Redis is an advanced key-value store that runs as a standalone application / service on Linux or Windows. It has the ability to run completely from memory and keep the data in another permanent storage location. Clients such as Web applications connect via HTTP / HTTPS and use it as a caching solution or general data store. Because Redis is an independent stand-alone service, it does not depend on the availability of web applications for lifecycle management.
More Than A Cache
The “advanced” part of the description shows that Redis can contain values as complex types. Redis has the ability to hold values of several types of data. These data types enable advanced caching scenarios while maintaining interaction with these data very quickly. The most commonly used types of data are:
Strings (binary safe – they are stored consistently, whether they are encoded on a Windows or Linux machine) Hash (a set of name / value pairs – think of it as a cache in Redis, but in a single key / value entry Redis) List (implemented as a linked list – ideal for adding and removing from the beginning or end of the list, but not optimal for direct access by an index that allows random access) Sets (unordered collections of strings that can apply operations between different sets of Redis, such as unions, intersections, differences Sorted set (similar to sets but with the addition of a “score” property that allows you to order the collection) It does not have to be one type of data, but what suits “advanced” monikers is the fact that Redis also has an integrated Pub / Sub mechanism.
Functions Beyond Network & Device Boundaries
Redis is a stand-alone service that can be exploited across multiple network boundaries and different device topologies. This is ideal for web applications that need to be scaled (that is, multiple web servers behind a load balancer). It is also useful when used in deployed applications as a collection of microservices. All individual microservices can share the same cached data, enabling a more consistent and real-time data sharing experience. Redis also incorporates a Pub / Sub mechanism, so individual microservices can use Redis to perform high-speed service-to-service communication.
Persistence of Data
Redis runs entirely in memory, but has the ability to keep its data on disk or any other persistent data storage location. This makes the data available after an event such as a server crash or restart. You can also recover this data and restore it to another Redis instance.
Running Under Development
Redis can be installed locally on Windows, Mac or Linux. This allows developers to develop using local instances, which limits the need for a centralized Redis server for developers.
monitor-cacheRedis is available as an Azure platform service with several different usage hierarchy options. You can also configure your own Redis instance in Azure VM. An advantage of the Azure Redis-as-a-Service offering is the additional management capability. Revocation or renewal of access key, maximum memory policy setting, data import / export, usage metrics, etc. When running on a virtual machine, it must be set manually.
Azure Cache for Redis is based on the popular Redis software. Typically used as a cache to improve the performance and scalability of systems that rely heavily on primary data stores. Performance is improved by temporarily copying frequently accessed data to high-speed storage near the application. With Azure Cache for Redis, this fast storage is not loaded from the disk by the database, but is placed in the Azure Cache for Redis.
Azure Cache for Redis can also be used as an in-memory data structure store, a distributed non-relational database, and a message broker. Take advantage of the low latency and high-speed performance of the Redis engine to improve application performance.Azure Cache for Redis gives access to a secure and dedicated Redis cache. Azure Cache for Redis is managed by Microsoft, hosted in Azure and accessible from all applications inside and outside Azure.
Azure Redis Cache is one of the cache services provided by Microsoft Azure. Based on the popular open source Redis Cache, users can benefit from both the rich features and ecosystem of Redis, as well as reliable hosting and monitoring from Microsoft.
Redis which is used by companies like Twitter, GitHub, Stack Overflow, Snapchat, Pinterest to name a few, is different from the traditional caches as it supports a variety of data structures like strings, hashes, lists, sets, bitmap to be used as keys. . In addition, features such as transactions, pub / sub, Lua scripts, and limited-life keys make it look like a traditional cache.
Presently, an Azure Redis Cache can be created from the new management portal. This service is available in two tiers:
Basic: This is mainly suitable for development/test purposes and non-critical workloads. It has a single node which is available in multiple sizes.
Standard: This provides replication through primary and secondary nodes. It supports multiple sizes and provides a SLA of 99.9% availability.
The maximum size of the Azure Redis cache is 53GB. The monthly pricing starts at $16 for Basic Tier and $41 for Standard tier. Both the customers using the Azure Managed Cache Service or In-Role Cache can easily migrate to Azure Redis Cache.
The benefits of using Azure Redis Cache are:
High Performance due to the low latency and high throughput capacity of Redis engine. So, as the load on the application increases, it continues to remain available. And since the cache layer is separate, the data tier can be scaled independently.
Supports a variety of programming languages like C, C#, Java, PHP, VCL, Fancy, Io, Lua, Perl, Rust, Go, Scala, Matlab, Python.
Leverages Redis authentication and supports SSL for securing cache/client communication.
Makes Redis cache highly available by having primary and secondary replica cache. If the primary cache fails, the secondary replica is promoted to primary and a new replica is created and populated. This process is automatic and is managed by Microsoft Azure.
Monitoring the health and performance of the cache, configuring alerts when a certain threshold is crossed is easy and can be done through the Azure Management Portal.
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