InfoQ Homepage application performance management Content on InfoQ
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True Observability Needs High-Cardinality
Pierre Vincent discusses how high-cardinality observability helps the exploration and debugging power required to understand the reality of a production system.
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Solving Mysteries Faster with Observability
Elizabeth Carretto discusses observability at Netflix and where and how their internal tool, Edgar, comes into play.
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InfoQ Live Roundtable: Observability Patterns for Distributed Systems
The panelists explore how a sound observability strategy can help mitigate operational costs and avoid common pitfalls in monitoring distributed systems.
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Monitoring All the Things: Keeping Track of a Mixed Estate
Luke Blaney talks about how to approach monitoring an estate of many technologies and what the Financial Times did to improve visibility across systems built by all its teams.
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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.