How CleverTap Handles Millions of Users during IPL for Dream11, MPL, Jio & more | SCALER POD 16

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In this episode of Scaler Pod, we have Hardik Shah, VP, Engineering, CleverTap and Darshan Pania, Associate Director, SDK Engineering, CleverTap. They delve into the fascinating world of handling millions of users and take us behind the scenes of managing scale during events like the IPL (Indian Premier League), catering to leading platforms such as Dream11, MPL, Jio, and many more by delivering real-time omnichannel experiences.

Darshan and Hardik explore the core aspects of CleverTap's capabilities, focusing on their proprietary database, TesseractDB™. They explain how TesseractDB™ plays a pivotal role in efficiently managing vast amounts of data, enabling CleverTap to deliver personalized and contextual user experiences in real-time across multiple channels.

They explore the significance of hyper-personalization, behavioural analytics, and AI-driven automation in enhancing user engagement and maximizing ROI. Also, discussing the challenges faced and the cutting-edge solutions deployed to ensure seamless user experiences during high-traffic events like the IPL.

Darshan deep dive into the SDK, discussing how it acts as the bridge between CleverTap's platform and mobile applications, enabling the collection of valuable user data and facilitating real-time interactions.

They discuss the architecture and technologies employed to handle millions of concurrent users, ensuring high availability, low latency, and efficient data processing. Hardik touches upon topics from load balancing to horizontal scalability, providing insights about the backend systems that make real-time omnichannel experiences possible.

ScalerPod by Scaler is a one-of-a-kind podcast for engineers and tech enthusiasts. Our host Arnav Gupta talks to the leaders of the biggest tech companies from India and around the globe about the software engineering challenges they are solving and the products they are building for scale!

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Timestamps:

00:00 Trailer
01:32 Introduction
02:02 Day in their Life
3:45 How Darshan got into CleverTap and SDK Engineering
7:45 Hardik's Tech Journey
9:52 CleverTap's Processing Bandwidth and IPL Season
11:30 Handling Millions of Users during IPL and Challenges
16:11 Preparing and Testing for Massive Scale
20:05 Managing Realtime Data at CleverTap
24:25 User Profile Customizations, Omnichannel Experience and Retention
27:10 Storing Data at Scale, Analysis and CleverTap's Optimisations
31:42 Bridging between SDK and Backend
36:10 Handling Delay and Processing Realtime Data
37:11 Insuring Data Uptimes during events like IPL
39:25 Building their own Proprietary Database - TesseractDB™
44:25 Migrations and Downtimes
47:55 SDK Migrations, Updates and Challenges
49:49 Android X and Scheduling for Scale
55:42 Hiring at CleverTap and Onboarding Journey
1:02:56 Workflows for SDK Development
1:04:27 CleverTap's Plans around AI and ChatGPT
1:05:17 Outro

Get in Touch with our Guests:

Hardik Shah (VP- Engineering)

Darshan Pania (Associate Director - SDK Engineering)

#CleverTap #ipl2023 #ScalerPod #Scaler #dream11 #dream11ipl #jio #podcast #iplanalysis #mpl #dataanalytics #realtimedata #datamanagement #managingscale
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Also, check out the earlier episodes of SCALER POD:

SCALER
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Used to work at Clevertap as an intern Circa 2022. By far i would say they have the most extensive internal documentation that would help any new incomer upto speed. People are friendly always ready for an instant "hud" to solve problems. I was lucky to have a great manager. Mr.Kunal, and my team of senior & junior engineers & the QA guys. By far the most productive engineering environment ive been in dealing with some real complex cases. and the food <3 as well as all of the office staff. Absolutely had a great time with these guys. Heavy recommend for aspiring engineers trying to have a direct impact in the consumer analytics & marketing space. Thank you clevertap <3.

imsry
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Great Content... The interviewer asked some really interesting questions and scenarios like event batches and offline events.

yashdeephinge
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On this gem only 5k views, sad to see, tech guys needs to see these podcast.

rajuraman
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Worth every second. Btw did i hear ARM boxes from Intel at 42:31?

AdeshAtole
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How come yt never recommended these to me? Are there any pc in specific to microservices?

mxmax
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Best part of Scaler is their podcasts 🥹💯

HKClasher
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