What is connection multiplexer?

What is connection multiplexer?

Connection or session multiplexing occurs at the Transport layer. It allows multiple applications to send and receive data simultaneously. It assigns a unique number to each individual session or connection to keep it separate from others. This unique number is known as port number.

What is a redis connection multiplexer?

Multiplexing allows for a form of implicit pipelining. Pipelining, in the Redis sense, meaning sending commands to the server without regard for the response being received. If you’ve ever been through a drive-through window and rattled off your entire order into the speaker, this is like pipelining.

How many connections can redis handle?

10,000 connections
Redis can handle many connections, and by default, Redis has a maximum number of client connections set at 10,000 connections.

Does TCP provide multiplexing?

TCP doesn’t do multiplexing. The TCP segments just means that the (single) stream data is chopped up into pieces that can be sent in IP packets. Each TCP segment is only identified with a stream offset (sequence number), not with any useful way to identify separate streams.

What is Redis cache in C#?

Redis is a very powerful distributed caching engine and offers very low latency key-value pair caching. If used in the right business context, Redis can significantly boost application performance.

How do I set up Redis cache?

Create a cache

1. To create a cache, sign in to the Azure portal and select Create a resource.
2. On the New page, select Databases and then select Azure Cache for Redis.
3. On the New Redis Cache page, configure the settings for your new cache.
4. Select the Networking tab or select the Networking button at the bottom of the page.

Why Redis is faster?

The reasons for the high performance of redis are as follows: Memory storage: redis uses memory (in memory) storage, without disk IO overhead. Single thread implementation: redis uses a single thread to process requests, avoiding the cost of thread switching and lock resource contention between multiple threads.