What you'll learn

Deep dive into Redis Database

Installing Redis on online/offline mode

Redis Performance Benchmarking

Redis persistence configuration - Backup and Restore using RDB and AOF

Writing Python Program to Interact with Redis

Writing Different Datasets to Redis

Understanding TTL ( to Live) or Key Expiry in Redis

Creating and using counters

Deep Dive in String, Lists and Hashes type operation

Creating a subset from a bigger set Redis

Setting up Redis Replication (Master + Slave) - Development or Demo Scenario

Perfog a Failover when Master Server is down from non-recoverable issue. Setting up new master on the fly and pointing slave to this new master server.

Redis High Availability in Production with Sentinels on Three Servers (Automatic Failover)

Requirements

This course does not require any prior experience.

However, Some prior experience of working with Linux and Key Value DB can help in understanding course faster.

Description

This course is creating from step zero and then gradually moves onto advance topics. So this is suitable for Bners to Advance Level.

This course contains hands-on production like scenarios for setting up High Availability.

Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes with radius queries and streams. Redis has built-in replication and different levels of on-disk persistence, and provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster.

Who this course is for:

Students with Bigdata or Data Science Technologies

Students with Willingness to learn about Fastest In Memory Database Technologies

Anyone who wants to work on real production like environment setup for Redis and do a deep dive in understanding Redis



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