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Enterprise Observability eXperiments (ObX)

Welcome to the ObX collaborative experimental workspace. Our mission is to provide ready to use observability examples through:

  • Custom Data (Metrics, Events, Logs and Traces -MELT) harvesting & data-pipelines with OTel
  • Advanced Data Harvesting Techniques with eBPF

💡 Platform Layer Observability: For platform-level insights, please refer to the OpenShift Observability Documentation

Projects

1. Python Instrumentation

Python Focus: Jupyter Notebook-based AI Application Stack Observability

  • Detailed metrics and insights
  • Seamless integration with data science workflows

2. Java Instrumentation

Java Focus: Enterprise Java Application Monitoring

  • Minimal code overhead
  • OpenTelemetry framework integration
  • Optimized for OpenShift deployments

3. C++ Instrumentation

C++ Focus: High-Performance Application Monitoring

  • Native OpenTelemetry integration
  • Low-overhead metrics collection
  • UBI 8 based OpenShift deployment

4. eBPF BlackBox Harvesting

eBPF Status: Work in Progress

  • Advanced system-level observability
  • Kernel-level insights and telemetry

Team

Interested in cutting-edge observability and data engineering? Connect with our team!

Role Name LinkedIn Location
Founder Fatih E. NAR LinkedIn Profile Texas, USA
Product Management Jamie Parker LinkedIn Profile Texas, USA
Maintainers Positions Open - -

Published Works

Title Link Authors
5G with OpenTelemetry Read Article Fatih E. Nar, Paul Lancaster, Sean Cohen et al.
eBPF Inside-Out Read Article Dave Tucker, Arkady Kanevsky, Fatih E. NAR et al.
Observability 101 Read Article Sean Cohen, Fatih E. NAR, Dave Tucker, Shujaur Mufti et al.

Contributions Welcome! 🤝 Feel free to open issues, submit pull requests, or reach out for collaboration opportunities.

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