Data Management with Microservices and iFood's Experience
summary
An overview of iFood’s experience managing data in a microservices architecture as the platform scales to over 4 million orders per month. Covers challenges like zero-downtime deployments and handling data exchange and duplication across services, with emphasis on operational practices and PostgreSQL expertise used by iFood’s database team.
AI-written summary · about
chapters (8)
- 0:00Introduction
- 7:59iFood growth and challenges
- 13:16Microservices migration
- 17:25Standard architecture and tech
- 22:02Scalability and databases
- 27:19Data modeling challenges
- 31:49Innovations and next steps
- 32:52Q&A
related talks
38mConnecting 60k+ Restaurants: iFood's Architectural Saga
44mA Software Engineer's Journey Through Microservices Data Sharing
31mWhat lies beyond microservice architecture? From Microservices to Distributed Platform Architecture
25mFrom Millions of Customers to Petabytes of Data: A Journey to Microservices
39mMicroservices & Kubernetes in a High-demand Environment: The Experience
51mData management in a Microservices world
27mScaling Production data across Microservices
34mMicro services for a Billion people
