>> ABSTRACT

This portfolio presents the design, implementation, and evaluation of a scalable architecture enabling BlueTide Marine Technologies to strategically expand into real-time analytics. Overcoming structural physical limitations, a decoupled 2-tier AWS blueprint establishes data sovereignty while maximizing sustainability. By employing Amazon VPC isolation, EC2 Auto Scaling, S3 Object Lock, and serverless analytics by Amazon Athena, the system processes volatile marine telemetry streams natively. Security relies on a strict zero-trust boundary crafted through Amazon API Gateway and AWS Lambda execution brokers—protecting the sovereign data lake from external exploitation.

1. System Design

Core Ingestion and Governance Tier Architecture

Figure 1: Core architecture for BMT showing Edge Ingestion Layer, VPC, S3 Lake, and Security Hub.

The decoupled, multi-tiered pipeline enforces functional segregation. Satellite uplinks deliver irregular telemetry spikes, pushing physical infrastructure to failure. AWS Auto-Scaling automatically adjusts compute instances across isolated Private Subnets in real-time, matching satellite surge volumes mathematically without persistent idle overprovisioning.

2. Zero-Trust API Bridge

Zero-Trust Web Presentation Tier

Figure 2: Zero-Trust web presentation tier using API Gateway and Lambda execution boundaries.

To address vulnerability pathways commonly exploited in presentation layers (e.g., WordPress), this architecture enforces the NIST SP 800-207A framework. Researchers use a frontend blocked from S3. Instead, a custom API Gateway invokes isolated AWS Lambda processes serving as an execution broker—eliminating direct horizontal reach into the scientific data lake.

3. Governance & Sovereign Immutability

Compliance under UK GDPR strictly mandates verifiable audit mechanisms and tamper protection. S3 Object Lock operates in compliance mode paired with strict AWS CloudTrail auditing and Customer Managed Keys (AWS KMS). Amazon GuardDuty and Amazon Macie drive continuous vulnerability posture management, autonomously tracing anomalous API events and exposing PII leakages.

4. Serverless Resource Optimization

By adopting Amazon Athena alongside AWS Glue Data Catalogs, BMT runs serverless analytical queries directly upon unstructured S3 file lakes. Relinquishing persistently clustered SQL nodes structurally optimizes computing power, ensuring power consumption drops fully correlated with declining querying activity—supporting active "Green Computing" initiatives.