InfoQ Homepage Performance Content on InfoQ
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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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/articles/design-proposal-autoscaling-stateful-systems/en/smallimage/logo-1674489368378.jpg)
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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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.
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Moldable Development: Guiding Technical Decisions without Reading Code
Developers spend most of their time reading code. Moldable Development challenges reading as a means to gather information from the system, by creating custom tools that show the problem in a way that makes it comfortable to understand. The solution typically follows quickly afterward. Glamorous Toolkit is a moldable development environment designed to decrease the cost of custom tools.
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/articles/performance-testing/en/smallimage/logo-1657874085693.jpg)
Gatling vs JMeter - What to Use for Performance Testing
A performance tool with a graphical interface will probably be easier to use at the beginning, but the idea of a performance test as code is the future. Tests are readable and much easier to maintain. Many people are skeptical about Gatling because it requires learning a new programming language - Scala. However, Java is supported with the release of Gatling 3.7.
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The Compounding (Business) Value of Composable Ecosystems
Being “free” and open source doesn’t hinder the value of these projects to businesses and end users; rather it unlocks it. The composability of open source ecosystems allows the innovation and value of the whole ecosystem to compound on itself.
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Analyzing Incident Data across Organizations: Courtney Nash on the VOID
The Verica Open Incident Database (VOID) is assembling publically available software-related incident reports. InfoQ talks with Courtney Nash on 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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/articles/scalable-SRE-standardization-feedback/en/smallimage/logo-1656064079585.jpg)
Establishing a Scalable SRE Infrastructure Using Standardization and Short Feedback Loops
This article explores an SRE implementation where the operations team builds and runs the SRE infrastructure and the development teams build and run the services leveraging the SRE infrastructure. This SRE solution enables the software delivery organization to scale the number of services in operation without linearly scaling the number of people required to operate the services.