InfoQ Homepage application performance management Content on InfoQ
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Jupyter Notebooks: Interactive Visualization Approaches
Chakri Cherukuri talks about how to understand and visualize machine learning models using interactive widgets and introduces the widget libraries.
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Yes, I Test in Production (And So Do You)
Charity Majors talks about testing in production and the tools and principles of canarying software and gaining confidence in a build, also instrumentation and observability .
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Radical Realizations with Tracing & Metric Visualizations
David Crawford, Sean Keery share insights about combining tracing data & metrics with animated traffic dashboards to convey a more comprehensive understanding of the variables in play.
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Monitoring AI with AI
Iskandar Sitdikov discusses a solution, tooling and architecture that allows an ML engineer to be involved in delivery phase and take ownership over deployment and monitoring of ML pipelines.
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Expect the Unexpected: How to Handle Errors Gracefully
Bastian Hoffman discusses monitoring and logging errors, showing how to handle them, covering deployment strategies with circuit breakers, and reducing functionality to minimize impact.
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Deep Learning for Application Performance Optimization
Zoran Sevarac presents his experience and best practice for autonomous, continuous application performance tuning using deep learning.
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Chaos Engineering: Building Immunity in Production Systems
Nikhil Barthwal discusses Chaos Engineering, its purpose, how to go about it, metrics to collect, the purpose of monitoring and logging, etc.
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Canopy: Scalable Distributed Tracing & Analysis @ Facebook
Haozhe Gao and Joe O’Neill present Canopy, Facebook’s performance and efficiency tracing infrastructure. They talk about the lessons learned and present case studies of its use.
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Observability to Better Serverless Apps
Erica Windisch dives into how serverless development with observability tooling can help bridge the gap between operations and business intelligence to learn better and iterate faster.
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Chick-Fil-A: Milking the Most out of 1000's of K8s Clusters
Brian Chambers and Caleb Hurd share how Chick-fil-A manages connections and deployments using two to-be-announced open source projects, and lessons learned from running Kubernetes at the Edge.
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Observable JS Apps
Emily Nakashima talks about an event-driven approach to client-side observability for the most complicated parts of Honeycomb's customer-facing React app: the query builder.
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Java at Speed
Gil Tene talks about getting the most of Java applications and understanding some of the optimizations the latest crop of JVMs are able to apply when running on the latest servers.