Kon kon drop servicing wali didi ka ad dekha hai is video ko dekhne se pehle like here 😂😂
@jaydeep793221 күн бұрын
great work bro 🤟
@RakeshSingh-vl2mz15 күн бұрын
Thanks bro learnt alot
@harshhrathore18 күн бұрын
great video!!
@ganeshgajelly12 күн бұрын
Amazing video.
@Bhide.Svelte17 күн бұрын
bro you are god really i love it ...best explanation my friend, made by day
@tejassankhla126423 күн бұрын
Thanks much needed videos like these
@sandeepdev023 күн бұрын
More to come! 😊
@ffgamer414023 күн бұрын
Thank you very much😭 bro i really need this 😘
@sandeepdev023 күн бұрын
Glad I could help😊 , it made my day
@typesoffun23 күн бұрын
Keep it up bro ❤..
@rushikeshbhumkar847419 күн бұрын
thank you
@rushikeshbhumkar847419 күн бұрын
super brooo
@TrendingShorts-5G22 күн бұрын
Really amazing video on docker and redis please if possible make more on docker and redis please bhaiya . Your explanation is very good 🤩
@sandeepdev021 күн бұрын
noted✅, content coming soon
@flutterdeveloper8 күн бұрын
I think client side caching is better using next js or react query
@user-by6oe1jl9j17 күн бұрын
Recently i have found you. your all videos are amazing sir, please bring a microservice video on node js with aws it will be so helpful. thanks.
@sandeepdev017 күн бұрын
Noted✅, will bring this content very soon
@NomiChak14 күн бұрын
How about use redis on cpanel?
@Superuser-r1y16 күн бұрын
New sub❤👍
@sandeepdev016 күн бұрын
welcome in the community bro💓
@ranjeetchoudhary882011 күн бұрын
Hello Sir, Could you please upload a video tutorial where you create an eCommerce REST API similar to Walmart using Node.js, Redis, and Express.js? The tutorial should cover authentication and all other key points typically followed by the industry.
@sandeepdev011 күн бұрын
Actually good Idea, Will do work on this soon
@disharadadiya1118 күн бұрын
Please make a video on the payment gateway with node js please
@sandeepdev018 күн бұрын
Noted✅, video will come soon on this topic
@HelooAapKaun23 күн бұрын
nice video , btw which vs code extension u use that autocompletes ur code ??
@ffgamer414023 күн бұрын
codium ai
@sandeepdev023 күн бұрын
Actually I use github copilot, but if you want same or better for absolutely free you can go for codium ai
@Superuser-r1y16 күн бұрын
Razorpay ka use krke nodejs me subscription api bano. 🙏
@sandeepdev016 күн бұрын
Working on it bro✅, Next video will be on this and coming in just couple of days
@vammotv518319 күн бұрын
This video got me to subscribed, amazing content and I have a question how much data I can store on redis? and also Instagram where storing cashed data
@sandeepdev019 күн бұрын
Hey vammotv, first of all thanks for subscribing and joining our valuable community. Here is the short answer of your questions: How Much Data Can You Store in Redis? The amount of data you can store in Redis is limited by the available RAM on your server. For larger datasets, Redis Cluster allows sharding across multiple nodes to increase capacity. Also Redis provides various data structure which can be used for efficient data storing Instagram's Caching Strategy Although Instagram's real architecture isn't public fully, But through my research I got top know Instagram uses in-memory caches like Redis and Memcached for frequently accessed data, and CDNs for static assets. They also optimize databases and use a microservices architecture to handle large-scale data efficiently. Hope these answers were able to resolve your queries, if not? feel free to ask here again and I will try my best to make video on your questions and answer them propely and in-depth😊
@vammotv518319 күн бұрын
@@sandeepdev0 Please tell me how can I write like this and you know every linkedin post they are posting like this and I am unable to write like this and I search a lot and last I am unable to find how can I write content on post plz make a detailed video and I will share lot of my friends and please explain in detail, please make video ASAP
@flutterdeveloper8 күн бұрын
But i guess there has to be some mechanism to invalidate the data after sometime manually
@sandeepdev08 күн бұрын
there is TTL in Redis which will invalidate the data after fixed time which we set, But there are some other really great approaches in Redis like: 1. Event Driven approach 2. Polling 3. Invalidation on updation of data 4. Hybrid approaches
@ayushgandhi57717 күн бұрын
I like your video but I'm looking for advanced projects For example - project-based on node.js typescript mongodb redis aws
one qustion well i can literally do that redies query but how will system know that user has updated query
@sarthaksingh695319 күн бұрын
With the help of cdc
@sandeepdev018 күн бұрын
Good question, Here is the detailed answer of your question on How to ensure Redis cache has most updated data 1. Cache Invalidation on Update Whenever data is updated in the database, immediately invalidate or update the corresponding cache entry. Implementation Steps: Update the Database: Perform the update operation on the database. Invalidate Cache: Remove or update the relevant key in Redis. Example in Node.js: const redisClient = require('./redisClient'); // assuming you've set up your Redis client const db = require('./databaseClient'); // your database client async function updateData(id, newData) { // Update the database await db.update(id, newData); // Invalidate the cache await redisClient.del(`data:${id}`); } async function getData(id) { // Check the cache first let cachedData = await redisClient.get(`data:${id}`); if (cachedData) { return JSON.parse(cachedData); } // If not in cache, fetch from the database let data = await db.get(id); // Store in cache for future requests await redisClient.set(`data:${id}`, JSON.stringify(data)); return data; } 2. Write-Through Cache When updating data, write the new data to both the database and the cache simultaneously. Example in Node.js: async function updateData(id, newData) { // Update the database await db.update(id, newData); // Update the cache await redisClient.set(`data:${id}`, JSON.stringify(newData)); } 3. Cache with Expiry (TTL) Set a time-to-live (TTL) for cache entries. This ensures that even if cache invalidation is missed, the stale data will eventually expire and be refreshed from the database. Example in Node.js: async function getData(id) { let cachedData = await redisClient.get(`data:${id}`); if (cachedData) { return JSON.parse(cachedData); } let data = await db.get(id); // Store data with an expiry time (e.g., 60 seconds) await redisClient.setex(`data:${id}`, 60, JSON.stringify(data)); return data; } 4. Event-Driven Cache Invalidation Use events to trigger cache invalidation. Whenever the database updates, it emits an event that listeners (like the cache layer) can act upon. Example with Event Emitters: const EventEmitter = require('events'); const cacheInvalidationEmitter = new EventEmitter(); cacheInvalidationEmitter.on('dataUpdated', async (id) => { await redisClient.del(`data:${id}`); }); async function updateData(id, newData) { await db.update(id, newData); cacheInvalidationEmitter.emit('dataUpdated', id); } By using one or a combination of these strategies, you can ensure that your Redis cache reflects the latest data from your database. Hope this answer will resolve your query, if not? feel free to ask here again and I will make a proper practical video on your boubt and will ensure you will get a proper answer😊
@iUmerFarooq16 күн бұрын
@@sandeepdev0 Bhai mera be same he question tha. Ap es pher ek video he bana do Part2. Shukriya
@gangitlaraju932216 күн бұрын
Need video
@Paper_Mastery14 күн бұрын
@@sandeepdev0 nice 🙂 very soon I will be asking some more but currently little busy at ts learning
@shantanunimkar447119 күн бұрын
Really amazing video bro , but I have a question, how can I ensure that when data is updated in the database, subsequent requests to the same route do not return stale data from Redis cache but instead fetch the updated data from the database?
@sandeepdev018 күн бұрын
Good question, Here is the detailed answer on how you can ensure Redis always have updated data from database: 👇👇 There are various techniques like: 1. Cache Invalidation on Update Whenever data is updated in the database, immediately invalidate or update the corresponding cache entry. Implementation Steps: Update the Database: Perform the update operation on the database. Invalidate Cache: Remove or update the relevant key in Redis. Example in Node.js: javascript const redisClient = require('./redisClient'); // assuming you've set up your Redis client const db = require('./databaseClient'); // your database client async function updateData(id, newData) { // Update the database await db.update(id, newData); // Invalidate the cache await redisClient.del(`data:${id}`); } async function getData(id) { // Check the cache first let cachedData = await redisClient.get(`data:${id}`); if (cachedData) { return JSON.parse(cachedData); } // If not in cache, fetch from the database let data = await db.get(id); // Store in cache for future requests await redisClient.set(`data:${id}`, JSON.stringify(data)); return data; } 2. Write-Through Cache When updating data, write the new data to both the database and the cache simultaneously. Example in Node.js: async function updateData(id, newData) { // Update the database await db.update(id, newData); // Update the cache await redisClient.set(`data:${id}`, JSON.stringify(newData)); } 3. Cache with Expiry (TTL) Set a time-to-live (TTL) for cache entries. This ensures that even if cache invalidation is missed, the stale data will eventually expire and be refreshed from the database. Example in Node.js: async function getData(id) { let cachedData = await redisClient.get(`data:${id}`); if (cachedData) { return JSON.parse(cachedData); } let data = await db.get(id); // Store data with an expiry time (e.g., 60 seconds) await redisClient.setex(`data:${id}`, 60, JSON.stringify(data)); return data; } 4. Event-Driven Cache Invalidation Use events to trigger cache invalidation. Whenever the database updates, it emits an event that listeners (like the cache layer) can act upon. Example with Event Emitters: const EventEmitter = require('events'); const cacheInvalidationEmitter = new EventEmitter(); cacheInvalidationEmitter.on('dataUpdated', async (id) => { await redisClient.del(`data:${id}`); }); async function updateData(id, newData) { await db.update(id, newData); cacheInvalidationEmitter.emit('dataUpdated', id); } By using one or a combination of these strategies, you can ensure that your Redis cache reflects the latest data from your database. I hope this answer will resolve your query, if not? feel free to ask in comments section and I will make dedicated video on this topic and practically explain you how you can ensure Redis cache have most updated data
@sandeepdev018 күн бұрын
Good question, Here is the detailed answer of your question on How to ensure Redis cache has most updated data 1. Cache Invalidation on Update Whenever data is updated in the database, immediately invalidate or update the corresponding cache entry. Implementation Steps: Update the Database: Perform the update operation on the database. Invalidate Cache: Remove or update the relevant key in Redis. Example in Node.js: const redisClient = require('./redisClient'); // assuming you've set up your Redis client const db = require('./databaseClient'); // your database client async function updateData(id, newData) { // Update the database await db.update(id, newData); // Invalidate the cache await redisClient.del(`data:${id}`); } async function getData(id) { // Check the cache first let cachedData = await redisClient.get(`data:${id}`); if (cachedData) { return JSON.parse(cachedData); } // If not in cache, fetch from the database let data = await db.get(id); // Store in cache for future requests await redisClient.set(`data:${id}`, JSON.stringify(data)); return data; } 2. Write-Through Cache When updating data, write the new data to both the database and the cache simultaneously. Example in Node.js: async function updateData(id, newData) { // Update the database await db.update(id, newData); // Update the cache await redisClient.set(`data:${id}`, JSON.stringify(newData)); } 3. Cache with Expiry (TTL) Set a time-to-live (TTL) for cache entries. This ensures that even if cache invalidation is missed, the stale data will eventually expire and be refreshed from the database. Example in Node.js: async function getData(id) { let cachedData = await redisClient.get(`data:${id}`); if (cachedData) { return JSON.parse(cachedData); } let data = await db.get(id); // Store data with an expiry time (e.g., 60 seconds) await redisClient.setex(`data:${id}`, 60, JSON.stringify(data)); return data; } 4. Event-Driven Cache Invalidation Use events to trigger cache invalidation. Whenever the database updates, it emits an event that listeners (like the cache layer) can act upon. Example with Event Emitters: const EventEmitter = require('events'); const cacheInvalidationEmitter = new EventEmitter(); cacheInvalidationEmitter.on('dataUpdated', async (id) => { await redisClient.del(`data:${id}`); }); async function updateData(id, newData) { await db.update(id, newData); cacheInvalidationEmitter.emit('dataUpdated', id); } By using one or a combination of these strategies, you can ensure that your Redis cache reflects the latest data from your database. Hope this answer will resolve your query, if not? feel free to ask here again and I will make a proper practical video on your boubt and will ensure you will get a proper answer😊
@shantanunimkar447117 күн бұрын
@@sandeepdev0 Thank you 😁
@JatinGupta-ze6nc18 күн бұрын
guruji kha the ap apkw charan kha hai mai kitna darta tha ye soch k kya hai ye aj smjh aya
@sandeepdev017 күн бұрын
I'm really glad that you have liked this video. One of the best comment on my channel ever😅, Also comment down on what topics you want the next videos on☺️
@AyushGupta-ux4gq20 күн бұрын
isn't similar to memoisation concept ?
@sandeepdev019 күн бұрын
Yes Ayush, you are absolutely right ✅
@wasimzaman67415 күн бұрын
Different APIs k liye different caching Karne se Radis ki wajah se memory leak nahi hogi ?
@sandeepdev015 күн бұрын
When using Redis, it is crucial to follow best practices to ensure there are no memory leaks: 1. Use the LRU eviction policy to automatically remove the least recently used entries when memory limits are reached. 2. Set TTL (Time-to-Live) for each cache entry to automatically remove stale data. 3. Set memory limits to prevent Redis from consuming excessive memory. 4. Implement cache segmentation to manage memory usage more effectively by using distinct keys for different APIs. 5. And make sure to use effective data structure according to your system/data need, because Redis supports a variety of data structures to manage data effectively.
@vammotv518316 күн бұрын
Please tell me how can I write like this and you know every linkedin post they are posting like this and I am unable to write like this and I search a lot and last I am unable to find how can I write content on post plz make a detailed video and I will share lot of my friends and please explain in detail, please make video ASAP
@sandeepdev016 күн бұрын
Hey bro, first of all, thanks for commenting, but sorry I didn't get your query, Can you explain to me a bit more and with clarity what you are exactly asking?
@anuragsidhu786320 күн бұрын
In production how its going to work . When i stop docker , redis will not work .
@sandeepdev020 күн бұрын
In production, There are various ways, like you can use Redis cloud, where Redis is hosted on the cloud or you can host Redis on your server as well, for example on AWS EC2 using the same docker image, and also AWS, Azure, etc. (famous cloud providers) provides Redis cloud in their services which are usually used in production. Hope this answer has resolved your query if not? feel free to ask in the comments section
@anuragsidhu786320 күн бұрын
How about upstash . For production
@anuragsidhu786320 күн бұрын
@@sandeepdev0 How about upstash for production
@sandeepdev018 күн бұрын
Yes, upstash also can be used in production. Its also great👌
@anuragsidhu786318 күн бұрын
@@sandeepdev0 thanks 👍
@LOLlol-kw5fo19 күн бұрын
What about accounting software there data needs to be real-time
@sandeepdev018 күн бұрын
Redis Pub/Sub can be used in these types of softwares
@rnp072816 күн бұрын
What if my data comes from database and it changes continuously?
@rnp072816 күн бұрын
Atleast reply don't just like the comments
@sandeepdev016 күн бұрын
If your data changes continuously, you need a robust caching strategy to ensure data consistency while minimizing the performance impact. Here are some approaches: 1. Event-Driven Updates Emit events on data changes and have the cache update itself based on those events. Example with Event Emitters: const EventEmitter = require('events'); const cacheUpdateEmitter = new EventEmitter(); cacheUpdateEmitter.on('dataUpdated', async (id, newData) => { await redisClient.set(`data:${id}`, JSON.stringify(newData)); }); async function updateData(id, newData) { await db.update(id, newData); cacheUpdateEmitter.emit('dataUpdated', id, newData); } 2. Polling Periodically poll the database for changes and update the cache accordingly. Example: async function pollAndUpdateCache(id) { setInterval(async () => { let data = await db.get(id); await redisClient.set(`data:${id}`, JSON.stringify(data)); }, 5000); // Poll every 5 seconds } 5. Hybrid Approach Combine several strategies for optimal performance and consistency. By implementing one or a combination of these strategies, you can handle continuously changing data effectively while maintaining cache consistency.
@sandeepdev016 күн бұрын
In some cases like Chat Apps where messages are sent in realtime , you can utilize Redis Pub Sub for optimize the performance
@sandeepdev016 күн бұрын
Sorry bro for late replying, thanks for waiting, here I have given the answer, but if you still have more questions, want more clarity upon answers, feel free to comment here, I will make a dedicated practical video for resolving your queries😊
@rnp072816 күн бұрын
@@sandeepdev0 thanks, will try to implement once, then I will get back to you
@DivineVibesHindusКүн бұрын
how to check if data is changed
@sandeepdev020 сағат бұрын
There are several techniques to do this, Hard to explain here... I am making a proper video on it
@DivineVibesHindus20 сағат бұрын
@@sandeepdev0 please make a video its important if i am use radis in my project
@swapnilpatel333722 күн бұрын
Schema to diffrence hogi jab ki microservice pe kam karta he instagram to db bhi alg he
@sandeepdev022 күн бұрын
yes you are right, but I also said that this is just an example and its not the actual and real architecture of Instagram. That was just a simple example to make everyone understand the problem solved by Redis.
@sandeepdev022 күн бұрын
But thanks for commenting on the video☺️
@swapnilpatel333720 күн бұрын
@sandeepdev0 thank you sir...
@jayantgupta531017 күн бұрын
Bhai ye thoda music dhang ka use kiya kr, baki sb theek hai
@sandeepdev017 күн бұрын
Got it bro, I will be careful next time☺️
@JourneyOfCricket18 күн бұрын
But if we want real-time data then?
@sandeepdev018 күн бұрын
REDIS PUB SUB can be used in this case
@JourneyOfCricket18 күн бұрын
@@sandeepdev0 can you create video on that
@JourneyOfCricket18 күн бұрын
@@sandeepdev0 thanks
@JourneyOfCricket18 күн бұрын
And if there is any change on data in that case ?
@nasarali518616 күн бұрын
@@sandeepdev0What about sockets
@vammotv518315 күн бұрын
Bro, see my comments you can understand what I am telling