About the Project

Optimizing Business Growth through Hybrid Cloud Automation.

The project aimed to transform a fragmented management tool into a high-velocity “Central Nervous System.” By focusing on a hybrid architecture, we addressed the gaps left by manual server management, enabling the client to reduce deployment cycles from hours to under 10 minutes. This aligns closely with modern DevOps CI/CD practices, where automated pipelines help teams release faster, reduce manual errors, and improve deployment confidence.

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Project Challenges

Building this hybrid environment posed several unique challenges as the platform transitioned from a manual MVP to an enterprise-grade ecosystem:

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Manual & Risky (The "Scaling Wall") : Updating the system was a manual process, increasing the risk of downtime during critical business hours. Transitioning to an automated flow was essential to ensure that releases were consistent and error-free.
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Fragmented Data Silos : Financial tracking, engineering tasks, and CRM data lived in separate "silos," making real-time ROI tracking impossible. The business needed a way to unify these data streams into a single, actionable dashboard.
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Slow Development & Friction : Developers were spending more time fixing environment-related issues and manual configuration errors than building new features, significantly slowing down the product roadmap.
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Security & Key Management : The use of hardcoded access keys created potential vulnerabilities. Moving to a zero-trust model was mandatory to protect sensitive financial and customer data, especially as infrastructure security became a key part of the DevSecOps vs DevOps decision for growing teams.

Tech Stack used

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How Did We Help?

We approached the development with a phased strategy to address each business and infrastructure challenge systematically.
Infrastructure as Code

Converted AWS infrastructure into reusable CDK code to enable faster regional setup without manual provisioning or configuration delays.

Zero-Trust Security

Implemented authentication to remove long-lived keys and protect deployment workflows from exposed credentials and script access risks.

Self-Healing Backend

Hosted MongoDB and Redis on Amazon EKS with StatefulSets, allowing services to restart, reconnect, and recover quickly during failures.

Workflow Automation

Connected HubSpot, Slack, Linear, and Motion through bi-directional syncs to automate handoffs, alerts, ROI tracking, and task creation.

Performance Scaling

Optimized Kubernetes workloads and serverless triggers so the platform could support 10x traffic growth without infrastructure changes.

Pipeline Validation

Ran health checks, deployment tests, security reviews, and data checks to confirm reliable releases across frequent update cycles fast.

Global Readiness

Prepared platform for global use with repeatable cloud deployments, stronger security, automated workflows, and scalable infrastructure.

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The outcome

The project emerged as a model for modern Hybrid Cloud DevOps, giving the client full control over their business operations and deployment lifecycle.

    • Deployment Speed: Reduced environment setup and deployment time from hours to minutes via automated CI/CD.
    • Enhanced Security: Transitioned from manual IAM keys to a Zero-Key Identity (OIDC) model, drastically reducing security risks.
    • High Reliability: The self-healing nature of the EKS-managed backend ensures that the databases and API remain online 24/7.
    • Scalable Architecture: Built-in auto-scaling allows the platform to handle 10x growth, moving from high environment friction to a seamless “one-command” testing loop.
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Daniel Carter
“The DevOps architecture delivered for the AEOS platform is truly next-level. The team successfully bridged the complexity of Kubernetes with the speed of Serverless, creating a deployment pipeline that is secure, fast, and incredibly reliable. Our local development has never been smoother.”
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