How to apply Api rate-limit using redis in springboot ? After connecting the Spring Boot application with Redis, we need to create a bucket. A bucket can serve as a container for limit configurations, such as 1000 tokens per month or 100 tokens per day, or both. Once configured, the bucket will hold the specified number of tokens—1000 for a monthly limit or 100 for a daily limit. This bucket will act as the source of truth to either allow or reject requests based on the number of tokens available. Each API call will consume one token from the bucket. Once all tokens are exhausted, the rate-limiting system will prevent further requests from being processed
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Learnt some crazy concepts🚀 PubSubs Redis Dockerisation of redis Tried redis with node js and workers to use queue and memory caching It was fun! Let me know if there's something more crazier stuff I should have a look #learninpublic #100DaysOfCode #100xdevs
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I recently productionised Redis stack for a vector search use case with RedisVL client. Found no concrete resource to configure it with docker compose, hence wrote a small blog article how to configure it with max-memory and key eviction policy on reaching max-memory. FYI: Tyler Hutcherson #redis #docker #vectorsearch
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I recently had the opportunity to work on a project that involved implementing backend caching using Redis, Redis is a powerful open-source, in-memory data structure store that can be used for a variety of purposes, including caching. In this project, I used Redis to cache the responses from some of my more resource-intensive API endpoints, which helped significantly improve the overall performance and responsiveness of the application. The process of setting up and integrating Redis into the Django backend was pretty straightforward. I combined the built-in Django caching framework and the Redis library to handle the caching logic. This allowed me to easily cache the responses, set expiration times, and invalidate the cache when needed.
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In this Redis Crash Course, Piyush Garg explains what Redis is and How you can use Redis to speed up your servers and scale your servers using Redis In-Memory Data Store for caching values faster. https://lnkd.in/daJ3wW-Z
Redis Crash Course
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🚀 Latest Update Announcement 𝗔𝗰𝗰𝗲𝘀𝘀 𝗥𝗲𝗱𝗶𝘀 𝗖𝗿𝗲𝗱𝗲𝗻𝘁𝗶𝗮𝗹𝘀 𝗼𝗻 𝗙𝗹𝘆𝗪𝗣 With the new Redis credentials access and other key fixes, you can gain full control over your Redis caching system. 𝗞𝗲𝘆 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀: 🔑 Redis Credentials Access for better caching control ⚡ Easier updates with new "Update All" dropdown 🛠 Improved data fetching and API enhancements 🔗 Full changelog: https://buff.ly/3NAHgFE #FlyWP #Redis #WordPress #Credentials
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Today, I learned Redis and discovered its potential in optimizing backend APIs. 🚀 Redis is incredibly powerful for caching, and when it comes to backend optimization, it really shines. 💡 I implemented Redis caching in one of my Django projects today and saw firsthand how it enhances performance by reducing database queries and speeding up response times. Some cool features of django-redis: ** Easy integration with Django’s caching framework. ** Supports a variety of Redis commands out of the box. ** Automatic cache invalidation to ensure consistency. ** Fast in-memory storage to improve load times. Redis has proven to be a game-changer for optimizing API performance! #Redis #Django #BackendDevelopment #Optimization #APIPerformance
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Looking to implement API rate limiting in your Next.js project? 🤔 Check out my latest blog on how to achieve this with Upstash Redis. Rate limiting is crucial for preventing abuse, ensuring fair usage, and maintaining the performance and reliability of your APIs. 👉 https://lnkd.in/dVeGHwUn #NextJS #APIRateLimiting #Upstash #Redis #WebDevelopment #TechBlog
Next.js API Rate Limiting with Upstash Redis
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Boost Spring Boot Performance with Redis Supercharge your Spring Boot apps with Redis for ultra-fast caching and efficient session management. Integrate Redis for better speed and scalability! #SpringBoot #Redis #Caching #Performance #JavaDevelopment #TechTips
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🗂️ Unlock the Power of Caching Strategies in ASP.NET Core! 🗂️ We are pleased to present this detailed tutorial on caching strategies and theory in ASP.NET Core. Learn how to effectively implement local and distributed caching using Redis to optimize your application’s performance. Watch the full video here: Caching Strategies & Theory [AspNetCore, C#, Redis, Distributed Caching] #ASPNETCore #Caching #Redis #SoftwareDevelopment #MicrosoftPartner #TechTutorial #SwissTech https://lnkd.in/d24ZaM4k
Caching Strategies & Theory [AspNetCore, C#, Redis, Distributed Caching]
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Learn how to reduce external API calls and speed up response times by leveraging the power of Redis. You'll discover: - How to set up an Express.js application - The benefits of caching with Redis - Detailed, step-by-step code explanations - Practical tips for optimizing API performance #redis
Implment Redis With ExpressJS Application
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