Case studies

Real projects with measurable outcomes. See how we've helped ambitious teams transform their cloud platforms.

Harborlane Payments case study abstract visualization
Case study 1 of 3

Harborlane Payments

Challenge

A payment processor had fragmented deployment processes scattered across multiple teams. Deployment lead times stretched to 9 days or longer due to manual testing, approval gates, and ad-hoc runbooks. Recovery from failures was unpredictable and stressful.

Our approach

We conducted a detailed assessment of their deployment pipeline, identifying bottlenecks and knowledge gaps. We designed a repeatable deployment architecture using infrastructure-as-code, built an automated testing pipeline, and documented clear runbooks for common failure scenarios. We embedded ourselves with their team during implementation, gradually handing off ownership as they gained confidence.

Impact

Harborlane now ships code with the confidence of a mature platform. Their team reduced time in deployment runways by 2 FTEs worth of effort annually, freeing those engineers to work on product features. Most importantly, they sleep better—their deployments are transparent and testable.

Outcomes

Deployment lead time

Before: 9 days
After: 90 minutes

Deployment frequency

Before: 2-3 per week
After: 6-8 per day

Tested recovery time

Before: Untested
After: Verified < 30 min

Failed deployments

Before: 12% rollback rate
After: < 1% rollback rate
Northstar Clinical Systems case study abstract visualization
Case study 2 of 3

Northstar Clinical Systems

Challenge

A healthcare technology company managing HIPAA-regulated workloads across multiple AWS accounts with inconsistent security policies. Audit evidence was scattered across documentation, and compliance validation required manual effort before every audit cycle. They needed confidence that their infrastructure met regulatory requirements.

Our approach

We mapped their compliance requirements to cloud architecture patterns, designed a multi-account landing zone with security controls built-in as code. We established automated compliance checks that run continuously against infrastructure, generating audit evidence automatically. Policy guardrails were embedded in their deployment pipeline, ensuring new workloads default to compliant configurations.

Impact

Northstar's compliance team can now run audits in days instead of weeks. Their engineering team ships features without second-guessing security requirements. They've avoided costly compliance incidents and gained confidence in their regulatory posture.

Outcomes

Audit evidence

Before: Manual collection (2 weeks)
After: Continuous generation (real-time)

Policy violations

Before: Discovered during audits
After: Prevented at deployment time

New account setup time

Before: 3 weeks per environment
After: 2 hours per environment

Compliance confidence

Before: Uncertain
After: Measurable and audited
Fieldstone Commerce Group case study abstract visualization
Case study 3 of 3

Fieldstone Commerce Group

Challenge

A seasonal e-commerce platform experienced unpredictable performance during peak traffic periods (holiday shopping). Infrastructure costs spiked dramatically during busy seasons and remained high during slow periods due to over-provisioned resources. Their platform couldn't scale elastically with demand.

Our approach

We analyzed their traffic patterns and workload characteristics. We designed a highly elastic Kubernetes-based infrastructure with auto-scaling policies tuned to their seasonal patterns. We optimized resource allocation across reserved instances and spot instances, reducing compute costs while maintaining reliability. We established real-time cost monitoring and rightsizing dashboards for visibility into cost drivers.

Impact

Fieldstone's leadership team gained a 28% reduction in cloud costs while simultaneously improving customer experience during peak seasons. Their engineering team owns the scaling patterns and continues to optimize. They've reinvested savings into product development.

Outcomes

Peak season capacity

Before: Unstable, some timeouts
After: Handles 3x baseline traffic smoothly

Annual cloud spend

Before: $2.4M
After: $1.73M

Cost per transaction

Before: $0.045
After: $0.032

Seasonal cost variance

Before: 400% spike in peak months
After: 120% spike (better equilibrium)

Note on metrics: The outcomes shown represent typical results from projects in each category. Actual results vary based on starting position, team composition, and project scope. We don't guarantee specific metrics, but we design engagements to deliver measurable business value.

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