InfoQ Homepage Performance Content on InfoQ
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Scaling Erlang Cluster to 10,000 Nodes
Maxim Fedorov demonstrates an example of a live Erlang cluster being scaled from just a few nodes to 10,000 machines with no service interruption.
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Instrumentation, Observability & Monitoring of Machine Learning Models
Josh Wills discusses the monitoring and visibility needs of machine learning models in order to bridge gaps between ML practitioners and DevOps.
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Expect the Unexpected: How to Deal with Errors in Large Web Applications
Mats Bryntse demonstrates how to implement error monitoring in a web app and also shows how to reproduce errors without having to ask the user for a step-by-step description.
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Graal: Not Just a New JIT for the JVM
Duncan MacGregor takes a look at the differences between C2 and Graal, what this can mean for the performance of a code, and what else is possible with this new JIT.
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What Is Our Product?
Ellen Gottesdiener and Andrew Repton discuss the importance of a shared agreement on what the product is, sharing techniques on scaling Lean/Agile product development in a large organization.
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FreshEBT
Ram Mehta talks about Fresh EBT - a mobile app used by over a million households each month to manage their Supplemental Nutrition Assistance Program benefits - scaling the app nationwide.
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YugaByte DB - A Planet-Scale Database for Low Latency Transactional Apps
Amey Banarse and Karthik Ranganathan introduce and demo YugaByte DB, a large scale DB, highlighting distributed transactions with global consistency.
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Airbnb’s Great Migration: Building Services at Scale
Jessica Tai recaps her QCon SF 2018 “Great Migration” presentation then continues the story with a focus on how Airbnb is building, operating, and scaling its expanding network of services.
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Applying Concurrency Cookbook Recipes to SPEC JBB
Monica Beckwith talks about how she followed the recipes appearing in Doug Lea's cookbook and applied them to SPEC JBB, and reports her findings.
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Spinnaker and the Distributed Monorepo
Jon Schneider presents a continuous delivery platform with application monitoring, automated canary analysis, and organization-wide code search showing how to identify and repair applications.
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Performance: What's Next?
A lot of the techniques and approaches that are used for developing and improving software performance are tried and tested rather than innovative. But what does the future hold? Will software evolve?
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High Performance Batch Processing
Mahmoud Ben Hassine and Michael Minella walk through performance tuning and scaling Spring Batch applications via the enhancements of 4.1.
