InfoQ Homepage Scalability Content on InfoQ
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Software Engineering – Then, Now, and Next
Mary Poppendieck discusses how software engineering has been changed by the scale and speed required of digital companies in the past, now, and in the future.
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Building and Scaling a Control Plane for 1000s of Kafka Clusters
Gwen Shapira and Vivek Sharma discuss some architectural highlights of building, evolving and scaling a control plane for thousands of Kafka clusters, and some challenges encountered.
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The World Is on Fire and so Is Your Website
Ann Lewis discusses how MoveOn architects and scales an ecosystem of custom tools that power political organizing work like rapid response mobilizations, vote programs, and data-driven campaigns.
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Scaling & Optimizing the Training of Predictive Models
Nicholas Mitchell presents the core building blocks of an entire toolchain able to deal with challenges of large amounts of data in an industrial scalable system.
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From Monolith to Microservices
Sha Ma discusses how GitHub migrates from a monolith architecture to microservices, detailing some best practices.
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It’s Not Your Machine, It’s Your Code
Adekunle Adepoju discusses how limitations in the Linux kernel can lead to unneeded horizontal scale, and how to circumvent those and other limitations.
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Scaling N26 Technology through Hypergrowth
Folger Fonseca shares his experience during the time of hypergrowth at N26, a mobile-first bank which was recently listed as the number one startup in Germany.
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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.