InfoQ Homepage Performance Content on InfoQ
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/articles/debugging-production-ebpf-chaos/en/smallimage/debugging-production-eBPF-chaos-small-1686746361099.jpg)
Debugging Production: eBPF Chaos
This article shares insights into learning eBPF as a new cloud-native technology which aims to improve Observability and Security workflows. You’ll learn how chaos engineering can help, and get an insight into eBPF based observability and security use cases. Breaking them in a professional way also inspires new ideas for chaos engineering itself.
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Learning eBPF for Better Observability
This article shares insights into learning eBPF as a new cloud-native technology which aims to improve Observability and Security workflows. Learn how to practice using the tools, and dive into your own development. Iterate on your knowledge step-by-step, and follow-up with more advanced use cases later.
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/articles/open-source-java-profilers/en/smallimage/unleash-power-of-open-source-java-profilers-small-1681206807197.jpg)
Unleash the Power of Open Source Java Profilers: Comparing VisualVM, JMC, and async-profiler
This article conveys the foundational concepts and different types of Open Source Java profilers. It allows you to choose the best-suited profiler for your needs and comprehend how these tools work in principle. The aim of a profiler is to obtain information on the program execution so that a developer can see how much time a method executed in a given period.
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Improving CI/CD Pipelines through Observability
CI/CD pipelines are a vital addition to any workflow, but they can be further improved by the selective addition of observability. This article covers what data to monitor, which metrics to track, and how to best visualize the collected data.
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/articles/incident-metrics-void/en/smallimage/past-simple-incident-metrics-courtney-nash-VOID-small-1676021060277.jpg)
Moving Past Simple Incident Metrics: Courtney Nash on the VOID
The Verica Open Incident Database (VOID) is assembling publically available software-related incident reports. InfoQ talks with Courtney Nash about their recent findings including how MTT* metrics may not be beneficial, the average time to incident resolution, and the importance of studying near-miss reports.
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Lambda Throttling - How to Avoid It?
This article aims to explain best practices if you have throttled your application and services and suggestions for how to handle these cases. We performed an in-house experiment at Jit (a SaaS-based DevSecOps platform) built on serverless to learn how our application behaves.
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Design Pattern Proposal for Autoscaling Stateful Systems
In this article, Rogerio Robetti discusses the challenges in auto-scaling stateful storage systems and proposes an opinionated design solution to automatically scale up (vertical) and scale out (horizontal) from a single node up to several nodes in a cluster with minimum configuration and interference of the operator.
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/articles/application-resiliency-chaos-testing/en/smallimage/improved-application-resiliency-by-uncovering-hidden-issues-using-chaos-testing-small-1671197599013.jpg)
How We Improved Application’s Resiliency by Uncovering Our Hidden Issues Using Chaos Testing
This article lists the chaos testing principles which are outlined by Netflix. The readers should be able to understand the advantages and disadvantages that chaos testing offers. This will help them to decide whether they want to perform it or not. The article also explains why we should convince the management to perform chaos tests, considering all benefits over the risks.
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/articles/build-deploy-scalable-golang-api/en/smallimage/logo-1667248748960.jpg)
Build, Test, and Deploy Scalable REST APIs in Go
In this article, we'll look at how to use the gin framework to create a simple Go application. We will also learn how to use CircleCI, a continuous deployment tool, to automate testing and deployment.
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/articles/monitor-digital-experience-feature-effectiveness/en/smallimage/monitoring-digital-experience-to-determine-feature-effectiveness-small-1666951981148.jpg)
Are They Really Using It? Monitoring Digital Experience to Determine Feature Effectiveness
This article reflects on the challenges of determining user experience and effectiveness and how modern techniques such as Real User Monitoring and Application Performance Monitoring can determine the true effectiveness of features. It includes stories from banking to show which measures can help agile teams determine not only if features are being used, but diagnose other common issues too.
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/articles/observability-gitops/en/smallimage/why-observability-is-the-key-to-unlocking-GitOps-small-1666948778310.jpg)
Why Observability Is the Key to Unlocking GitOps
In a GitOps work process, Git is the single source of truth for the system’s intended state. Observability can provide the missing piece: the single source of truth for the system’s actual state.
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/articles/high-fidelity-data-streams/en/smallimage/building-and-operating-high-fidelity-data-streams-small-logo-1664284454024.jpg)
Building & Operating High-Fidelity Data Streams
At QCon Plus 2021 last November, Sid Anand, chief architect at Datazoom and PMC Member at Apache Airflow, presented on building high-fidelity nearline data streams as a service within a lean team. In this talk, Anand provides a master class on building high-fidelity data streams from the ground up.