Redis is an in-memory data structure store that can be used as a database, cache, or message broker. It supports various data types like strings, hashes, lists, and sets. Data can be persisted to disk for durability. Redis guarantees consistency through append-only files and availability through master-slave replication and clustering, where data is automatically distributed across multiple nodes.

2. Agenda
Introduction
Redis Datatype
Master Slave Replica
Architecture
Redis Cluster

3. Introduction
 Redis is an in-memory data structure store.
 Store data in the form of key/value pair.
Consistency is guaranteed by supporting "append-only file" and the
availability of data is guaranteed through cluster and master-slave
replication.
 Can be used as Database, a Caching layer or a Message broker.
Redis can persist data to the disk
Redis is fast Redis is not only a key-value
store

4. Redis Datatypes (String)
Starting Redis is very easy, you just need to install the
desired redis package and write $ redis-server to run
the in memory redis server.
Key-value simple example:
$ SET fb www.facebook.com
$ GET fb
$ www.facebook.com

5. Complex Datatypes
(Hash)
Hashes are like nested Redis Objects that can take any number of
key-value pairs.
$ HMSET user:eric name "Eric Redmond" password s3cret
 Single redis key can be used to retrieve all values of the hash.

6. Complex Datatypes (List)
Lists contain multiple ordered values that can
act as both queues (FIFO) and stacks (FILO).
Can exceute actions such as adding element in
the middle, deleting values, ...

7. Complex Datatypes (Set)
Sets are unordered collections that does
not allow for duplication.
 Accepts set operations such as UNION
and INTERSECTION

8. Data Expiry
One of the best uses of Redis key-value store is fast-access cache for
data that's more expensive to retrieve or compute.
 As we know cache should be expired and get updated periodically.
Using Redis you can mark a key for expiration by using EXPIRE command
and give the key time to live in seconds

9. Durability
 With Redis you can choose between no persistent or save your data.
 No persistent will keep the values in the main-memory.
No persistent is best choice if you run a caching server because durability
will increase the latency.
You can also force storing data to disk by using SAVE command (or
BGSAVE
for asynchronous save)

10. Durability (Cont.)
Redis also provides append-only file that keeps a record of all write
commands.
 That ensures correct value even if the server craches before value saved.
 The Redis server executes the commands on the startup.
 By append-only file we can be sure that the data is eventually consistent.

11. Master-Slave Replication
Redis supports master-slave replication (one server is
master by defualt)
 The replication feature allows Redis to ensure the
availability.
Even if the main server is down, slave servers already
have the replicated data and ready to serve clients.

13. Redis Cluster
 Clustering is the advanced mode of replication
 In this mode the servers are master servers and are
connected to each other.
Clustering makes Redis suitable for distributed systems.
The clustering gives you the ability to automatically split
your dataset among multiple nodes.
 The operation will continue even if some nodes are failed
without having to expire most keys.