InfoQ Homepage Performance Content on InfoQ
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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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Building Reactive Pipelines: How to Go from Scalable Apps to (Ridiculously) Scalable Systems
Mark Heckler discusses and demoes reactive and highly scalable microservices built with Project Reactor using RabbitMQ, Apache Kafka, and Spring Cloud Stream.
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Boost Your Team’s Productivity with a Powerful Visual Management!
Artur Margonari discusses tips and tricks around visual management, new concepts and examples to have a powerful visual management and boost a team’s productivity.
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Building a High-Performance Networking Protocol for Microservices
Robert Roeser and Arsalan Farooq talk about how techniques used in Fintech and Adtech can be used to improve performance in distributed applications.
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Bayesian Optimization of Gaussian Processes with Applications to Performance Tuning
Ramki Ramakrishna discusses using Bayesian optimization of Gaussian processes to optimize the performance of a microservices architecture.
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The Trouble with Memory
Kirk Pepperdine takes a look at the telltale signs that a JVM based application is in the 60% memory inefficiency area, and demonstrates the steps one can take to attack this problem.
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Building and Running Applications at Scale in Zalando
Pamela Canchanya shares practices and lessons learned when building and running critical business applications at scale.
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Building Resilient Serverless Systems
John Chapin explains how to use serverless technologies and an infrastructure-as-code approach to architect, build, and operate large-scale systems that are resilient to vendor failures.
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Conquering Microservices Complexity @Uber with Distributed Tracing
Yuri Shkuro talks about how Uber is using distributed tracing to make sense of a large number of microservices and the interaction among them.
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Multi-Tenancy in Kubernetes
Katharina Probst discusses both the mechanics and the implications of cluster sharing on cost, isolation, and operational efficiency, including use cases, even challenging ones.
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Variety: The Secret of Scale
Cat Swetel provides an approach for incurring variety where it makes sense within the coherence of a longer-term vision.
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