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iFood Taps Confluent to Revolutionize Its Real-Time Data Flows and Support Their Growth in a Secure and Cost-Efficient Manner
Tracking the number of orders per second using ksqlDB is very crucial to us, so we can monitor the use and health of the platform in real time.
Challenge
Inability to scale real-time operations alongside business growth due to heavy operational overhead and lack of internal AWS MSK expertise; this resulted in failure to flag production issues in a timely and cost-effective manner.
Solution
Confluent Cloud provides a truly cloud-native and complete data streaming platform for event-driven microservices and streaming pipeline to a data lake on AWS to monitor the number of orders and track deliveries on iFood’s platform in real time.
Results
- Instantly and cost-effectively scale real-time data availability with growing business needs
- Improved developer velocity and productivity by reallocating engineering resources to more strategic projects
- Lower TCO to seamlessly run mission-critical use cases at scale securely and reliably
By leveraging Confluent’s fully managed data streaming platform, iFood built streaming data pipelines, which addressed the challenge of sending and processing real-time data prior to sending it to the data lake.
Facing lots of issues with managing Kafka, iFood’s teams opted for Confluent Cloud, which provided significant ops burden reduction from its serverless offering and complete feature set, including security and Stream Governance.
Today, Confluent tracks and monitors all the phases that a piece of data goes through within iFood’s system, improving the team’s control and diagnostic capacity in relation to real-time data flows.
더 많은 고객 사례
10x Banking은 Confluent를 활용하여 기존 은행들이 Data in Motion의 강력한 기능으로 레거시 아키텍처를 현대화할 수 있도록 지원합니다.
iFood, 실시간 데이터 흐름을 혁신하고 안전하고 비용 효율적인 방식으로 성장을 지원하기 위해 Confluent 선택
MPL Enhances Trust and Security of the Platform with Real-Time Data Streaming from Confluent