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Today we’re thrilled to announce Redis Stack. Redis Stack consolidates the capabilities of the leading Redis modules into a single product, making it easy for developers to build modern, real-time applications with the speed and stability of Redis. Prologue At Redis, we’re building a real-time data layer to meet the universal demand for responsive, low-latency applications and services. To build a
Migrating Your Data to Redis Cloud on AWS If you act like a leader in good times, it pays off when things get tight. Download Now Adopting an IT Leadership Mindset in Tough Times If you act like a leader in good times, it pays off when things get tight. Download Now 3 Design Patterns to Speed MEAN and MERN Stack Applications Using Redis Enterprise to speed up Node.js applications written for the M
I’ve been using Redis for about six years now, and over the years I’ve exploited its few data types to do some pretty versatile things such as geographical queries, text search, machine learning and more. But over the years, I can’t even count the number of times I’ve found myself (as did many other users) wishing that Redis would have this or other data structure, command or capability it is lack
Redis modules are add-ons to Redis that extend Redis to cover most popular use cases in a wide variety of industries. They seamlessly plug into Redis, are processed in-memory, and provide Redis’ simplicity, super high performance, scalability, and high availability. Modules can be created by anyone. With Redis modules you adapt your database to your data rather than the other way around. Use Redi
Real-time data. Any scale. Anywhere. Simple, less code Loved by developers everywhere Performance at scale <1ms database response time. Supports millions of ops per second Built-in durability Multiple persistence options on both primary and replica shards Serverless DBaaS Automated elastic scaling allowing you to focus on development, not cluster management Consistent global data at low latency Ma
Cloud computing can help host an application in a way that is both scalable and cost effective. The leading vendor in the infrastructure as a service (IaaS) arena is Amazon Web Services (AWS), which offers scalable, highly available and secure cloud hosting with Redis. If your application uses Redis for caching or data storage, below are a few tips which will help you save time, money, and achieve
Redis’ replication is an indispensable tool – it can be used both to heighten the availability of your Redis setup (you can read more about Redis availability in this post) as well as to scale it out by doing reads against read-only slaves. In implementing replication, Redis capitalizes on its core functionalities – namely RDB files – to deliver a simple and elegant mechanism that’s effective in t
# Create a new session and store it as a JSON document > JSON.SET session:12345 . ‘{“user_id”: 1001, “login_time”: “2024-02-27T10:00:00Z”, “data”: {“last_page_visited”: “/home”, “preferences”: {“theme”: “dark”}}}’ “OK” # Fetch the entire session > JSON.GET session:12345 “{\”user_id\”:1001,\”login_time\”:\”2024-02-27T10:00:00Z\”,\”data\”:{\”last_page_visited\”:\”/home\”,\”preferences\”:{\”theme\”:\
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