Muhammad Asim’s Post

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

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

Accelerating Laravel Performance with Redis: Unveiling the Power of Caching and Session Management! 🚀 Explore how integrating Redis with Laravel unlocks lightning-fast caching mechanisms, enhances session handling, and boosts overall application speed. Dive into advanced techniques for seamless integration and optimization. #Laravel #Redis #Caching #SessionManagement #PerformanceBoost

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

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

"How to Set Up a Redis Cluster in Go with Docker Compose" I’ve written an article about Setting Up a Redis Cluster in a Go Application Using Docker Compose. This post explores how to leverage Redis's power for distributed systems and caching while integrating it seamlessly into a Go-based application. If you’re interested in backend development, distributed systems, or just curious about Redis and Go, check it out! I’d love to hear your thoughts and feedback. 💡 Read the full article here: #GoProgramming #Redis #BackendDevelopment #Docker #TechArticles

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

Spotlight on Redis BullMQ!  🚀 I'm excited to highlight Redis BullMQ and its exceptional capabilities for handling real-time tasks and job scheduling.  Designed for robustness and efficiency, BullMQ seamlessly integrates into various workflows, ensuring reliability and scalability. It's the perfect choice for any platform needing topnotch queue management.   #Redis #BullMQ #MessageQueue #Learninginpublic #Nodejs

How to Install Redis GUI on Desktop ? #redis #redisinstallation #redisgui #redisdatabase https://lnkd.in/gGXwHK9a

Previously, I shared an article on deploying Celery with Redis in a Docker stack, and the views and reactions it received were amazing! This time, I’m excited to take it further and dive into a Kubernetes-based setup with more advanced concepts. Celery is a powerful task queue for managing background tasks, and Redis often serves as its broker due to its speed and simplicity. But in production, challenges arise: 1. How do you handle master-slave failover in Redis? 2. How can Celery dynamically find the current Redis master after a failover? In my new article, I explore how Redis Sentinel simplifies master-slave monitoring and failovers in Kubernetes. With Sentinel, Celery’s Redis client can: ✅ Automatically retrieve the master IP ✅ Forward write operations to the current master ✅ Seamlessly handle failovers with minimal downtime This guide also covers advanced Kubernetes features: 1. Leveraging StatefulSets for stable and persistent Redis Pods 2. Using headless services for direct Pod-to-Pod communication 3. Ensuring high availability and scalability for production-grade deployments If you're looking to elevate your Celery + Redis (as broker) architecture to handle real-world challenges with ease, this article has you covered. Link: https://lnkd.in/eF99SMjU #infra #iac #redis #k8s #k3s #sentinel #celery