
Contributed to the AvihuHenya/odigos repository by building cross-cloud testing capabilities and enhancing observability infrastructure. Delivered features such as Amazon EKS integration using Terraform and AWS, modernized CI/CD workflows with Docker and GitHub Actions, and introduced a rule-engine based sampling processor in Go for trace selection. Upgraded the OpenTelemetry Python library and implemented service-name and attribute-based trace sampling to improve signal quality. Addressed stability by refining Kubernetes networking and resolving a gateway crash related to metadata handling. The work demonstrated depth in distributed systems, backend development, and dependency management, resulting in improved reliability, release velocity, and targeted debugging for cloud-native environments.
Monthly work summary for 2025-08 focusing on stability work for AvihuHenya/odigos, with a gateway crash fix by removing an problematic k8s.cronjob.uid metadata key in the k8sAttributes Action controller.
Monthly work summary for 2025-08 focusing on stability work for AvihuHenya/odigos, with a gateway crash fix by removing an problematic k8s.cronjob.uid metadata key in the k8sAttributes Action controller.
April 2025 monthly summary for AvihuHenya/odigos: Delivered significant improvements to observability and tracing through two main initiatives: (1) OpenTelemetry Python library upgrade, and (2) new trace sampling actions. Upgraded odigos-opentelemetry-python from 1.0.34 to 1.0.36 via consecutive commits to incorporate latest fixes/features, improving compatibility and stability. Introduced ServiceNameSampler and SpanAttributeSampler to sampling processor, enabling service-name and attribute-based trace sampling for better signal-to-noise ratio. These changes reduce telemetry noise, improve trace representativeness, and enable more targeted debugging, delivering business value in performance visibility, reliability, and cost efficiency.
April 2025 monthly summary for AvihuHenya/odigos: Delivered significant improvements to observability and tracing through two main initiatives: (1) OpenTelemetry Python library upgrade, and (2) new trace sampling actions. Upgraded odigos-opentelemetry-python from 1.0.34 to 1.0.36 via consecutive commits to incorporate latest fixes/features, improving compatibility and stability. Introduced ServiceNameSampler and SpanAttributeSampler to sampling processor, enabling service-name and attribute-based trace sampling for better signal-to-noise ratio. These changes reduce telemetry noise, improve trace representativeness, and enable more targeted debugging, delivering business value in performance visibility, reliability, and cost efficiency.
March 2025 performance summary for AvihuHenya/odigos. Delivered cross-cloud testing capabilities with AWS EKS, stabilized high-load deployments through leader election tuning and chaos testing, modernized CI/CD workflows with chaos test integration and improved reporting, and introduced a rule-engine based sampling processor with comprehensive testing. A critical networking bug was fixed by reverting curl pod testing and refining EKS networking (VPC endpoints and security groups). These efforts enhanced cross-cloud coverage, reliability, and release velocity while strengthening observability and testing practices.
March 2025 performance summary for AvihuHenya/odigos. Delivered cross-cloud testing capabilities with AWS EKS, stabilized high-load deployments through leader election tuning and chaos testing, modernized CI/CD workflows with chaos test integration and improved reporting, and introduced a rule-engine based sampling processor with comprehensive testing. A critical networking bug was fixed by reverting curl pod testing and refining EKS networking (VPC endpoints and security groups). These efforts enhanced cross-cloud coverage, reliability, and release velocity while strengthening observability and testing practices.

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