InfoQ Homepage Scalability Content on InfoQ
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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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Beyond Microservices: Streams, State and Scalability
Gwen Shapira talks about how microservices evolved in the last few years, based on experience gained while working with companies using Apache Kafka to update their application architecture.
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Concurrency, Scalability and Transactions -- Myths and Surprises
Renan Ranelli explores the interaction between massive concurrent servers, databases and transaction isolation.
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Scaling Patterns for Netflix's Edge
Justin Ryan talks about Netflix’ scalability issues and some of the ways they addressed it.
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Using Metrics to Ensure Quality Applications in Pivotal Platform
Tom Martin and Sam Reed show how to set up automatic service discovery with Eureka, some auto scaling problems of microservices, and how to configure Prometheus and Grafana to gather and show metrics.
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