How Uber Uses Redis

Uber’s Rate Limiting System details the evolution of Uber's approach to managing service overload through a unified rate-limiting architecture.

This article details Uber's multi-year evolution from static, quota-based rate limiting to an intelligent, priority-aware load management system for their distributed databases (Docstore and Schema...

Uber Engineering details their migration from a legacy monolithic monitoring system to a modern, cloud-native observability platform for their corporate network infrastructure.

Ceilometer is Uber's adaptive benchmarking framework designed to enhance the performance and reliability of their infrastructure by automating benchmarking processes and providing actionable insigh...

This article discusses how Uber's CacheFront serves over 150 million reads per second while ensuring stronger consistency guarantees.

The article discusses Uber's implementation of encryption at rest and disk isolation at scale using their Stateful Platform, Odin.

The article discusses how Uber processes early chargeback signals to mitigate payment fraud and enhance customer trust.

The article discusses Uber's transition to a multi-architecture environment by adopting Arm-based hosts at scale.

The article discusses Preon, a microservice developed by Uber for intelligent and efficient query analysis using the Presto SQL engine.

This article discusses Uber's migration of its Apache Hadoop-based data lake to Google Cloud Storage (GCS) and the security measures implemented during this transition.

The article discusses how Uber serves over 40 million reads per second from its online storage using an integrated caching solution called CacheFront.

The article discusses Uber's journey in enhancing its Palette Meta Store, focusing on the challenges faced, the solutions implemented, and the resulting improvements in machine learning feature man...

The article discusses the implementation of a Unified Session for analytical events at Uber, aimed at enhancing data consistency and analytics across various applications.

This article discusses Uber's experience migrating a large-scale invoice generation service from a legacy system to a new service called Invoicer.

The article discusses Uber's transition from a Server-Sent Events (SSE) architecture to a gRPC-based push platform, detailing the motivations, implementation challenges, and outcomes of this migrat...

Uber's article discusses the implementation of a highly scalable and distributed Remote Shuffle Service (RSS) designed to enhance the efficiency of data processing in Apache Spark.

The article discusses how Uber integrates Presto® and Apache Kafka® to enhance its big data analytics capabilities.

The article discusses strategies to avoid CPU throttling in a containerized environment, particularly at Uber, where stateful workloads run on a large fleet of hosts.

The article discusses how Uber's Global Scaled Solutions team transitioned from a traditional analytics architecture to a real-time analytics system using Redis, AWS Fargate, and the Dash framework.

The article discusses the challenges and solutions in building scalable streaming pipelines for generating near real-time features at Uber.

The article discusses Uber's comprehensive re-architecture of its Fulfillment Platform, aimed at enhancing its Go/Get strategy.

The article discusses how Uber analyzes customer issues to enhance user experience by leveraging support data to improve support processes, optimize product experience, and address operational chal...

The article discusses Uber's Customer Support Automation Platform, focusing on the development and implementation of the Policy Engine (PE) to enhance customer service efficiency.

The article discusses the challenges posed by flaky unit tests in Java, particularly in the context of Continuous Integration (CI) systems.

Uber's Real-Time Push Platform focuses on enhancing user experiences by transitioning from polling to a gRPC-based bi-directional streaming protocol.

The article discusses Fiber, a distributed computing library developed by Uber that simplifies large-scale computation for AI and machine learning applications.

The article discusses Uber's implementation of multi-tenancy within its microservice architecture, highlighting its benefits for stability, modularity, and developer velocity.

The article discusses how Uber integrated GraphQL into its Customer Care Platform to enhance data hydration, streamline developer workflows, and improve error handling.

The article discusses the challenges and strategies Uber engineers faced while migrating payment functionality in a live production environment without downtime.

The article discusses how Uber manages its data workflows at scale, detailing the evolution from multiple overlapping data workflow systems to a centralized management system called Piper.

The article introduces Makisu, Uber's open-source Docker image builder designed for Apache Mesos and Kubernetes.

The article discusses Peloton, Uber's unified resource scheduler designed to manage diverse cluster workloads efficiently.

The article discusses Maze, Uber's funnel visualization platform, which enhances the understanding of user interactions during the driver sign-up process.

The article discusses Grail, a platform developed by Uber to manage and aggregate infrastructure data at scale.

The article discusses the evolution of distributed tracing at Uber Engineering, detailing the transition from monolithic applications to microservices and the challenges faced in maintaining system...

Cherami is a distributed, scalable, durable, and highly available message queue system developed by Uber Engineering to transport asynchronous tasks.

The article delves into Uber's engineering tech stack, focusing on the components that interact with riders and drivers.

The article provides an in-depth look at Uber's engineering tech stack, focusing on the foundational elements that support its complex systems.

This article discusses the design and implementation of Schemaless, Uber Engineering's scalable datastore built on MySQL.

The article details the author's experience as an engineering intern on the Supply Engine Team at Uber, focusing on backend development for driver partner onboarding processes.