InfoQ Homepage Performance Content on InfoQ
-
Avoiding React Performance Pitfalls
Alex Grigoryan discusses the performance problems found and their solutions moving from Backbone/Java to React/Node.js at @WalmartLabs.
/presentations/performance-react/en/mediumimage/Alexbig.JPG)
-
Scaling with Apache Spark
Holden Karau looks at Apache Spark from a performance/scaling point of view and what’s needed to handle large datasets.
/presentations/scale-apache-spark/en/mediumimage/Holbig.JPG)
-
An Introduction to Distributed Tracing and Zipkin
Adrian Cole overviews debugging latency problems using call graphs created by Zipkin and reviews the ecosystem, including tools to trace other languages and frameworks.
/presentations/distributed-tracing-zipkin/en/mediumimage/Adbig.JPG)
-
Java Performance Engineer's Survival Guide
Monica Beckwith provides a step-by-step approach to finding the root cause of any performance problem in a Java app, showcasing through an example a few performance tools and the performance process.
/presentations/java-performance-guide/en/mediumimage/Monbig.JPG)
-
Deep Learning for Image Understanding at Scale
Stacey Svetlichnaya discusses strategies and challenges building deep learning systems for object recognition at scale, using automatic labels in Flickr image search as a case study.
/presentations/deep-learning-image-scale/en/mediumimage/Stabig.JPG)
-
Monitoring Serverless Architectures
Rafal Gancarz provides an overview of monitoring capabilities required for serverless apps -metering, logging, tracing, auditing, alerting-, and helpful AWS services.u
/presentations/aws-monitor-serverless/en/mediumimage/Rafbig.JPG)
-
Do You Really Know Your Response Times?
Daniel Rolls talks about the use of histogram metrics to monitor response times, explains how reservoir sampling can help, and shares good and bad practices when monitoring response times.
/presentations/response-time-reservoir-sampling/en/mediumimage/Danbig.JPG)
-
Monitoring Bash Microservices at Scale
Paul Bellamy covers epic fails experienced moving to microservices using the RED method to monitor what matters, and production outages they solved with detailed telemetry.
/presentations/monitor-bash-microservices/en/mediumimage/Paulbig.JPG)
-
Scaling Your Swagger-Based Web API with Google Cloud Endpoints
Guillaume Laforge presents some of the options and technical solutions to build a scalable API solution using Google Cloud.
/presentations/web-api-scale-google-cloud/en/mediumimage/Guibig.JPG)
-
Moving Past the Scaling Myth
Michael Feathers examines the notion of scale variant structuring and what systems design could look like without the assumption that structural reorganization at different scales is not necessary.
/presentations/scalability-variant-structuring/en/mediumimage/Michaelbig.JPG)
-
Achieving High Load in Advertising Technology
Peter Milne talks about the technologies used and how they are implemented to deal with the high load demanded by digital marketing. He tells some of the war stories and how problems were solved.
/presentations/digital-high-load-ad/en/mediumimage/Petbig.JPG)
-
Scaling Instagram Infrastructure
Lisa Guo overviews Instagram's infrastructure, its history, multi-data center support, tuning uwsgi parameters for scaling, performance monitoring and diagnosis, and Django/Python upgrade.
/presentations/instagram-scale-infrastructure/en/mediumimage/Lisabig.JPG)