Cloud Architecture Review & Iterative Improvement

I'm Esperance Brooks, a 6x AWS certified cloud and AI-ML professional applying Lean management tools to real-world AWS workloads.

I focus on translating the six AWS Well-Architected pillars into practical, staged adjustments; avoiding broad abstract checklists. Each engagement centers on observable risk reduction and incremental architectural clarity.

You get concise findings, trade-off framing, and a prioritized improvement lane, rather than a static report that gathers dust.

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Bournemouth, UK • Independent Practice

AWS WELL-ARCHITECTED

Operational Security Reliability Performance Cost Sustainability

Strategic Focus Areas

ML & AI Systems Foundations

Data Flow Mapping Model Cost Boundaries Observability Hooks Iteration Strategy Storage Patterns Data Governance

Cost Optimization & Security

Right-Sizing IAM Boundary Design Guardrails & SCP Cost Visibility Least Privilege Zero Waste Review

Sustainability Strategies

Resource Efficiency Lifecycle Policies Idle Pattern Reduction Regional Placement Workload Consolidation Carbon Impact Awareness

Reliability & Performance Trade-offs

Latency Path Analysis Scaling Breakpoints Failure Isolation Resilience Patterns Throughput Modeling Graceful Degradation

Why Work With Me

I combine rigorous analytical methodology with hands-on AWS architecture practice. Instead of generic consulting claims, I focus on verifiable strengths: structured systems analysis, sustainable optimization, and security-aware design decisions that balance real-world trade‑offs.

Multi-Disciplinary Analysis

Earth science research + hospital data rigor + cloud systems thinking for deeper pattern detection.

Security-Conscious By Default

Identity boundaries, least privilege shaping, and governance guardrails baked into recommendations.

Cost–Performance Trade-offs

Right‑sizing, scaling breakpoint analysis, and elimination of idle waste for defensible spend.

Sustainability Mindset

Lifecycle policies, utilization discipline, and workload consolidation for long‑term efficiency.

Evidence-Driven Decisions

Baseline metrics, latency path inspection, and measurable iteration instead of vague claims.

Clear Execution Path

Structured sequencing from assessment → prioritization → targeted remediation → continuous review.

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AWS Well-Architected Pillars

Operational Excellence

Evolve procedures, automate, and instrument to deliver consistent, observable operations and rapid iteration.

Security

Identity, detection, infrastructure protection, data privacy and incident response preparedness embedded.

Reliability

Resilient workload design: distributed boundaries, recovery objectives, failure injection, graceful degradation.

Performance Efficiency

Adaptive resource selection, load patterns, data path efficiency, and architectural experimentation.

Cost Optimization

Usage visibility, avoidance of over‑provisioning, consumption alignment, demand & supply matching, managed services adoption.

Sustainability

Workload efficiency, resource lifecycle choices, geographic placement, and minimizing idle or wasteful patterns.