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Recent Posts

Three Critical Signals After Kubernetes Deployments

April 19, 2026

Securing Jellyfin Exposures in Production

April 18, 2026

Building a Production-ready Kubernetes Mvp

April 17, 2026

Transitioning from React to Devops: Earn Trust Through Infrastructure and Observability

April 16, 2026

Pre-deploy Ops Overhead: Diagnosis and Mitigation

April 15, 2026
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Three Critical Signals After Kubernetes Deployments

Verify application health, resource utilization, and event logs immediately post-deploy to catch issues early.

April 19, 2026 JR

2 minute read

Verify application health, resource utilization, and event logs immediately post-deploy to catch issues early.

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    • Kubernetes
    • Security
    • DevSecOps

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Securing Jellyfin Exposures in Production

Review network policies, TLS configuration, and authentication mechanisms to ensure secure Jellyfin exposure in production.

April 18, 2026 JR

2 minute read

Review network policies, TLS configuration, and authentication mechanisms to ensure secure Jellyfin exposure in production.

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    • Kubernetes
    • Security
    • DevSecOps

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Building a Production-ready Kubernetes Mvp

A production Kubernetes MVP requires secure, observable.

April 17, 2026 JR

3 minute read

A production Kubernetes MVP requires secure, observable, and maintainable foundations with minimal viable components to support real workloads.

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    • Kubernetes
    • Security
    • DevSecOps

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Transitioning from React to Devops: Earn Trust Through Infrastructure and Observability

Focus on infrastructure as code, observability, and incident response to build DevOps credibility through measurable outcomes.

April 16, 2026 JR

2 minute read

Focus on infrastructure as code, observability, and incident response to build DevOps credibility through measurable outcomes.

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    • Kubernetes
    • Security
    • DevSecOps

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Pre-deploy Ops Overhead: Diagnosis and Mitigation

The most ops overhead before first deploy stems from misconfigured infrastructure dependencies, unclear deployment pipelines.

April 15, 2026 JR

2 minute read

The most ops overhead before first deploy stems from misconfigured infrastructure dependencies, unclear deployment pipelines, and missing observability, which delay validation and increase toil.

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    • Kubernetes
    • Security
    • DevSecOps

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Hugo Future Imperfect

OpenShift & Kubernetes Mechanic

Preventative maintenance, routine care, and repairs for Kubernetes & OpenShift clusters

Recent Posts

Three Critical Signals After Kubernetes Deployments

April 19, 2026

Securing Jellyfin Exposures in Production

April 18, 2026

Building a Production-ready Kubernetes Mvp

April 17, 2026

Transitioning from React to Devops: Earn Trust Through Infrastructure and Observability

April 16, 2026

Pre-deploy Ops Overhead: Diagnosis and Mitigation

April 15, 2026
View more posts

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About

I’m a Red Hatter working as a Solutions Architect, formerly a Senior Cloud Success Architect, with a focus on and passion for OpenShift and Ansible. Previous life? Cloud Advanced Technology Lead & Big Data Engineer for Lockheed Martin Space, IT/IS Data Center Manager for Lockheed Martin IS&GS, and Senior Infrastructure Designer/Administrator for the City of Gainesville & City of Alachua.

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