Sayedur Rahaman’s Post

Ready to master atomic operations in your Laravel projects? The Redis transaction method is your new secret weapon! 💎 This powerful feature ensures multiple Redis commands execute as a single, indivisible operation. Perfect for maintaining data consistency in complex scenarios. #Laravel Dive into our latest blog post to learn how:

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

🚀 Scaling Real-Time Apps with Redis Pub/Sub & Socket.io Recently, I had the opportunity to scale our real-time applications using Redis Pub/Sub with Socket.io, and it’s been a game-changer. Here’s how Redis Pub/Sub helped us: 🔄 Cross-Server Messaging: Redis enabled seamless communication across multiple server instances, ensuring all users receive real-time data, no matter which server they connect to. 📡 Efficient Broadcasting: Redis allowed us to broadcast events like messages and notifications in real time across all servers. 📈 High Scalability: We can now scale horizontally by adding more servers as needed, without worrying about isolating socket connections. 🛡️ Resiliency: Even if one server goes down, Redis continues to relay messages across the remaining instances, keeping everything running smoothly. The setup was straightforward: 1️⃣ Clients connect to different server instances using Socket.io. 2️⃣ Servers communicate through Redis Pub/Sub, distributing messages across all connected clients. 3️⃣ Scaling became as simple as adding more servers while Redis handled real-time message broadcasting. While there are alternatives like NATS, Kafka, RabbitMQ, and ZeroMQ, for our needs, Redis Pub/Sub struck the perfect balance between ease of use, scalability, and performance.

Redis and Its Default Configurations: A Dangerous Cocktail at Scale 🍸🚀 When it comes to deploying Redis in a production environment, the default configurations are fine for local or dev setups. But at scale, certain settings can become ticking time bombs. Beyond the obvious tweaks like eviction policy and maxmemory configs, let's explore some lesser known but critical settings you need to adjust: 🔧 1. repl-backlog-size (Buffer for Replication) Default Size: 1MB At scale, more than 1MB of data can change within a second. If your replica goes offline for more than a second, it might have to perform a full sync due to the small backlog, severely impacting master performance. Adjust this setting to ensure your replicas can recover and stay in sync with the master. 🔧 2. client-output-buffer-limit (Replica) Default Transfer Limit: 64MB The default transfer limit between master and replica is 64MB. Any minor connection issue can force a replica to go out of sync, leading to a full sync which might fail due to this limit. Increase this limit to handle higher data transfer volumes. 🔧 3. save (Backup Dump) Default Backup Intervals: Every 15 minutes if at least 1 key changes. Every 5 minutes if at least 300 keys change. Every 1 minute if at least 10,000 keys change. At peak scale, these thresholds are easily hit, causing frequent backups and significant I/O and CPU overhead. Adjust these intervals to reduce overhead in high-scale environments. 💡 Key Takeaway: Default Redis configurations aren’t cut out for production at scale. Properly tuning settings like repl-backlog-size, client-output-buffer-limit, and save intervals is crucial for maintaining performance and stability. 📊 Pro Tip: Always monitor your Redis instance and adjust configurations based on your specific workload and scale. #Redis #TechTips #DatabaseManagement #Scalability #DevOps #PerformanceOptimization #TechLeadership #ProductionReady

How to Quickly Create and Easily Configure a Local Redis Cluster

When Redis Misbehaves🪄 Is your Redis acting up? Look out for these common issues: ⛔Memory overload: Hitting max memory limits unexpectedly ⛔LRU optimization: Incorrect memory eviction policy ⛔Connection drops: Clients disconnect intermittently ⛔Replication lag: Replicas falling behind the master ⛔Key eviction spikes: Unexpected surges in evicted keys ⛔CPU bottleneck: Unable to utilize all cores Don't let Redis hiccups slow you down! Proper monitoring and tuning can keep your data flowing smoothly - let's talk! #WebsiteOptimization #DevOps #ITConsulting #WebHosting #OnlineBusiness

Meet the Redis VS Code extension, which brings Redis right into your IDE so you can work faster and keep your workflows streamlined. Check out features like intuitive tree view browsing, full CRUD operations, and enhanced Redis CLI within VS Code. Perfect your Redis data handling with syntax previews, highlighting, and auto-completion: https://lnkd.in/dCcXFVaS

🚀 Looking for a Free, Open-source Redis Alternative? Meet Valkey! 🚀 Redis has been the standard for caching, session management, and real-time analytics. But with Redis’s shift from a BSD license to SSPL, many devs are on the lookout for open-source alternatives. Enter Valkey – a powerful, fully open-source key-value store! Why Consider Valkey? ✅ Caching: Efficiently speed up your application with fast data access. ✅ Session Management: Seamlessly handle user sessions. ✅ Real-time Analytics: Store & process data for live insights. ✅ Message Queuing: Ideal for inter-service communication in distributed systems and background-jobs automation. Bonus: As Valkey is a fork of Redis, it is compatible with Redis tools like ioredis and Redis Insight, making switching easier and minimizing the learning curve! As an open-source Redis alternative, Valkey combines performance with transparency and community support. Ideal for those who value open-source freedom without sacrificing functionality. 🌐💡 👇 Check out Valkey and explore if it’s the right fit for your next project! https://lnkd.in/eDyCDRkY #OpenSource #RedisAlternative #Valkey #Caching #SessionManagement #RealTimeAnalytics #DevOps #OpenSourceSoftware

Unlock the power of Redis transactions in Laravel! 🚀 Learn how to keep data consistent by executing multiple commands as one atomic operation. Check out the latest from our community on making Laravel and Redis work smoothly together.

Dice 🎲 is an extremely simple Golang-based in-memory KV store that speaks the Redis dialect. Because Dice speaks Redis' dialect, you can connect to it with any Redis Client and the simplest way it to use a Redis CLI. #devopskhan