How JioCinema live streams IPL to 20 million concurrent devices w/ Prachi Sharma | Ep 7

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[@ravikatiyar6530]

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]

Always have a plan b,c,d... in case something went wrong.

[@zafraan3038]

any auto scaling almost never works for any kind of sale type event.

[@nagkumar]

@@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.

[@rakshitjayaswal3224]

not 20 million, it is 200 million

[@ddhingra1991]

During the fire, disable resources for P2 & P1 for the p0 remain up

[@mmmnmmmmmmmm]

The only IPL thing I'm interested in

[@youdontknowme2508]

The real IPL

[@adityadubey5204]

Haven't watched a single match this year 😅

[@propavangameryt405]

Me 2

[@vatsalyavigyaverma5494]

Same here, I guess they use lamda function with kubernetes

[@rriiii]

GOAT

[@factfry1191]

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)

[@debdanroy2396]

The way Prachi broke down and explained the intricacies of scaling and load handling for high-traffic applications like JIO Cinema is truly commendable.

[@sleep-404]

The engineering behind the amazing stuff we get to experience in life is nothing less than magic! Thanks for making these podcasts happen Arpit

[@jotrades26]

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.

[@prakashranjan5148]

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.

[@aviiiiiiiiiiiiiiiiiiii]

+1

[@pankajmishra5139]

😂😂😂 +999999

[@amitrawat5847]

🤣🤣🤣🤣🤣

[@sanrock21]

boss 5 crore or 10 crore people use the app or more.. during match, how much do you think IRCTC on Tatkal time?

[@FakeIntellect]

+1

[@jayvasant114]

Feels like review version of OG old Hotstar scaling to 25 million talk by Gaurav Kamboj Thanks for bringing this for us Arpit!

[@abdulashiq2173]

Prachi is an ex-Hotstar engineer 😅

[@RwikKumarDutta]

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

[@bestviralvideosclips]

@@RwikKumarDutta Most of the devs in JioCinema are from Hotstar...

[@arjunk856]

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.

[@diwakarisonyoutube]

Thanks Arpit for bringing such content. I look for these podcasts with seniors engineers. Cheers 🎉

[@aimusicvibes]

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,

[@hrishiksancheti110]

thankss

[@praneetrane2993]

Thanks mate

[@naruto5437]

crazy how at very young age she is a director of engineering of company like jio/viacom and she is from normal college

[@ancient.sanatani]

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?

[@yashsolanki069]

She had prior experience with such engineering design in hotstar. So here is the niche that takes priority over the age factor.

[@Avishwarup]

⁠@@ancient.sanataniirrespective of that, she was superb. Incredible communication and she must be a very valued person ! 👏🏼👏🏼

[@mach-7260]

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 :)

[@arjunnayak9088]

Great to see someone really know what they are talking about.

[@pranavtiwari9948]

Thank you to both of you. Lots of health and happiness to you and your family. It was just awesome.

[@casinarro]

Thank you Prachi! You have a very sound knowledge and a great way of explaining all of it in simple words.

[@soumiyamuthuraj3516]

Kudos to you, Arpith, seriously no fluff, pure engineering ❤

[@coderkashif]

Amazing podcast....the engineering behind all this is mind blowing

[@AbhishekKumar-xr1ss]

"ISP" : That guess by Arpit at 38:18 gave me goosebumps 🫡

[@justlc7]

Thanks Arpit , this is gold tier!! Pls do more such videos.

[@rishushrivastav4591]

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.

[@prashanthvaidya5220]

Watched this during my weekend run! What an amazing conversation- the passion that you both have for engineering is so inspiring. 🙏🏻

[@user-pq6xi2bb9o]

Amazing video Arpit! Thanks.

[@sidharthvyas7870]

Learnt alot, thnx Arpit & Prachi.

[@TourYatri]

Thanks Arpit . Such a informative video i found first time. Keep bringing this type of content

[@Codetutor-DemystifyCoding]

Brilliant discussion - "Dhoni ke side effects on Content streaming architecture" would have been perfect title. Thanks for bringing this.

[@anuragsengupta2880]

Don’t make everything about that middle aged credit hungry manipulator.

[@sauravjha2933]

Great podcast, Arpit and Prachi! Thank you so much.

[@RS-vu5um]

Excellent Discussion. Lot to learn.

[@peeyushdmishra]

This is awesome discussion, thank you Arpit.

[@mzubair10]

Prachi explained it really well, great questions

[@girijamohanty8445]

loved this podcast very much. The standards and tricks mentioned are very nice

[@kallyansingha3772]

Amazing discussion ! love it

[@utkarshnagpure3034]

Amazing Podcast, Such Brilliant minds working in harmony no less than magic!!

[@aavishkarmahajan6114]

Amazing podcast. It was great to get an idea of how things go on behind the scenes. Thank you Arpit for such insightful podcasts

[@heyhelloitsme]

Excellent discussion. Very apt questions and deep routed knowledge answers.

[@user-fi1vj7dl6p]

by far the best one with so much problem statements and explained in a nice and proficient manner

[@MohitSharma-bz1ft]

Very informative podcast. Thanks for bringing it up. Kudos to you guys

[@raj_kundalia]

Thank you for doing this!

[@tarunkumar-pf9bn]

This is great. Thank you bringing this up.

[@aakashparmar560]

Great podcast ! Learned so many new things today.

[@hrs4real386]

Really valuable for those who do not know how much work it takes to run the streaming platform.🔥

[@ItiShruti]

Really enjoyed this episode ..

[@justMRV]

Real time Problems and Solutions they come up with... These are really useful podcasts. Thanks to her.

[@abhiimali]

interesting.... thanks to both of you.

[@XP20213]

Thanks Prachi for letting us know the engineering behind the massive level of scaled system…

[@ayushtiwari4686]

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

[@kritibindra4232]

Loved this! Some interesting stories were shared. Keep them coming Arpit☺️

[@prabinkumarbaniya]

Its so interesting to watch these amazing engineering working at such a high scale

[@rajsrisg]

Wonderful video Arpit. Prachi was amazing in her explanations. Great asset to JioCinema.

[@suryadev99]

Great podcast, Arpit and Prachi! Loved it

[@sridharaddagatla]

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.

[@Shivani-hello]

Awesome, having worked in Jio as a backend engineer, I really enjoyed watching this!

[@user-zw1pd8rm6e]

Hey what was the questions asked for fresher role ?

[@kumardeepam]

Very insightful man. Thank you for sharing 🙏

[@ankurchaudhary9507]

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♥

[@dhurontor]

Lot of good insights from the podcast. Thanks Prachi & Arpit. :)

[@vishadjain2696]

Thanks arpit, for the amazing insights.

[@rohanzade4972]

wow! In 45 minutes lot of things got to be understood, thanks for this session.

[@yashgarg4248]

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 😊

[@highnitin]

Loved the insights :) good one ❤

[@SowrenSen]

Very useful insights, great podcast. 👍

[@rajesh_singha7]

Thanks a lot for sharing insights with us.

[@priyaaditi4147]

Loved this podcast. Please bring more like this.

[@dhruvthakkar2103]

Great Podcast! Learnt a lot in this

[@vaibhavsharma224]

really a great conversation between u guys ,learned a lot and still there are many things i dont know,but sounded interesting to me.

[@nageshtemp]

glad to hear that chaos engineering is being used by large infrastructures to ensure resiliency of the systems

[@hashimabbas2508]

Excellent work, Arpit. This is gold tier content.

[@priyaranjankumar_]

Amazing details

[@pranjalsoni1819]

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❤

[@prabaljain5462]

Thanks Arpit, Excellent Session Curiosity++

[@vibhavaribellutagi9738]

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 🎉

[@kyllex1901]

Thanks for the amazing content! Learnt a lot!

[@guytonedhai]

Thank you Arpit for bringing in such content.

[@Namesake..]

This was an amazing interview. Thank you for this 🎉

[@HemantSharma-fw2gx]

Thank you for this one!..please bring gaurav kamboj as well

[@itxmepankaj8158]

it is so much to learn from these podcasts

[@prashanthgurunath1703]

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 :)

[@AllenThomasVarghese]

How do they dynamically switch between CDNs? Is it through hosting a service behind an AnycastIP?

[@GoProIndia]

As always, amazing podcast Arpit!

[@abhilashm3278]

Really liked how Arpit instantly isolated the issue and asked if it with the ISP.

[@AllenThomasVarghese]

Curious to know if they host their own DNS servers and use a tiered system of resolving DNS addresses

[@visheshdubey6204]

Thanks for bringing up such raw and real engineering convo! More interesting than IPL

[@jagrukstudents8588]

Very great podcast...Please make a part 2 on the ADs part talked about at the end

[@madhavdhungana]

Really enjoyed watching this episode

[@user-rm2kf4ks8b]

Was hoping to know how streaming works ..do they have their own architecture or used cloud providers architecture

[@ankitdubey9310]

The best thing I have watched this month

[@pavanMudavath822]

great work MAN!

[@ajithprakashan8019]

Great conversation ❤

[@priyabratapradhan000]

Very nice conversation❤

[@SahilBhosale08]

Thanks for this amazing podcast , this is the best content and best insights

[@10suryakiran]

KiHi, it was a nice conversation with perfect blend of tech terms. Thank you Arpit Bhayani and Prachi Singh.

[@HusainSyedAli]

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.

[@komalkungwani4625]

Great content 🎉 nice learnings

[@shreyachandak5169]

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!

[@xikusyaa]

Why i wasn't aware of this channel before, amazing content!

[@kushteppalwar1678]

Great content please keep on making such videos

[@oyehooye]

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 👍🏻

[@ashishtiwari5483]

such a informative video😳

[@rajeshdevhelp]

great Thanks Arpit. Would love to see more videos like this. It will be great if can get series of videos like this.

[@vinaydanidhariya]

Awesome content keep posting 👍❤

[@sathvikvutukuri9179]

Reg feature flags , which is the best wau to store? In db or config service. If i have it in db then i can change it immediately.if its in config do i need redeployment every time i change the flag.