InfoQ Homepage application performance management Content on InfoQ
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Distributed Tracing in the Wild
Adrian Cole, Tommy Ludwig and Narayanan Arunachalam share the “Sites” project, which is an inventory of real-life setups people use today with distributed tracing to increase developer productivity.
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Metrics for the Win: Using Micrometer to Understand Application Behavior
Erin Schnabel explores the capabilities of Micrometer, including examples of meter types and integration with different collectors like Prometheus or StatsD.
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Controlled Chaos: Taming Organic, Federated Growth of Microservices
Tobias Kunze focuses on the challenges that result from organic, federated growth and the patterns that can be applied to monitor and control these dynamic systems.
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Observability in the Development Process: Not Just for Ops Anymore
Christine Yen explores what observability looks like in practice, so that production stops being just where the development code runs into issues.
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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.