InfoQ Homepage Scalability Content on InfoQ
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Lessons from DAZN: Scaling Your Project with Micro-Frontends
Luca Mezzalira explains how to implement micro-frontends, enabling to scale up a project with tens of developers without reducing the throughput.
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Taming Large State: Lessons from Building Stream Processing
Sonali Sharma and Shriya Arora describe how Netflix solved a complex join of two high-volume event streams using Flink.
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Beyond the Distributed Monolith: Rearchitecting the Big Data Platform
Blanca Garcia Gil talks about how BBC re-architected a distributed monolith, shares the lessons learnt from operating it for nearly 3 years, and how they designed their new microservices architecture.
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Streaming a Million Likes/Second: Real-Time Interactions on Live Video
Akhilesh Gupta talks about how Linkedin uses the Play/Akka Framework and a scalable distributed system to enable live interactions at massive scale at extremely low costs across multiple data centers.
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From Spark to Elasticsearch and Back - Learning Large-Scale Models for Content Recommendation
Sonya Liberman shares an algorithmic architecture that enables running complex models under difficult scale constraints and shortens the cycle between research and production.
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"This Website is Not Secured," You Had One Job: Configuring the Edge Proxy!
Damien Duportal defines what an edge router, a reverse proxy and a load-balancer are, then discusses Traefik and how they made Traefik distributed, scalable and fault tolerant.
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High Resolution Performance Telemetry at Scale
Brian Martin explores the issues of resolution in performance monitoring, covers sources of performance telemetry, and talks about some tricks for getting high resolution telemetry without high costs.
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Data Modernization for Spring-Based Microservices on Pivotal Platform
Jitin Changulani and Vivek Jindgar show how individual Spring Cloud components of a data injection process can be scaled independently, as compared to the scaling of the entire stack.
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Scaled Agile Framework (SAFe): Bloated Bureaucracy or an Enabler for Business Agility?
Almudena Rodriguez Pardo takes a closer look at various scaling methods, and defines what SAFe is and what it is not, examining some of the key arguments which are polarizing the Agile community.
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Architectures That Scale Deep - Regaining Control in Deep Systems
Ben Sigelman talks about "Deep Systems" and their common properties: they are layered, distributed, concurrent, multi-tenant, change continuously, and are hard to manage with conventional tools.
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Secrets at Planet-Scale: Engineering the Internal Google KMS
Anvita Pandit covers the design choices and strategies that Google chose in order to build a highly reliable, highly scalable service.
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How Gitlab Scaled Git Access with Go and What We Gained from It
Oswaldo Ferreira discusses the history of how GitLab switched from a Rails monolith to using Feature flags, Protocol Buffers, gRPC and Go.
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