InfoQ Homepage application performance management Content on InfoQ
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Performance Monitoring Back-End and Front-End Using Micrometer
Clint Checketts reviews the basics of recording metrics with Micrometer.as well as gives an intro to the Prometheus and Grafana backends and dashboarding.
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Real-Time Performance Analysis of Data-Processing Pipelines with Spring Cloud Data Flow, Micrometer
Christian Tzolov and Sabby Anandan demonstrate how to consistently produce structured metrics to Prometheus, and how to visualize them with dashboards such as Grafana.
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Continuous Monitoring with JDK Flight Recorder (JFR)
Mikael Vidstedt gives an overview of JDK Flight Recorder (JFR), showcases the current feature, as well as some features coming in the future.
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Architectures That Scale Deep - Regaining Control in Deep Systems
Ben Sigelman talks about "Deep Systems" and their common properties: they are layered, distributed, concurrent, multi-tenant, change continuously, and are hard to manage with conventional tools.
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Using Metrics to Ensure Quality Applications in Pivotal Platform
Tom Martin and Sam Reed show how to set up automatic service discovery with Eureka, some auto scaling problems of microservices, and how to configure Prometheus and Grafana to gather and show metrics.
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Boost Your Team’s Productivity with a Powerful Visual Management!
Artur Margonari discusses tips and tricks around visual management, new concepts and examples to have a powerful visual management and boost a team’s productivity.
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The Trouble with Memory
Kirk Pepperdine takes a look at the telltale signs that a JVM based application is in the 60% memory inefficiency area, and demonstrates the steps one can take to attack this problem.
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Conquering Microservices Complexity @Uber with Distributed Tracing
Yuri Shkuro talks about how Uber is using distributed tracing to make sense of a large number of microservices and the interaction among them.
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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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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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