InfoQ Homepage Performance Content on InfoQ
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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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Atlassian Hybrid Cloud/On-Premise Software Delivery and the Journey to 300,000 Applications in the Cloud
George Barnett discusses techniques for building the supporting infrastructure for a hybrid model, and how to make monitoring, deployment tools, and shared services work effectively.
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Tuning Java for Big Data
Scott Seighman discusses causes of common performance issues in Big Data environments, heap size, garbage collection, JVM reuse tuning guidelines and Big Data performance analysis tools.
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Scaling Stack Overflow: Keeping it Vertical by Obsessing Over Performance
David Fullerton shares some of the things the Stack Exchange tech team have learned along the way while scaling one of the top sites in the world primarily through vertical scaling.
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A Pragmatic Introduction to Multicore Synchronization
Samy Bahra discusses high performance multicore synchronization, scalability bottlenecks in multicore systems and memory models, and scalable locking and lock-less synchronization.
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Ground-up Introduction to In-memory Data
Viktor Gamov covers In-Memory technology, distributed data topologies, making in-memory reliable, scalable and durable, when to use NoSQL, and techniques for Big In-Memory Data.
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Elements of Scale
Ben Stopford examines tools, mechanisms and tradeoffs that allow a data architecture to scale, from disk formats to fully blown architectures for real-time storage, streaming and batch processing.
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