InfoQ Homepage Microservices Content on InfoQ
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Stripe Rearchitects Its Observability Platform with Managed Prometheus and Grafana on AWS
Stripe replaced its observability platform, which used a third-party vendor solution, with a new architecture utilizing managed services on AWS. The company made the move due to scalability limits, reliability issues, and increasing costs while transitioning to microservices. The migration involved dual-writing metrics, translating assets, validation, and user training.
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Agoda’s Unconventional Client-First Transition from a GraphQL Monolith to Microservices
Agoda recently described their innovative approach to transitioning from a monolithic GraphQL API to a microservices architecture. Unlike traditional methods focusing on breaking down server-side components first, Agoda adopted a client-first strategy, preparing their client applications to handle both the monolith and the microservices in parallel using an in-house smart orchestrator library.
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Netflix Rolls Out Service-Level Prioritized Load Shedding to Improve Resiliency
Netflix extended its prioritized load-shedding implementation to the individual service level to further improve system resilience. The approach uses cloud capacity more efficiently by shedding low-priority requests only when necessary instead of maintaining separate clusters for failure isolation.
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Apache Tomcat 11.0 Delivers Support for Virtual Threads and Jakarta EE 11
Apache Tomcat 11 represents a pivotal advancement in web server technology, supporting Jakarta EE 11 and featuring virtual threads for efficient concurrency via Project Loom. Enhanced WebSocket performance, improved asynchronous processing, and robust security measures make it ideal for modern applications. Transitioning requires namespace adjustments, but offers tools for a seamless migration.
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Planning, Automation and Monorepo: How Monzo Does Code Migrations Across 2800 Microservices
Monzo products are supported by an extensive microservice-based platform of over 2800 services. The company relies on planning and heavy automation to drive code migrations at scale and leverages config service to support gradual roll forwards and quick rollbacks in case of issues. Migrations are managed by a central team rather than service owner teams to avoid delays and inconsistencies.
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Netflix’s Pushy: Evolution of Scalable WebSocket Platform That Handles 100Ms Concurrent Connections
Netflix shared details on the evolution of Pushy, a WebSocket messaging platform that supports push notifications and inter-device communication across many different devices for the company’s products. Netflix’s engineers implemented many improvements across the Pushy ecosystem to ensure the platform's scalability and reliability and support new capabilities.
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Production Comes First - an Outside-In Approach to Building Microservices by Martin Thwaites
Martin Thwaites, an observability evangelist, developer, and developer advocate at honeycomb.io, presented on Production Comes First - an Outside-In Approach to Building Microservices. The session was part of the "Connecting Systems: APIs, Protocols, Observability" track.
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QCon London: Scaling Microservices Architecture and Technology Organization at Trainline
During the recent QCon London conference, Trainline’s CTO spoke about the evolution of the company’s system architecture and organizational structure over the last five years. The company had to adapt to market changes and growing customer expectations by improving the performance and reliability of its technology platform.
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Java News Roundup: Jakarta Data and Jakarta NoSQL Milestones, Class-File API Targeted for JDK 23
This week's Java roundup for March 25th, 2024, features news highlighting: JEP 466, Class-File API (Second Preview), targeted for JDK 23; milestone releases of Jakarta Data and Jakarta NoSQL specifications; the second release candidate for JobRunr 7.0.0; and point releases for Spring projects, Quarkus, Helidon and LangChain4j.
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Decathlon Adopts Backend for Frontend (BFF) Pattern to Empower FE Teams
Decathlon established the Backend For Frontend (BFF) architectural pattern as a company-wide recommendation and provided guidelines for its adoption among engineering teams. The four-part series introduces the pattern and explores its benefits and potential pitfalls. The company also shares available alternatives to using the BFF pattern and reviews architectural considerations.
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Java News Roundup: New JEP Drafts, Infinispan 15, Payara Platform, Alpaquita Containers with CRaC
This week's Java roundup for March 11th, 2024, features news highlighting: new JEP drafts, Stream Gatherers (Second Preview) and Hot Code Heap; Infinispan 15; the March 2024 edition of Payara Platform; Alpaquita Containers with CRaC; the first release candidate of JobRunr 7.0; and milestone and point releases for Spring projects, Quarkus, Helidon and Micronaut.
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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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Java News Roundup: JDK 22 RC2, Multiple Releases in the Spring Ecosystem, Payara Platform
This week's Java roundup for February 19th, 2024, features news highlighting: JDK 22 in release candidate 2, the February 2024 edition of the Payara Platform, numerous milestone and point releases in the Spring ecosystem, multiple releases of Apache Tomcat and Log4j and Gradle 8.7-RC1.
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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.