Omer Aplatony
SIG-Autoscaling Tech Lead at Kubernetes (Official)
Ramat Gan, Tel-Aviv District, Israel
Summary
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Rockstar🎓
Top SchoolOmer Aplatony is a Solutions Architect with 6 years of hands-on DevOps and backend experience, now at AWS after roles at Perion, SAP and Yahoo. He specializes in cloud-native infrastructure across AWS, GCP and DigitalOcean, using Terraform/Terragrunt, ArgoCD and CI/CD pipelines to deliver reliable Kubernetes deployments. An active open-source contributor, he’s worked on high-profile projects like KEDA and the Kubernetes autoscaler, focusing on autoscaling, VPA/HPA tooling and robust refactors that improve logging and runtime behavior. Omer combines systems-level troubleshooting with pragmatic automation—he even built approval/reviewer tooling around Kubernetes VPA/HPA concepts—bringing both code-level improvements and operational readiness to production platforms.
6 years of coding experience
4 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Bar-Ilan University
Stackoverflow
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Github Skills (28)
autoscaling10
kubernetes10
docker10
testing10
command-line-interface10
kubectl10
go-testing10
dockers10
cicd10
gcp10
event-driven10
go10
aws10
kubernetes-pods10
command-line10
Programming languages (13)
Github contributions (5)
kubernetes/autoscaler
Aug 2024 - Jun 2026
Autoscaling components for Kubernetes
Role in this project:
Backend Developer
Backend DeveloperContributions:497 reviews, 73 PRs, 933 comments in 1 year 10 months
Contributions summary:Omer primarily refactored logging statements across multiple files within the `kubernetes/autoscaler` repository, specifically targeting components related to the Vertical Pod Autoscaler (VPA). These changes updated logging calls to use structured logging methods in Go. Additionally, the user made changes to resource handling and scaling, as well as implemented checkpoint and namespace cleanup logic.
autoscalingkubernetes
kedacore/keda
Oct 2024 - Apr 2025
KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes
Role in this project:Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:7 reviews, 9 PRs, 30 comments in 5 months
Contributions summary:Omer primarily contributed to the KEDA project by refactoring and configuring various scalers, including AWS SQS, DynamoDB Streams, Kinesis Streams, and GCP Cloud Tasks. They also made changes related to the `automaxprocs` library for consistent logging. Additionally, the user worked on several refactoring tasks, unit tests, and minor bug fixes, improving the robustness and maintainability of the project.
autoscalingevent-drivenkedakubernetesserverless
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