DEPLOY
Containerized applications deployed through Kubernetes infrastructure.
Deploy, automate, secure, observe, and scale cloud-native applications through a developer platform engineered around Kubernetes, infrastructure automation, observability, security, and intelligent cloud operations.
ZonedAccuracy brings infrastructure, automation, observability, security, cost intelligence, and AI-assisted operations into one cloud engineering architecture.
Containerized applications deployed through Kubernetes infrastructure.
Infrastructure provisioning and delivery automated through declarative workflows.
Infrastructure health, application telemetry, logs, and operational signals.
Identity, policy, workload protection, and Zero Trust cloud controls.
Cloud usage and infrastructure cost visibility designed around FinOps.
AI-assisted operational intelligence for detecting and responding to cloud events.
ZonedAccuracy projects demonstrate the engineering lifecycle behind modern cloud platforms — provisioning infrastructure, deploying applications, automating delivery, monitoring systems, enforcing security controls, and applying intelligent cloud operations.
A cloud-native Kubernetes platform engineered on Google Cloud to demonstrate automated infrastructure provisioning, container orchestration, workload deployment, autoscaling, CI/CD, identity, and security controls in a production-style architecture.
Anime Release CLI is a globally installable Python command-line application for anime discovery, seasonal releases, episode schedules, and streaming availability. The application integrates AniList, Kitsu, and Tsuzuki behind a fault-tolerant multi-provider architecture with automatic API fallback, response normalization, local timezone processing, and packaged CLI distribution through pipx.
A cloud engineering project focused on building and validating a Kubernetes environment on Google Cloud. The platform demonstrates how containerized workloads can be deployed, managed, exposed, and scaled through a managed Kubernetes control plane.
Design a cloud-native environment that can deploy and manage containerized workloads while demonstrating orchestration, service exposure, scalability, and infrastructure control.
Use Google Kubernetes Engine as the managed Kubernetes foundation, then deploy workloads, expose services, manage cluster resources, and validate the platform from the command line.
The project demonstrates how containerized applications can move from local development into a managed cloud orchestration environment with repeatable infrastructure practices.
Successfully built and validated a Kubernetes cloud platform, then removed active cloud resources after testing to prevent unnecessary infrastructure cost.
An operations interface for visualizing infrastructure state, deployments, observability, security, and cloud cost signals across the ZonedAccuracy platform.
Cloud Lab interface initialized
Kubernetes project metadata loaded
Infrastructure state verified
No active billable cluster resources
Guardian is the planned intelligent operations layer for ZonedAccuracy, designed to analyze infrastructure signals, correlate cloud context, assist with diagnostics, and recommend operational actions.
Workload health signal received
Identity policy context attached
Resource usage pattern evaluated
Diagnostic recommendation generated
Guardian would combine Kubernetes health, recent deployment events, policy context, and cost signals before recommending an operational response.
A three-dimensional view of the ZonedAccuracy cloud architecture. Kubernetes operates as the central control plane, connected to automation, observability, security, FinOps, and Guardian AI operations.
A cloud engineering profile focused on building secure, scalable, and observable infrastructure. I design, automate, and optimize systems that deliver reliability, performance, and measurable impact.
Designing scalable, resilient, and cost-efficient cloud architectures.
Infrastructure as Code, CI/CD, and automated operational workflows.
Implementing security best practices, IAM, encryption, and compliance controls.
Monitoring, alerting, logging, and building reliable, observable systems.
> Building secure cloud systems
> Automating infrastructure
> Optimizing performance & cost
Build systems that solve real-world problems.
Automate everything. Document everything.
Secure by design. Reliable by default.
Quality over speed. Impact over metrics.