Wildfly VS git-sizer

• High Performance
  WildFly is designed to deliver exceptional performance, with fast startup times and efficient resource utilization, making it ideal for high-throughput applications.
• Modular Design
  WildFly uses a modular architecture based on Java modules, which allows for a highly customizable and flexible server environment. This modularity helps in better resource management and optimization.
• Java EE Compliance
  WildFly is fully compliant with the latest Java EE (Jakarta EE) specifications, ensuring that enterprise applications can leverage the full set of standardized features and APIs provided by the platform.
• Active Community and Support
  WildFly benefits from a large and active community, as well as strong support from Red Hat, which provides commercial support through its enterprise version, JBoss EAP. This ensures continuous improvement and timely updates.
• Flexible Configuration
  WildFly offers flexible configuration options through its management interfaces – CLI, web-based console, and REST APIs – allowing administrators to manage and configure the server efficiently.
• Lightweight
  WildFly is lightweight compared to other enterprise-level application servers, making it suitable for cloud-native deployments and microservices architecture.

Possible disadvantages

• Complexity
  The extensive features and configurations available in WildFly can make it complex and challenging for new users or those with limited experience in managing application servers.
• Documentation
  While WildFly has comprehensive documentation, some users find it less intuitive and difficult to navigate, especially when troubleshooting specific issues or advanced configuration.
• Memory Consumption
  Although WildFly is designed to be performant, it can be memory-intensive, particularly for large-scale applications with numerous modules and services.
• Frequent Updates
  WildFly undergoes frequent updates and changes, which can sometimes lead to compatibility issues or require additional effort to keep up with the latest versions and patches.
• Steep Learning Curve
  The advanced features and capabilities of WildFly come with a steep learning curve, necessitating a significant investment in time and effort to master the platform effectively.

• Comprehensive Repository Analysis
  git-sizer analyzes many different dimensions of a Git repository including commit count, tree size, blob size, history depth, and reference counts, providing a holistic view of repository health and potential scaling issues.
• Easy to Use
  The tool is simple to run with minimal setup—just execute it within a git repository—and it produces clear, human-readable output that highlights potential problem areas without requiring complex configuration.
• Identifies Performance Bottlenecks
  It helps identify specific issues that could degrade Git performance, such as excessively large blobs, deep history, large trees, or too many references, which is valuable before migrating or scaling repositories.
• Open Source and Maintained by GitHub
  Being an official GitHub project, it benefits from credibility, community trust, and ongoing maintenance, and it is well documented with clear explanations of what each metric means.
• Useful for Pre-Migration Checks
  It's particularly helpful for teams migrating repositories to new platforms or consolidating repos, as it flags potential issues that could cause problems during migration or with hosting providers' limits.

Possible disadvantages

• No Automatic Remediation
  git-sizer only identifies and reports issues but does not offer any built-in tools or automated processes to fix problems like large blobs or excessive history depth—users must use separate tools like BFG Repo-Cleaner or git-filter-repo.
• Output Can Be Overwhelming for Beginners
  While detailed, the output includes many metrics and threshold levels that may be confusing for users unfamiliar with Git internals, requiring some learning curve to fully interpret results.
• Limited to Local Analysis
  The tool analyzes a local clone of the repository, so it requires users to have a full local copy of the repo (or at least enough history) to get accurate results, which can be time-consuming for very large repositories.
• No Real-Time Monitoring
  It functions as a one-time analysis tool rather than providing continuous or real-time monitoring of repository health, requiring manual reruns to track changes over time.
• Command-Line Only Interface
  The tool lacks a graphical user interface, which may be less accessible for users who prefer visual dashboards or are less comfortable with command-line tools.

Wildfly 8 Launch Community Presentation

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• Top 10 Open Source Java and JavaEE Application Servers
  blog.idrsolutions.com · Apr 2015

  Wildfly also supports web services like JAX-WSJDBCLoad balancing, and includes a Management API, a OSGi frameworkRMI-IIOP and can be executed in two server modes: a traditional, single JVM, standalone mode, and a...

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• I am making an RPM package of Wildfly servlet 26.1.3, it keeps asking for ancient glibc

  User@opensuse:~/rpmbuild> cat SPECS/wildfly-26.1.3.spec %define _topdir /home/user/rpmbuild Name: wildfly-servlet Version: 26.1.3.Final Release: 4%{?dist} Summary: WildFly 26.1.3 Application Server License: Apache License, Version... Source: over 3 years ago

• how to keep github repos small?

  Also there’s a cool project from GitHub you can use to help understand the size of git’s objects in your git repo https://github.com/github/git-sizer. This might help you determine what the best cloning strategy could be. Source: almost 5 years ago