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!

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

Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology, and teaching others about big data analysis.