Meals and grocery supply platform Swiggy handles billions of orders yearly throughout roughly 700 cities. Managing such a scale requires real-time coordination between eating places, supply companions, and prospects. That is the place information streaming platform Confluent steps in, supporting Swiggy’s large information move for seamless order processing.
Because the unique information streaming companion, Confluent has been supporting Swiggy for over three years now.
At its core, Confluent’s platform is constructed on Apache Kafka, facilitating real-time information streaming. Notably, Confluent was based in 2014 by Jay Kreps, Neha Narkhede, and Jun Rao, the unique creators of Apache Kafka.
“If Confluent is down, Swiggy is down,” Rohit Vyas, nation presales chief of India at Confluent, advised AIM in an unique interplay. He emphasised the platform’s position in Swiggy’s infrastructure.
Scale and Demand Spikes
Information streaming platform Confluent has been within the area for over a decade, catering to greater than 5,000 enterprises.
“We’re the second quickest software program firm to succeed in a billion {dollars} in income,” mentioned Rubal Sahni, space vp and nation supervisor at Confluent, to AIM.
Catering to completely different domains, Confluent just lately partnered with Jio Platforms to combine its information streaming platform with JioCloud Companies. One other main buyer is Swiggy, the place real-time information processing is mission-critical.
Swiggy has processed over 3 billion orders, requiring a system that may scale dynamically. Initially, Swiggy relied on open-source Apache Kafka for its information streaming wants. Nevertheless, as order volumes surged, sustaining an in-house Kafka setup turned resource-intensive for Swiggy’s engineering groups.
This led to the transition to Confluent’s totally managed service, which gives real-time information streaming whereas decreasing operational overhead. This transfer not solely enabled Swiggy to streamline operations, and deal with order surges effectively, but additionally optimise useful resource allocation throughout high-demand intervals akin to festivals.
“So after they scaled up in a hyper scaling method and their buyer base started to bulge on, they realised that babysitting open supply Kafka was draining lots of their engineering expertise. Then they approached Confluent,” Vyas defined. “What we allow for them is a mess and a multi-dimensional side.”
Actual-Time Information Processing
Confluent performs a important position in enabling Swiggy to trace order progress in actual time, making certain transparency at each stage. By ingesting huge quantities of information and processing it inside milliseconds, the platform updates order statuses, estimated supply occasions, and driver areas with out delays. “If Confluent is down, apparently, Swiggy is down,” Vyas mentioned.
From the second a buyer locations an order, Confluent’s information streaming platform ensures that each step, from restaurant affirmation to assigning a supply companion, occurs seamlessly.
This whole advanced system of success is going on over Confluent, making real-time updates doable, Vyas defined. The platform dynamically maps supply companions, estimates preparation and packing occasions, and repeatedly syncs this data with Swiggy’s app.
Past scaling, making certain safety and governance is one other problem. Swiggy processes large volumes of buyer information, making compliance and safety a high precedence. Confluent gives built-in governance and monitoring instruments, serving to Swiggy preserve regulatory compliance whereas securing delicate data.
Past logistics, Swiggy utilises AI-driven analytics powered by real-time information streaming. Predictive algorithms assist optimise supply routes and stock administration. “Swiggy Instamart tracks high-demand objects in particular areas, making certain higher inventory availability in darkish shops,” Vyas additional mentioned.
The Future Forward
As Confluent continues to develop its presence in India, the corporate is specializing in scaling its business attain and strengthening partnerships. “We have now scaled our groups in India. We have now opened newer business verticals. We have now invested within the public sector,” Sahni mentioned. The current partnership with Jio Platforms goals to help public sector organisations with infrastructure for GenAI purposes.
Past public sector growth, Confluent can be growing its footprint throughout industries akin to healthcare, manufacturing, and tier-two markets. “We’re including extra sources to cater to newer business verticals, not simply metro cities but additionally down south and up north,” Sahni added. To additional strengthen its presence, Confluent is working intently with hyperscalers like AWS, Azure, and Google Cloud whereas increasing partnerships with enterprises in search of scalable information options.
The corporate will proceed to cater to markets of various sizes, from startups to large-scale enterprises. “We have now numerous choices relying on the dimensions of the shopper and nature of use instances,” Sahni mentioned.
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