𝙍𝙚𝙙𝙞𝙨, 𝙃𝙖𝙣𝙙𝙡𝙞𝙣𝙜 𝙃𝙞𝙜𝙝 𝙑𝙤𝙡𝙪𝙢𝙚 𝙏𝙧𝙖𝙛𝙛𝙞𝙘, Part 2 of Code to Solve Problem. Redis is a popular choice for solving various caching problems, especially when handling high user base. So, Today I put it to test to demonstrate how Redis significantly enhances your project efficiency. # TL;DR Before Redis 👉 Response time of 50ms and merely 50 concurrent connections After Redis: Response time slashed to 20ms and scaled to infinite number of connections; (while true) #redis #caching #scalability #WebDevelopment
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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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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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Just saw Redis 8.0-M02 in action, and wow—it’s insanely fast! They’ve achieved up to 54% lower latency on key commands, making it a huge leap in performance. The improvements in their vector query engine are mind-blowing too, handling up to 1 billion vectors with real-time precision. It’s crazy to think how much more efficient Redis has become for both traditional and modern use cases. Redis keeps setting new standards in speed and scalability—huge respect for the team behind this! Check it out: https://lnkd.in/gF2ikSuZ #Redis #Scalability #PerformanceMatters
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Whether you're handling millions of requests per second, managing live chats, or running a high-speed leaderboard, Redis operates entirely in memory, making it incredibly fast. 🚀 Redis excels in real-time performance and in-memory operations for blazing-fast caching, messaging, and more. But Redis is just the beginning! 🌊 In my latest video, I explore 6 other lesser-known databases that can transform your projects, from handling complex relationships to AI-driven vector searches. Don't limit your tech stack—discover these powerful tools. Check out the video here: https://lnkd.in/dE7_dP_A #Databases #UncommonDatabases #Redis #ArjanCodes
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#Redis 8 Milestone 2 is here, delivering unparalleled #performance and #scalability. The Query Engine now supports both vertical and horizontal scaling, making it ideal for a wide range of workloads. Additionally, we've optimized over 20 common commands, resulting in significant latency reductions (e.g., up to 36% for ZADD). For a detailed blog by Lior Kogan and Filipe Oliveira pls, read: https://lnkd.in/dFEYQUbZ Refer to the following p50 (median) latency reduction in Redis 8.0-M02 compared to Redis 7.2.5. We can see p50 latency improvements across data types ranging from 9% to 53% latency reduction. #redis #communityedition #product #announcement #release #opensource
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#Day47 of #100DaysOfALXSE I am really happy, yesterday I faced a lot of trouble setting up and making my redis work, at some point I was even thinking of removing the redis feature, to save myself from the mental stress, but then I realised that using redis as a caching mechanism will make my API faster, thus improving the overall performance of the API. It will reduce the rate and number of time the database is being queried. I continued and I was able to figure out what I was doing wrong, the problem wasn't my redis server, the problem was with my implementation, the implementation I was using was that of the older version 3.x.x whereas the current version ^4.x.x was using a different approach. I was using promisify and bind, thinking I had to do it to make redis asynchronous, it was later I found out that from the most recent version, I no longer need to make use of promisify and bind, as by default asynchronous is supported by version ^4.x.x. I am really happy I didn't give up, right now my login endpoint is working perfectly. I will continue to test other endpoints. #ALX_SE #100daysofALXSE #DoHardThings #Redis #NodeJS #ExpressJS
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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
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Just completed the course on Redis: The Complete Developer's Guide. 🚀 Learned some features of Redis that I didn't know. Specially Streams and HyperLogLog. 🚀 Got some ideas on how we might utilize some features in real life scenarios. https://lnkd.in/gGKtfmAN #redis #opentowork #fullstackdeveloper #mern #freelancedeveloper
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Redis is powering projects way beyond caching. With 14 million daily Docker pulls and over 4 million downloads last year, devs are tapping into its robust capabilities for a variety of innovative apps. 🌐 Join our Intro to Redis demo to explore the full potential of Redis. From a deep dive into real-world use cases to live demos, we've got everything to get you up to speed. Save your spot now and discover why Redis is the go-to for devs seeking speed and simplicity -https://bit.ly/3wHmcbH. #caching #redis #nosql #realtime #timeseries #vectrordb #streams
Intro to Redis
https://redis.io
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The Jedis and redis-py client libraries for Redis now support client-side caching. If you want to learn more about the feature and why it can be beneficial to the performance of your application and help reduce network traffic and costs, take a look at the documentation. https://lnkd.in/ek9VAnyf For code samples, check the specific clients' pages. https://lnkd.in/edTvyg85 https://lnkd.in/eN4pgkRm #redis #clientsidecaching #realtime
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