Couple of very high level takeaways I could get from this podcast: 1. Keep all features behind a feature flag.This helps when you need to turn something off that's breaking production without doing a code release. 2. Wherever possible have a stand by setup like a static api that can keep your most business critical services up to ensure no customer/business impact in case a disaster strikes your system. 3. Run time auto scaling of DB capacity doesn't necessarily work for use cases like live streaming. You need to scale up before traffic surges. 4. Careful planning and back of the envelop calculation for all system components that are likely to get impacted by traffic surges. Like DBs, Kafka, CDN etc.
@@harshitsaini7879 It is for this reason I say NFR are no more Non Functional, they are Functional Requirments from Day One for SaaS and Cloud Solutions.
The way Prachi broke down and explained the intricacies of scaling and load handling for high-traffic applications like JIO Cinema is truly commendable.
Rule 1. If it works, leave it Rule 2. Preplan things Rule 3. Always assume that things will fail 100% and have backup ready Rule 4. Feature flags are superb In short, system design requires presence of mind and future planning (generally taking peak cases)
Key notes: Feature flags, Circuit breaker pattern, APM, Kubernetes, Client Caching, Multi cdn optimiser, Cache offload, Kafka distributed system, Ads timing is manual, Ad personalisation is on the server side.
Feature flag (keeping in config service, based on geography), Charles testing tool, Exponential backoff for API retries, Request flow ( client -> Multi CDN -> LB -> Origin server -> DB), DB autoscaling is not recommended (takes lot of time 45 mins from her example for scaling 5 instances) (prescale is recommended after some calculations), Increasing TTL of caches when there's a hockey spike (can or cannot help), API personalization (serving static response when having this hockey spikes), Always Prepare for plan B,C,D, Multi CDN Optimizer (decides where to send the traffic, used for live streamings), Cache Offload < 90%, Designing cache policy in CDN is important (offloading cache monitoring), Kafka, DNS issue mitigation at backend,
Not sure how many non tech people will be watching it, but If you're watching this, take a moment to appreciate the people who are disrupting their own schedules and family time to ensure you enjoy a seamless IPL match. Their dedication makes this experience possible and tech a good place to be in.
Can we take a moment to appreciate the engineers involved in this, they stretch their time , compromise connections with their families for us to have a seamless experience, it’s a long work for 2 months and hope they deserve necessary appreciation and bonuses for their time. Yes , tech is just one aspect, but I hope asking questions like how the team is able to manage the work load is also very important.
The ad insertion part was quite interesting for me, I did not realize that even the ads that we see during the games could be personalized and inserted based on different strategies. SCTY-35 markers was something completely new to me. The guest really had an end to end grasp of the whole solutions and was able to present a very coherent picture. Loved the podcast :)
Might be a possibility that jio decided to have at least one female director, so hired her on low salary. Just an assumption. Beacuse there are many ofher IITians out there why they hired from normal college?
Excellent content! As a backend engineer, this is exactly the kind of content I love to watch. I hope you continue to bring such insightful guests on the show.
Hey @arpit, can you get someone from IRCTC technical team who can get us understanding on Tatkal mechanism. I believe what Amazon, hotstar, jiocinema do in their seasons(be it ipl, billion day sale etc) irctc handles far more requests on daily basis during Tatkal.
@@anuragsengupta2880 Respected Sir, Please can you provide your pincode so that I can send you "Burnol". That'll help you with your Jalan problem. Thanks 🤝
During the whole podcast I had this question ringing how jio cinema use ads and at the end you discussed it, I will be exploring the whole architecture again and in a much more detailed fashion. It just rose my curiosity to another level.
Thanks Arpit and Prachi. Interesting questions covering end to end flow and very well put in-depth answers. Looking forward to the next episode! One question on personalized Ads insertion: * Why can't we pre-determine personalized Ads for a user in advance and play them during the break? I think bucketing a user based on certain user parameters is a good work around for now. pros: * More personalization (More revenue) * Not much time is spent on choosing an Ad: Since we would already have a list of Ads to pick from, there will not be much time waste to select an Ad during break. cons: * Waste of compute/memory resources to personalize Ad for a user who never watches the stream till they get to Ad break. Some more follow up questions: * How we can know more about user? This brings more number of Advertisers on the platform. * Can we add Ad bidding in this high concurrency streaming situation. Following is another interesting question for me to dive deep: * How can we show a particular Ad to exactly 'X' number of people? i.e. No over delivering or under delivering.
O my god 😂 I also have studied in the same class in the same batch at the same college where she pursued her bachelor's in engineering. Look at me, where do I stand today and look at her , oops , I am really out of words to appreciate her for this height of success she has reached. Wow so cool happy for being her classmate once upon a time. At the same time I really feel ashamed.
Great insights, mostly when you see these kind of things people throw around standard fancy terminologies, but here its just from pure experience, deciding on base64, multiplication factors, one small change * the number of API requests etc... Enjoyed watching this.
Man!! What an amazing podcast ❤ no useless talks, every point was clear though I’m a data engineer, not everything topics discussed we work on. Please do more such podcasts 🎉
Gem of a podcast! Loved it! Just a small suggestion, please ping for more real time examples when the speaker is briefing about particular part of application or explaining any backup procedures, giving out more use cases just helps in connecting better, even for newbie like me!! Overall was a interesting talk!
I recall Hotstar tech video about the realtime scaling during IPL and they were discussing same strategy specially for moment when there is "DHONI" in the chapter 😃😃😃
This is a great podcast. I am a senior backend engineer in the UK and I found this to be very useful. Thanks for the content. PLease make more videos :)
00:01 JioCinema's Prachi Sharma explains the complex tech and prep behind live streaming IPL to 20 million devices 02:16 Pre-match and post-match processes for handling live streaming infra 07:33 Performing comprehensive audits for system stability and performance. 09:53 Using feature flags and simulations to ensure smooth live streaming of IPL matches 14:36 JioCinema uses an in-house conf service for feature flags. 17:16 JioCinema uses a multi-CDN infrastructure for live streaming IPL to 20 million devices 21:38 Managing varying traffic loads and mitigating system failures 23:53 Use of panic mode and planning for unexpected surges 28:05 Benefits of using Multi CDN 30:15 Images overload caused by star feature 34:30 JioCinema plans and handles use cases for live streaming IPL to 20M devices 36:47 Debugging DNS failures for JioCinema 41:13 JioCinema uses different methods for ad insertion in live streaming. 43:54 JioCinema live streams IPL to 20 million concurrent devices
Hi all techies, I am stuck trying to figure out the maximum capacity of my system. Specifically, I am running Nginx on a system with: 4 CPUs 8 GB RAM 1 Gbps network I want to know how many requests it can handle. Additionally, I want to understand the capacity for the backend Node.js application and the database. Is there any formula or type of calculation to determine this?
It totally depends on what you are doing in every request, be it talking to database, or manipulating string, or encryption, or making network calls. Even within each of this, it depends on how time consuming each task/operation is. There is no magic formula that can help you determine the #req your machine can handle. So the best way to do this is by load testing your setup and then extrapolate.
It is so beautiful that the streaming platform does have many bottlenecks and they have many ways to mitigate according to the failures they faced or they may face. Thanks for enlightenment Arpit❤
Great podcast, never a dull day when you are streaming at Bharat scale ❤️ More power to you, Prachi 🚀 thanks Arpit for bringing such insightful content 👍🏻
hotstar mein kavi problem nahi aaya tha jab high traffic match hote the...the csk vs rcb match mein boht bar lag aaya refresh karke v thik nahi ho rha tha...jio cinema mein ec2 instances ki kami ho gyi thi kya
What a session🎉, lot more details in a less time, we wish more these kind of sessions across all other company cloud operations, thanks Team, great job.
Thanks Arpit Sir, for doing system design PODCASTS! with actual engineers. I mean this is such a good concept, I hadn't thought was possible, and you are making it happen. The guest was really good, got to learn a lot about system design just by listening to this podcast. Good quality content 👍 keep making for us.
Brilliant discussion. It would be worth having a follow up on the video production side of the infrastructure and how those live feeds are ingested by Jio and then streamed out to the clients. How are some of the design choices made to support the real time requirements
I see the video caption is "... 20 million concurrent devices ...", however IRL I see some match view counter reads 2CR+ Do we have a wrong caption? They do talk about how that counter is driven by kafka and is eventually consistent read.
She is a prime example of beauty with brains. Carries so much in depth knowledge about everything. Be it about DNS, kafka, CDNs their ads service she explained it very well.
I agree with you, she is smart and presentable. Brain, she used is in stealing the limelight as always on behalf of team and ignoring them to make it personal achievement.
Loved the term "Brace for impact" made me smile, kudos to such highly available architecture. Way Prachi explained things in detail hats off!! Thanks @arpit for bringing this podcast!! Loved it♥
Amazing content!! Can you make a video on how to calculate no of servers required with given rps and latency? How do hardware limitations change the calculation? How sync and async calls affect the numbers?
Is there a deep dive on a full HLD of such a service? (IPL streaming) I saw the hotstar one but that was not a deep dive too, just scratched the surface.
On jio cinema its number of views altogether, not concurrent views as it was in hot star. This is how people are fooled. In one match it was showing 48Cr. I'm damn sure ipl has no that many audience
Jio shows total view count instead of concurrent view. That doesn't change the number of people watching simultaneously. Despite being the fact that the total view count is shown, the number of people watching a IPL match simultaneously always will be in millions and millions.
Hello guys .. second video I'm watching on this type of topic .. not getting much.. I'm from mechanical bg and started working in development recently.. got bit interested in system design guide me how can I do better what should I do read, watch anything will be helpful Thank you 🙋
Btw the match (yesterday) between RCB and CSK had 50 crore concurrent viewer. That's 500 million concurrent viewer. Some crazy engineering work at Jio Cinema! Kudos to them 🚀
@@rohitlakhotia3357 bhai hotstar vale concurrent dikhate the. Hotstar pe maine dekha tha maine about 1.5 crore highest. Jio vale dikhate hai ki kitne logo ne stream suru hone se leke abtak us match vale tab ko open kya.
Couple of very high level takeaways I could get from this podcast:
1. Keep all features behind a feature flag.This helps when you need to turn something off that's breaking production without doing a code release.
2. Wherever possible have a stand by setup like a static api that can keep your most business critical services up to ensure no customer/business impact in case a disaster strikes your system.
3. Run time auto scaling of DB capacity doesn't necessarily work for use cases like live streaming. You need to scale up before traffic surges.
4. Careful planning and back of the envelop calculation for all system components that are likely to get impacted by traffic surges. Like DBs, Kafka, CDN etc.
Always have a plan b,c,d... in case something went wrong.
any auto scaling almost never works for any kind of sale type event.
@@harshitsaini7879 It is for this reason I say NFR are no more Non Functional, they are Functional Requirments from Day One for SaaS and Cloud Solutions.
not 20 million, it is 200 million
During the fire, disable resources for P2 & P1 for the p0 remain up
The way Prachi broke down and explained the intricacies of scaling and load handling for high-traffic applications like JIO Cinema is truly commendable.
No she didn't.
The only IPL thing I'm interested in
The real IPL
Haven't watched a single match this year 😅
Me 2
Same here, I guess they use lamda function with kubernetes
GOAT
Rule 1. If it works, leave it
Rule 2. Preplan things
Rule 3. Always assume that things will fail 100% and have backup ready
Rule 4. Feature flags are superb
In short, system design requires presence of mind and future planning (generally taking peak cases)
Key notes: Feature flags, Circuit breaker pattern, APM, Kubernetes, Client Caching, Multi cdn optimiser, Cache offload, Kafka distributed system, Ads timing is manual, Ad personalisation is on the server side.
Feature flag (keeping in config service, based on geography),
Charles testing tool,
Exponential backoff for API retries,
Request flow ( client -> Multi CDN -> LB -> Origin server -> DB),
DB autoscaling is not recommended (takes lot of time 45 mins from her example for scaling 5 instances) (prescale is recommended after some calculations),
Increasing TTL of caches when there's a hockey spike (can or cannot help),
API personalization (serving static response when having this hockey spikes),
Always Prepare for plan B,C,D,
Multi CDN Optimizer (decides where to send the traffic, used for live streamings),
Cache Offload < 90%,
Designing cache policy in CDN is important (offloading cache monitoring),
Kafka,
DNS issue mitigation at backend,
thankss
Thanks mate
The engineering behind the amazing stuff we get to experience in life is nothing less than magic! Thanks for making these podcasts happen Arpit
Not sure how many non tech people will be watching it, but If you're watching this, take a moment to appreciate the people who are disrupting their own schedules and family time to ensure you enjoy a seamless IPL match. Their dedication makes this experience possible and tech a good place to be in.
Can we take a moment to appreciate the engineers involved in this, they stretch their time , compromise connections with their families for us to have a seamless experience, it’s a long work for 2 months and hope they deserve necessary appreciation and bonuses for their time. Yes , tech is just one aspect, but I hope asking questions like how the team is able to manage the work load is also very important.
The ad insertion part was quite interesting for me, I did not realize that even the ads that we see during the games could be personalized and inserted based on different strategies. SCTY-35 markers was something completely new to me. The guest really had an end to end grasp of the whole solutions and was able to present a very coherent picture. Loved the podcast :)
Thanks Arpit for bringing such content. I look for these podcasts with seniors engineers. Cheers 🎉
crazy how at very young age she is a director of engineering of company like jio/viacom
and she is from normal college
Might be a possibility that jio decided to have at least one female director, so hired her on low salary. Just an assumption. Beacuse there are many ofher IITians out there why they hired from normal college?
She had prior experience with such engineering design in hotstar. So here is the niche that takes priority over the age factor.
@@ancient.sanataniirrespective of that, she was superb. Incredible communication and she must be a very valued person ! 👏🏼👏🏼
Excellent content! As a backend engineer, this is exactly the kind of content I love to watch. I hope you continue to bring such insightful guests on the show.
Hey @arpit, can you get someone from IRCTC technical team who can get us understanding on Tatkal mechanism. I believe what Amazon, hotstar, jiocinema do in their seasons(be it ipl, billion day sale etc) irctc handles far more requests on daily basis during Tatkal.
+1
😂😂😂 +999999
🤣🤣🤣🤣🤣
boss 5 crore or 10 crore people use the app or more.. during match, how much do you think IRCTC on Tatkal time?
+1
Brilliant discussion - "Dhoni ke side effects on Content streaming architecture" would have been perfect title. Thanks for bringing this.
Don’t make everything about that middle aged credit hungry manipulator.
@@anuragsengupta2880 Respected Sir, Please can you provide your pincode so that I can send you "Burnol". That'll help you with your Jalan problem.
Thanks 🤝
During the whole podcast I had this question ringing how jio cinema use ads and at the end you discussed it, I will be exploring the whole architecture again and in a much more detailed fashion. It just rose my curiosity to another level.
Watched this during my weekend run!
What an amazing conversation- the passion that you both have for engineering is so inspiring. 🙏🏻
After watching this podcast, I am fan of Prachi Sharma. She explained so well. Superb.
Thanks Arpit and Prachi.
Interesting questions covering end to end flow and very well put in-depth answers.
Looking forward to the next episode!
One question on personalized Ads insertion:
* Why can't we pre-determine personalized Ads for a user in advance and play them during the break? I think bucketing a user based on certain user parameters is a good work around for now.
pros:
* More personalization (More revenue)
* Not much time is spent on choosing an Ad: Since we would already have a list of Ads to pick from, there will not be much time waste to select an Ad during break.
cons:
* Waste of compute/memory resources to personalize Ad for a user who never watches the stream till they get to Ad break.
Some more follow up questions:
* How we can know more about user? This brings more number of Advertisers on the platform.
* Can we add Ad bidding in this high concurrency streaming situation.
Following is another interesting question for me to dive deep:
* How can we show a particular Ad to exactly 'X' number of people? i.e. No over delivering or under delivering.
Awesome, having worked in Jio as a backend engineer, I really enjoyed watching this!
Hey what was the questions asked for fresher role ?
O my god 😂 I also have studied in the same class in the same batch at the same college where she pursued her bachelor's in engineering. Look at me, where do I stand today and look at her , oops , I am really out of words to appreciate her for this height of success she has reached. Wow so cool happy for being her classmate once upon a time. At the same time I really feel ashamed.
Kudos to you, Arpith, seriously no fluff, pure engineering ❤
Feels like review version of OG old Hotstar scaling to 25 million talk by Gaurav Kamboj
Thanks for bringing this for us Arpit!
Prachi is an ex-Hotstar engineer 😅
Ya so many of these things seemed similar to that hotstar video, its like a lot of the same legacy but under a different company
@@RwikKumarDutta Most of the devs in JioCinema are from Hotstar...
Absolutely exactly the same.
"ISP" : That guess by Arpit at 38:18 gave me goosebumps 🫡
Great to see someone really know what they are talking about.
Great insights, mostly when you see these kind of things people throw around standard fancy terminologies, but here its just from pure experience, deciding on base64, multiplication factors, one small change * the number of API requests etc...
Enjoyed watching this.
Man!! What an amazing podcast ❤ no useless talks, every point was clear though I’m a data engineer, not everything topics discussed we work on. Please do more such podcasts 🎉
Gem of a podcast! Loved it! Just a small suggestion, please ping for more real time examples when the speaker is briefing about particular part of application or explaining any backup procedures, giving out more use cases just helps in connecting better, even for newbie like me!! Overall was a interesting talk!
Thank you for this one!..please bring gaurav kamboj as well
Wonderful video Arpit. Prachi was amazing in her explanations. Great asset to JioCinema.
Really valuable for those who do not know how much work it takes to run the streaming platform.🔥
I recall Hotstar tech video about the realtime scaling during IPL and they were discussing same strategy specially for moment when there is "DHONI" in the chapter 😃😃😃
Really liked how Arpit instantly isolated the issue and asked if it with the ISP.
I Like the concept of hockey spike when dhoni is on field
Intresting 21:46
This is a great podcast. I am a senior backend engineer in the UK and I found this to be very useful. Thanks for the content. PLease make more videos :)
It's really wow, the way Prachi explained things, i am curious to join Jio Cinema now 🤣, anyway the have done a fantastic job handling IPL Traffic 👏
00:01 JioCinema's Prachi Sharma explains the complex tech and prep behind live streaming IPL to 20 million devices
02:16 Pre-match and post-match processes for handling live streaming infra
07:33 Performing comprehensive audits for system stability and performance.
09:53 Using feature flags and simulations to ensure smooth live streaming of IPL matches
14:36 JioCinema uses an in-house conf service for feature flags.
17:16 JioCinema uses a multi-CDN infrastructure for live streaming IPL to 20 million devices
21:38 Managing varying traffic loads and mitigating system failures
23:53 Use of panic mode and planning for unexpected surges
28:05 Benefits of using Multi CDN
30:15 Images overload caused by star feature
34:30 JioCinema plans and handles use cases for live streaming IPL to 20M devices
36:47 Debugging DNS failures for JioCinema
41:13 JioCinema uses different methods for ad insertion in live streaming.
43:54 JioCinema live streams IPL to 20 million concurrent devices
You've won a subscriber!
Thanks Arpit for bringing in a knowlegable person and asking the right sort of questions!
If anyone says Chatgpt can take software engineer's job. Just send them this video!
Thank you to both of you. Lots of health and happiness to you and your family.
It was just awesome.
Hi all techies,
I am stuck trying to figure out the maximum capacity of my system. Specifically, I am running Nginx on a system with:
4 CPUs
8 GB RAM
1 Gbps network
I want to know how many requests it can handle. Additionally, I want to understand the capacity for the backend Node.js application and the database. Is there any formula or type of calculation to determine this?
It totally depends on what you are doing in every request, be it talking to database, or manipulating string, or encryption, or making network calls. Even within each of this, it depends on how time consuming each task/operation is.
There is no magic formula that can help you determine the #req your machine can handle. So the best way to do this is by load testing your setup and then extrapolate.
Lot of useful interesting information in this clip. Prachi mentioned a lot of minute technical details.
It is so beautiful that the streaming platform does have many bottlenecks and they have many ways to mitigate according to the failures they faced or they may face.
Thanks for enlightenment Arpit❤
Real time Problems and Solutions they come up with... These are really useful podcasts. Thanks to her.
Amazing podcast....the engineering behind all this is mind blowing
Hello Prachi, your cutting edge tech has improved a lot but App on Android TV is struggling.
Great podcast, never a dull day when you are streaming at Bharat scale ❤️ More power to you, Prachi 🚀 thanks Arpit for bringing such insightful content 👍🏻
Thank you Prachi! You have a very sound knowledge and a great way of explaining all of it in simple words.
Very nice interview. Great insight into what it takes to stream such popular events.
glad to hear that chaos engineering is being used by large infrastructures to ensure resiliency of the systems
What database has been primarily used by them?
hotstar mein kavi problem nahi aaya tha jab high traffic match hote the...the csk vs rcb match mein boht bar lag aaya refresh karke v thik nahi ho rha tha...jio cinema mein ec2 instances ki kami ho gyi thi kya
What a session🎉, lot more details in a less time, we wish more these kind of sessions across all other company cloud operations, thanks Team, great job.
Thanks Arpit Sir, for doing system design PODCASTS! with actual engineers. I mean this is such a good concept, I hadn't thought was possible, and you are making it happen.
The guest was really good, got to learn a lot about system design just by listening to this podcast.
Good quality content 👍 keep making for us.
18th feb 2024 3rd test day 4, india 2nd inning the viewers showing on tv screen was 52.8Cr. can someone explain this. I have a picture of this.
Brilliant discussion. It would be worth having a follow up on the video production side of the infrastructure and how those live feeds are ingested by Jio and then streamed out to the clients. How are some of the design choices made to support the real time requirements
Thanks for bringing up such raw and real engineering convo! More interesting than IPL
ye architecture ke baare me talk karna allowed hai kya?
"Will this survive Dhoni's spike?" - this is something every software engineer would love to discuss in an arch review! 😀
Didn't know Dhoni would have such an impact on their infra 😂
Excellent discussion. Very apt questions and deep routed knowledge answers.
by far the best one with so much problem statements and explained in a nice and proficient manner
I see the video caption is "... 20 million concurrent devices ...", however IRL I see some match view counter reads 2CR+ Do we have a wrong caption? They do talk about how that counter is driven by kafka and is eventually consistent read.
does she has her own youtube channel ? could you send link for same.
She is a prime example of beauty with brains. Carries so much in depth knowledge about everything. Be it about DNS, kafka, CDNs their ads service she explained it very well.
I agree with you, she is smart and presentable. Brain, she used is in stealing the limelight as always on behalf of team and ignoring them to make it personal achievement.
@@openai.deepaksingh As always? Do you know her personally?
@@mohitranka9840 yes I do.
Loved this discussion. Very Helpful ❤
Can you please add default caption in the conversation, it would be really helpful
Loved the term "Brace for impact" made me smile, kudos to such highly available architecture. Way Prachi explained things in detail hats off!! Thanks @arpit for bringing this podcast!! Loved it♥
Which technology uses for frontend and backend??????
It's actually higher than 20 Million. I was watching that time it was 218 Million and in some match it reached 500 Million Concurrent Viewer 😮
wow! In 45 minutes lot of things got to be understood, thanks for this session.
This is an amazing system design I watched full length.
Amazing
Everything is fine, But choosing React native for mobile is the worst decision they took. The laggy interface is very below par.
Exponential Retries, Really good point
Thanks Prachi for letting us know the engineering behind the massive level of scaled system…
Also realized that one can learn system design faster by analyzing how big companies do it like TH-cam, Jio cinema, discord, Instagram.
As a non cricket enthusiast i love about this video related to IPL.
Amazing content!! Can you make a video on how to calculate no of servers required with given rps and latency? How do hardware limitations change the calculation? How sync and async calls affect the numbers?
What is the cloud provider using JioCinema?
Please prepare a slide deck on JioCinema cloud services architecture if possible.
Thank you
Akamai CDN
Was hoping to know how streaming works ..do they have their own architecture or used cloud providers architecture
Amazing Podcast, Such Brilliant minds working in harmony no less than magic!!
Keep going Arpit. This is the kind of content that we don't even hesitate to pay to watch.
KiHi, it was a nice conversation with perfect blend of tech terms. Thank you Arpit Bhayani and Prachi Singh.
Is there a deep dive on a full HLD of such a service? (IPL streaming)
I saw the hotstar one but that was not a deep dive too, just scratched the surface.
On jio cinema its number of views altogether, not concurrent views as it was in hot star. This is how people are fooled.
In one match it was showing 48Cr. I'm damn sure ipl has no that many audience
Jio shows total view count instead of concurrent view. That doesn't change the number of people watching simultaneously. Despite being the fact that the total view count is shown, the number of people watching a IPL match simultaneously always will be in millions and millions.
Very great podcast...Please make a part 2 on the ADs part talked about at the end
Amazing session Arpit, it was a dream to know such system from a person who knows so ins and out of it. Thanks for being curious Engineer 😊
Hello guys .. second video I'm watching on this type of topic .. not getting much.. I'm from mechanical bg and started working in development recently.. got bit interested in system design guide me how can I do better what should I do read, watch anything will be helpful Thank you 🙋
Btw the match (yesterday) between RCB and CSK had 50 crore concurrent viewer.
That's 500 million concurrent viewer. Some crazy engineering work at Jio Cinema! Kudos to them 🚀
Are jio pe total viewers dikhate hai jinhone match ka thora sa bhi part dekha. Vo ek sath 5 crore nhi hoga
@@chetankumar9463 it say na ki X total viewers? Should be concurrent but does seem a little weird considering that's half India population
@@rohitlakhotia3357 bhai hotstar vale concurrent dikhate the. Hotstar pe maine dekha tha maine about 1.5 crore highest. Jio vale dikhate hai ki kitne logo ne stream suru hone se leke abtak us match vale tab ko open kya.
Muskil se dhoni vale match me 1 crore jata hoga.
Which language they r using for backend Rust or Go ?
How about building such a platform?
I wonder which language they use on backend
Thanks Arpit , this is gold tier!! Pls do more such videos.
Hotstar did this way back when it was not cool.
really a great conversation between u guys ,learned a lot and still there are many things i dont know,but sounded interesting to me.
amazing to get to know how the "pros" make it happen and why do they get paid big bucks
This reminds me of my days in Myntra during EORS and BFF I know scale is very less but such events requires lot of planning and enthusiasm
Amazing video Arpit
Always been a big fan of your videos
Thanks Arpit for bringing such content. looking forward for such podcasts with seniors engineers.
loved this podcast very much. The standards and tricks mentioned are very nice