A New Collection of Thoughtful Learning Apps — Now Available on iOS & Android

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I’m excited to share a set of mobile apps I’ve recently completed and published on both the Google Play Store and the Apple App Store. These apps are designed with a simple goal in mind: to make meaningful, structured content more accessible, whether you’re studying theology or improving your English vocabulary. 📱 Now Available on Both Platforms All apps are live and available for download: Google Play Developer Page: https://play.google.com/store/apps/dev?id=5835943159853189043 Apple App Store Developer Page: https://apps.apple.com/ca/developer/q-z-l-corp/id1888794100 📖 Theology & Confession Study Apps For those interested in Reformed theology and classical Christian teachings, I’ve developed a series of apps that present foundational texts in a clean, focused reading format: The Belgic Confession Canons of Dort Heidelberg Catechism Westminster Shorter Catechism Each app is designed to provide a distraction-free experience, making it easier to read, reflect, and revisit these im...
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Recommend GC log analyzer tool : GCPlot & GCeasy

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GCPlot

GCPlot

Install

Docker Installation
You can run GCPlot in a Docker container.

In order to run GCPlot as-is without additional configuration, run next command:

docker run -d -p 8080:80 gcplot/gcplot

After that eventually the platform will be accessible from your host machine at http://127.0.0.1:8080 address.
GCPlot

Upload GC log

JVM arguments

-verbose:gc -XX:+PrintGCDetails -XX:+PrintGCTimeStamps -XX:+PrintGCDateStamps -XX:+PrintTenuringDistribution -XX:+PrintGCCause -XX:+PrintHeapAtGC -XX:+PrintAdaptiveSizePolicy -XX:+UnlockDiagnosticVMOptions -XX:+G1SummarizeRSetStats -XX:G1SummarizeRSetStatsPeriod=1 -Xloggc:/var/output/logs/garbagecollector.log -XX:+UseG1GC

Analysis Groups

GC Analysis

Universal GC Log Analyzer

https://gceasy.io/
It is more powerful than GCPlot, but you have to upload you GC logs to their backend and pay to see the analysis report.

GCPlot is free and open source

Fork from github
https://it.gcplot.com/

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