openstack-k8s-operators/architecture
Nov 2024 – May 2025
3 Months active
Languages Used
yamlYAML
Technical Skills
Cloud InfrastructureInfrastructure as CodeKubernetesOpenStackKustomize
Marian Krcmarik
PROFILE
Marian Krcmarik
Mari Krcmaric contributed to the openstack-k8s-operators/architecture repository by engineering scalable, isolated Data Center Network (DCN) multicell deployments within an OpenStack-Kubernetes operator framework. Mari implemented dedicated messaging and compute services per DCN site using YAML and Kustomize, improving fault isolation and resource management. The work included refactoring control plane configuration generation for modularity and enabling efficient edge deployments with lower resource footprints. Additionally, Mari addressed configuration drift by aligning cross-AZ attach settings between nova-api and nova-compute, ensuring consistent behavior during DCN scaling. These efforts demonstrated depth in cloud infrastructure, Kubernetes, and configuration management for complex multi-site environments.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
1,000
Activity Months3
Your Network
2606 people
Work History
May 2025
1 Commits
May 1, 2025May 2025 monthly summary for openstack-k8s-operators/architecture focusing on stabilizing cross-AZ attach behavior between nova-api and nova-compute, delivering a targeted configuration alignment and updating CI signals. Result: improved consistency for scale-down and DCN service configurations, reducing risk of data-plane drift during DCN scaling.
1 Commits
May 1, 2025May 2025 monthly summary for openstack-k8s-operators/architecture focusing on stabilizing cross-AZ attach behavior between nova-api and nova-compute, delivering a targeted configuration alignment and updating CI signals. Result: improved consistency for scale-down and DCN service configurations, reducing risk of data-plane drift during DCN scaling.
May 2025
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for openstack-k8s-operators/architecture: Key feature delivered is the scaled-down DCN site deployment using an AZ1 configuration example, accompanied by refactoring of control plane CR generation into a separate step to improve modularity and reduce resource usage. No major bugs documented fix in this period. Overall impact includes enabling more efficient edge deployments, improved deployment workflow clarity, and better resource utilization. Technologies and skills demonstrated include Kubernetes CR workflows, modular design patterns, configuration management, and edge-scale deployment strategies.
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for openstack-k8s-operators/architecture: Key feature delivered is the scaled-down DCN site deployment using an AZ1 configuration example, accompanied by refactoring of control plane CR generation into a separate step to improve modularity and reduce resource usage. No major bugs documented fix in this period. Overall impact includes enabling more efficient edge deployments, improved deployment workflow clarity, and better resource utilization. Technologies and skills demonstrated include Kubernetes CR workflows, modular design patterns, configuration management, and edge-scale deployment strategies.
November 2024
1 Commits • 1 Features
Nov 1, 2024Month: 2024-11. Focused delivery: DCN multicell deployment isolation in the architecture repo, enabling scalable, isolated DCN sites within OpenStack-Kubernetes operator framework. Implemented per-DCN-site dedicated messaging and compute services and updated routing for metadata services to their respective cells. This creates fault isolation, improved resource management, and clearer boundaries for multi-site deployments.
1 Commits • 1 Features
Nov 1, 2024Month: 2024-11. Focused delivery: DCN multicell deployment isolation in the architecture repo, enabling scalable, isolated DCN sites within OpenStack-Kubernetes operator framework. Implemented per-DCN-site dedicated messaging and compute services and updated routing for metadata services to their respective cells. This creates fault isolation, improved resource management, and clearer boundaries for multi-site deployments.
November 2024
Activity
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Quality Metrics
Correctness90.0%
Maintainability86.6%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
YAMLyaml
Technical Skills
Cloud InfrastructureInfrastructure as CodeKubernetesKustomizeOpenStack
Repositories Contributed To
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