InfoQ Homepage Microservices Content on InfoQ
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Uber Builds Scalable Chat Using Microservices with GraphQL Subscriptions and Kafka
Uber replaced a legacy architecture built using the WAMP protocol with a new solution that takes advantage of GraphQL subscriptions. The main drivers for creating a new architecture were challenges around reliability, scalability, observability/debugibility, as well as technical debt impeding the team’s ability to maintain the existing solution.
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Booking.com Doubles Delivery Performance Using DORA Metrics and Micro Frontends
The team in Booking.com’s fintech business unit implemented a series of improvements across the backend and the frontend of its platform and was able to double the delivery performance, as measured by DORA metrics. Additionally, the Micro Frontends (MFE) pattern was used to break up the monolithic FE application into multiple decomposed apps that could be deployed separately.
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Google Announces Multi-Modal Gemini 1.5 with Million Token Context Length
One week after announcing Gemini 1.0 Ultra, Google announced additional details about its next generation model, Gemini 1.5. The new iteration comes with an expansion of its context window and the adoption of a "Mixture of Experts" (MoE) architecture, promising to make the AI both faster and more efficient. The new model also includes expanded multimodal capabilities.
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DoorDash Uses CockroachDB to Create Config Management Platform for Microservices
DoorDash created a configuration management platform to help its logistics team maintain the growing number of business preferences and configuration values. The company used CockroachDB for persistence and simplified the architecture compared with the previous solution. The new platform enables experimentation, improves configuration value lifecycle, and provides flexibility and extendibility.
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Uber Improves Resiliency of Microservices with Adaptive Load Shedding
Uber created a new load-shedding library for its microservice platform, serving over 130 million customers and handling aggregated peaks of millions of requests per second (RPSs). The company replaced the solution based on QALM with Cinnamon library, which, in addition to graceful degradation, can dynamically and continuously adjust the capacity of the service and the amount of load shedding.
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lastminute.com Improves Search Scalability Using Microservices with RabbitMQ and Redis
The team at lastminute.com rearchitected the search result aggregation process by breaking up the single service into multiple ones and introducing asynchronous integration. Developers used RabbitMQ for messaging and Redis for storing results from data suppliers. The revised architecture improved scalability and deployability and reduced resource utilization.
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Why LinkedIn chose gRPC+Protobuf over REST+JSON: Q&A with Karthik Ramgopal and Min Chen
LinkedIn announced that it would be moving to gRPC with Protocol Buffers for the inter-service communication in its microservices platform, where previously an open-source Rest.li framework was used with JSON as a primary serialization format. InfoQ contacted Karthik Ramgopal and Min Chen to learn more about the decision and company motivations behind it.
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How DoorDash Rearchitected its Cache to Improve Scalability and Performance
DoorDash rearchitected the heterogeneous caching system they were using across all of their microservices and created a common, multi-layered cache providing a generic mechanism and solving a number of issues coming from the adoption of a fragmented cache.
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Contentsquare Uses Microservices and Apache Kafka for Notification Delivery
Contentsquare needed notification functionality for many use cases within its platform. The company created a generic solution spanning multiple services as part of its microservice architecture. During the implementation, the developers had to improve observability and overcome some scalability challenges.
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Uber Migrates 4000+ Microservices to a New Multi-Cloud Platform Running Kubernetes and Mesos
Uber moved most of its containerized microservices from µDeploy to a new multi-cloud platform named Up in preparation for migrating a considerable portion of its compute footprint to the cloud. The company spent two years working on making its many microservices portable so that they can be migrated between different compute infrastructure and container management platforms.
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Distributed Materialized Views: How Airbnb’s Riverbed Processes 2.4 Billion Daily Events
Airbnb created Riverbed, a Lambda-like data framework for producing and managing distributed materialized views. The framework supports over 50 read-heavy use cases where data is sourced from multiple data sources within the company’s service-oriented architecture (SOA) platform. It uses Apache Kafka and Apache Spark for online and offline components, respectively.
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Nomura Leverages HashiCorp Consul for Microservices Discovery on AWS EC2
With the help of AWS and HashiCorp consultants, Nomura created a solution for service discovery for complex microservices environments. The solution leverages HashiCorp Consul and is based on a hierarchical, rule-based algorithm. It supports discovery by service name, DNS latency, and custom tags.
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Implementation of Zero-Configuration Service Mesh at Netflix
In a recent blog post, Netflix described why they engaged the Envoy community and Kinvolk to implement a new feature for Envoy, the open-source proxy developed by Lyft. This new feature called On-Demand Cluster Discovery helped Netflix to implement a zero-configuration service mesh.
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Reddit Adopts Server-Driven UI for Its New Feed Architecture across Mobile Apps
Reddit reworked its feeds functionality in the iOS mobile app and introduced it to the Android app. In both cases, they used the Server-Driven UI (SDUI) as their communication approach, which allows localized content layout changes without mobile app releases.
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Delivery Hero Implements Event-Driven Architecture to Handle Baemin Growth
Baemin, a South Korean food delivery service owned by Delivery Hero, successfully navigated the challenges of rapid customer member growth by moving from a monolithic architecture to a more flexible event-driven microservices-based system.