your own cluster.

Your instructor is Frank Kane, a former senior manager at Amazon specializing in distributed systems. Frank has taught over 600,000 students around the world.

* Development of this course was sponsored by Redis Ltd.

Course Instructor

Frank Kane Author

Our courses are led by Frank Kane, a former Amazon and IMDb developer with extensive experience in machine learning and data science. With 26 issued patents and 9 years of experience at the forefront of recommendation systems, Frank brings real-world expertise to his teaching. His ability to explain complex concepts in accessible terms has helped over one million students worldwide gain valuable skills in machine learning, data engineering, and AI development.