Redis is an in-memory data store used for caching and locking. To host a Redis component in an Aspire application, add the necessary dependencies to the Aspire host. section 7.4
Redis
Redis is an in-memory data structure store commonly used as a database, cache, and message broker.
How Building Distributed Applications that Work covers it
- How deep it goes
- Describes adding dependencies to an Aspire host, without detailing Redis configuration or behavior.
- Examples
- Uses an Aspire host configured to run a Redis component for caching and locking.
- What you can do after
- Configure an Aspire host to run a Redis component by adding the necessary dependencies.
- How it connects
- Links Redis with caching, locking, and Aspire-hosted applications.
Also explained in
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Amazon Web Services in Action, Third Edition: An in-depth guide to AWSRedis is an in-memory data structure server that provides persistent and non-persistent key-value data storage and access.
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Generative AI in ActionRedis is an open-source in-memory data store that supports key-value storage and multiple data structures for database, caching, and messaging workloads.
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The Quick Python Book, Fourth EditionRedis is an in-memory data-structure server that provides network-accessible key-value storage and related operations.
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Road to KubernetesRedis is an open-source in-memory data structure store that can provide database, cache, and messaging functionality.
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Learn Docker in a Month of Lunches, Second EditionRedis is an open-source in-memory data structure store that can function as a database, cache, and message broker.
Compare how 6 books explain Redis →
Related concepts
- key-value storekind of · A key-value store is a data-storage system that associates keys with values and supports storing, retrieving, or updating values by key.
- Dapr componentused by · A Dapr component is a configurable, pluggable implementation that backs a Dapr API capability with an external service or infrastructure mechanism.
- distributed cachingused by · Distributed caching is a technique for storing reusable data in a cache shared across multiple networked processes, servers, or nodes.
- cachinguses · Caching is the practice of storing reusable data or computation results so later access can avoid repeating retrieval or computation.
This explainer was generated by Manning's knowledge graph from the text of Building Distributed Applications that Work. The section links point to the parts of the book it draws on.