InfoQ Homepage application performance management Content on InfoQ
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The Fundamental Truth behind Successful Development Practices: Software is Synthetic
Software systems are creative compounds, emergent and generative; the product of complex interactions between people and technology. They are different from the orderly, analytic worlds that our school-age selves expect to find. Being so full of complexity and uncertainty, we use a different way to arrive at a solution.
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Q&A with Tyler Treat on Microservice Observability
Tyler Treat attempts to disambiguate the concepts of Observability and Monitoring. He discusses how the complexity of elastic systems produces more unknowns that require a discovery-based approach. InfoQ recently sat down with Treat to discuss the topics of observability and monitoring, and he shares some challenges and best practices when introducing observability concepts.
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Lessons Learned in Performance Testing
Performance testing is a hard discipline to get right and many things can go wrong. The key is to pay attention to the details, understand the behavior, and avoid just producing fancy numbers. This article describes a few common problems seen frequently with performance testing and shares tips on how to make your performance testing routine better.
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/articles/understanding-serverless-servicefull-applications/en/smallimage/understanding-serverless-servicefull-applications-s-1562155540179.jpeg)
Understanding Serverless: Tips and Resources for Building Servicefull Applications
There are still many misconceptions and concerns regarding serverless solutions. Vendor lock-in, tooling, cost management, cold starts, monitoring and the development lifecycle are all hot topics where serverless technologies are concerned. This article shares tips and resources to guide serverless newcomers towards building powerful, flexible and cost-effective serverless applications.
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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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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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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.