InfoQ Homepage application performance management Content on InfoQ
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How to Use Open Source Prometheus to Monitor Applications at Scale
In this article, the author discusses how to collect metrics and achieve anomaly detection from streaming data using Prometheus, Apache Kafka and Apache Cassandra technologies.
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How We Reduced Our React App’s Load Time by 60%
React handles UI updates efficiently but it does not magically make your web app faster. As our application grew in size, we started noticing some drawbacks of our setup. Although we knew how React worked and how Redux manages state, our application had bloated in size. We started seeing application crashes and jank. It was time to drive down the technical debt and make performance improvements!
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Sustainable Operations in Complex Systems with Production Excellence
Successful long-term approaches to production ownership and DevOps require cultural change in the form of production excellence. Teams are more sustainable if they have well-defined measurements of reliability, the capability to debug new problems, a culture that fosters spreading knowledge, and a proactive approach to mitigating risk.
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/articles/monitor-workflow-collaborating-microservices/en/smallimage/secure-scalable-web-ecosystem-linkedin-s-1551190398162.jpeg)
Monitoring and Managing Workflows across Collaborating Microservices
This article argues that you need to balance orchestration and choreography in a microservices architecture in order to be able to understand, manage and change the system.
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/articles/devops-cloud-trends-2019/en/smallimage/devops-cloud-trends-2019-s-1550778123254.jpeg)
DevOps and Cloud InfoQ Trends Report - February 2019
An overview of how the “cloud computing” and DevOps space is evolving in 2019 including updates on Kubernetes, Chaos Engineering, Service meshes and more.
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Observability-Driven Development for Tackling the Great Unknown
How does observability-driven development differ from monitoring? As our distributed systems become increasingly more complicated and as our silos break down for DevOps testing, automation, and efficiency, ODD arises as a superset of monitoring to understand your code’s unknown unknowns. Includes insights from Honeycomb Founder Charity Majors.
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Book Review: Optimizing Java
InfoQ reviewed the book Optimizing Java, a comprehensive in-depth look at performance tuning in the Java programming language written by Java industry experts, Ben Evans, James Gough and Chris Newland. InfoQ spoke to the authors for more insights on their experiences, learnings and obstacles in authoring this book.
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/articles/spark-application-monitoring-influxdb-grafana/en/smallimage/spark-application-monitoring-influxdb-grafana-s-1542381806762.jpeg)
Spark Application Performance Monitoring Using Uber JVM Profiler, InfluxDB and Grafana
In this article, author Amit Baghel discusses how to monitor the performance of Apache Spark based applications using technologies like Uber JVM Profiler, InfluxDB database and Grafana data visualization tool.
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/articles/microservices-post-kubernetes/en/smallimage/microservices-post-kubernetes-era-logo-small-1535547491671.jpg)
Microservices in a Post-Kubernetes Era
How are microservices standing in the Kubernetes era? The microservice architecture is still the most popular architectural style for distributed systems. But Kubernetes and the cloud-native movement have redefined certain aspects of application design and development at scale.
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/articles/istio-future-service-mesh/en/smallimage/Istio-Future-of-Service-Meshes-1529065924373.jpeg)
Istio and the Future of Service Meshes
A service mesh provides a transparent and language-independent way to flexibly and easily automate networking, security, and observation functions. This article examines the past, present and future of the Istio service mesh. The near-term goal is to launch Istio to 1.0, when the key features will all be in beta, including support for Hybrid environments.
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Practical Monitoring: Book Review and Q&A with Mike Julian
Mike Julian has recently published Practical Monitoring with O’Reilly, which aims to provide readers with a foundational introduction to the topic of monitoring, as well as practical guidelines on how to monitor service-based applications and cloud infrastrastructure. InfoQ recently sat down with Julian and discussed the topic of monitoring.
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Under The Hood with the JVM's Automatic Resource Management
The deprecation of Object::finalize is an unusual step for the Java ecosystem. We dive deep into the Hotspot JVM to see how it works. We also compare it to RAII and the Java 7, try-with-resources syntax. The article contrasts these very different approaches to automatic resource management, and explains why TWR should be used in place of finalization by application programmers.