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.
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.
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.
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.
10x Banking leverages Confluent to help traditional banks modernize their legacy architectures with the power of data in motion.
iFood escolhe a Confluent para revolucionar seus fluxos de dados em tempo real e respaldar seu crescimento de forma segura, com excelente relação custo-benefício
MPL Enhances Trust and Security of the Platform with Real-Time Data Streaming from Confluent