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Expert Redis Development

Redis

Redis (Remote Dictionary Server) is an open source, in-memory data structure store known as a data structures server. It can be used as a database, cache, or message broker.

Solutions provided

• Store and retrieve different kinds of data structures like strings, hashes, lists, sets, sorted sets
• Subscribe to channels and publish messages to implement real-time eventing
• Persistence using AOF and snapshotting to disk for durability

Benefits & significance

• Store and retrieve different kinds of data structures like strings, hashes, lists, sets, sorted sets
• Subscribe to channels and publish messages to implement real-time eventing
• Persistence using AOF and snapshotting to disk for durability

What is Redis good for?

Caching, publishing/subscribing, user session storage etc where high speed is required.
How is data structured?

As strings, lists, hashes, sets, sorted sets each optimized for different use cases.
How can it be scaled?

By sharding/partitioning data across multiple Redis instances.
Is Redis open source?

Yes, Redis is released under 3-clause BSD license and use in open or proprietary projects.
How is Redis accessed?

Via client libraries in many languages or telnet-like Redis CLI.

Redis

Solutions provided

• Store and retrieve different kinds of data structures like strings, hashes, lists, sets, sorted sets • Subscribe to channels and publish messages to implement real-time eventing • Persistence using AOF and snapshotting to disk for durability

Benefits & significance

• Store and retrieve different kinds of data structures like strings, hashes, lists, sets, sorted sets • Subscribe to channels and publish messages to implement real-time eventing • Persistence using AOF and snapshotting to disk for durability

What is Redis good for?

How is data structured?

How can it be scaled?

Is Redis open source?

How is Redis accessed?

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• Store and retrieve different kinds of data structures like strings, hashes, lists, sets, sorted sets
• Subscribe to channels and publish messages to implement real-time eventing
• Persistence using AOF and snapshotting to disk for durability

• Store and retrieve different kinds of data structures like strings, hashes, lists, sets, sorted sets
• Subscribe to channels and publish messages to implement real-time eventing
• Persistence using AOF and snapshotting to disk for durability