InfoQ Homepage Performance Content on InfoQ
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DIY Monitoring: Build Your Own JVM Performance Management Tool
Tal Weiss shows how you can easily write your own JVM agent to capture accurate performance data for virtually any type of application from Java microservices to reactive actor systems in Scala.
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Data Driven Action: A Primer on Data Science
S Aerni, S Ramanujam and J Vawdrey present approaches and open source tools for wrangling and modeling massive datasets, scaling Java applications for NLP on MPP through PL/Java and much more.
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Create Elegant Builds at Scale with Gradle
Hans Dockter discusses how to solve the challenges of standardization, dependency management, multi-language builds, and automatic build infrastructure provisioning.
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Go GC: Prioritizing Low Latency and Simplicity
Rick Hudson discusses the motivation, performance, and technical challenges of Go's low latency concurrent GC and why the approach fits Go well.
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LinkedIn's Active/Active Evolution
Erran Berger discusses how they scaled architecture at LinkedIn across multiple data centers.
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Don't Scale Agile. Descale Your Organization
Stuart Bargon discusses how to “descale” an organization, removing the extra weight and making it agile, showcasing the transformation of one of the oldest Australian public institutions.
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Stream Processing in Uber
Danny Yuan discusses how Uber uses stream processing to solve a wide range of problems, including real-time aggregation and prediction on geospatial time series, and much more.
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Spring Boot for DevOps
Nicolas Frankel demoes some of the many important Non-Functional Requirements out-of-the-box that come with Spring Boot: monitoring, metrics, exposing those over HTTP.
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Building and Tuning High Performance Java Platforms
Emad Benjamin covers various GC tuning techniques and how to best build platform engineered systems; in particular the focus is on tuning large scale JVM deployments.
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Orchestrating Containers with Terraform and Consul
Mitchell Hashimoto shows how Terraform and Consul can be used together to easily deploy and scale large-scale containerized workloads using container runtimes like Docker.
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Bringing javax.cache'ing to your Application
Chris Dennis and Alex Snaps discuss introducing caching into a Spring application to solve real world problems.
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Workers, Queues, and Cache
Jason McCreary takes a look at using background job processes, messaging queues, and cache to help an application scale.
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