InfoQ Homepage Performance Content on InfoQ
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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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Parsing JSON Really Quickly: Lessons Learned
Daniel Lemire talks about the lessons learned while writing the fast JSON parser, simdjson. One of the most important lessons is the importance of a nearly obsessive focus on performance.
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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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