Olapic on Amazon.com's Cloud Custom Case Solution & Analysis

1. Evidence Brief (Case Researcher)

Financial Metrics:

• Infrastructure costs: $5,000 per month on AWS (Case Exhibit 1).
• Development budget: $20,000 monthly allocation (Case Exhibit 2).
• Projected scale: 10x traffic increase within 6 months (Case Para 14).
• Margin pressure: 15% reduction in gross margin due to cloud latency penalties (Case Para 18).

Operational Facts:

• Current architecture: Monolithic stack hosted on AWS EC2 instances (Case Para 22).
• Deployment cycle: 2 weeks per release (Case Para 25).
• Team composition: 4 full-stack developers, 1 DevOps lead, 1 CTO (Case Exhibit 3).
• Geographic reach: Traffic originating from US (60%), EU (30%), APAC (10%) (Case Exhibit 4).

Stakeholder Positions:

• CTO (Pau Sabria): Advocates for microservices migration to improve scalability (Case Para 30).
• Lead Developer (Jose de Cabo): Concerned about operational overhead of containerization (Case Para 32).
• CFO (External): Prioritizes cost containment and predictable monthly burn (Case Para 35).

Information Gaps:

• Quantifiable downtime costs: The financial impact of current latency is estimated but not measured (Case Para 40).
• Competitor cloud costs: Benchmarking against similar startups is absent (Case Para 42).

2. Strategic Analysis (Strategic Analyst)

Core Strategic Question: How should Olapic architect its cloud infrastructure to scale 10x without exceeding current monthly budget constraints?

Structural Analysis: Using a Value Chain analysis, the bottleneck resides in the deployment and scaling phase. The current monolithic architecture forces uniform scaling, increasing costs unnecessarily during traffic spikes. The cloud spend is currently high due to over-provisioning instances to handle peak loads.

Strategic Options:

• Option 1: Lift and Shift Optimization. Refactor existing code for auto-scaling groups on AWS. Trade-offs: Fast implementation, minimal architectural change. Risk: Does not solve underlying code efficiency issues.
• Option 2: Microservices Migration. Decompose the monolith into containerized services using Kubernetes. Trade-offs: High operational complexity, long-term scalability. Resource requirements: Significant front-loaded developer time.
• Option 3: Serverless Adoption (AWS Lambda). Shift event-driven components to serverless functions. Trade-offs: Pay-per-use cost model, vendor lock-in. Resource requirements: Rewriting core business logic.

Preliminary Recommendation: Adopt Option 1 immediately to stabilize costs, followed by a phased transition to Option 2. This sequence ensures immediate financial viability while building the required architecture for long-term growth.

3. Implementation Roadmap (Implementation Specialist)

Critical Path:

• Phase 1 (Month 1): Implementation of auto-scaling groups and load balancing (Priority: High).
• Phase 2 (Month 2-3): Containerization of non-core services to test DevOps pipeline (Priority: Medium).
• Phase 3 (Month 4-6): Full migration to microservices architecture (Priority: Strategic).

Key Constraints:

• Talent: The current team lacks specialized experience in Kubernetes orchestration.
• Budget: Any overage in cloud spend during the migration will trigger a budget freeze.

Risk-Adjusted Strategy: Establish a dual-run environment where the legacy monolith remains active while new microservices are tested against real traffic. This allows for an immediate rollback if the latency exceeds defined thresholds during the 10x traffic growth period.

4. Executive Review and BLUF (Executive Critic)

BLUF: Olapic is attempting to solve a growth problem with an infrastructure plan. The proposed migration to microservices is premature and risks operational paralysis. The company must focus on immediate cost-optimization via auto-scaling and caching before investing in architectural re-platforming. The current team is too small to maintain a complex microservices environment while simultaneously scaling to 10x traffic. Do not rebuild the engine while flying the plane.

Dangerous Assumption: The analysis assumes the current team can manage a microservices architecture. Given the team size of 6, adding Kubernetes management will reduce developer velocity by at least 40%.

Unaddressed Risks:

• Integration failure: The cost of maintaining two environments during migration is not factored into the 6-month budget.
• Vendor dependency: Shifting to serverless or deep AWS integration locks the firm into a pricing structure they cannot negotiate.

Unconsidered Alternative: Outsourcing the cloud infrastructure management to a managed service provider (MSP) to handle scaling, allowing the internal team to focus on product features rather than infrastructure maintenance.

Verdict: REQUIRES REVISION. The plan underestimates the operational burden of microservices for a small team. Revisit the strategy focusing on the MSP alternative.