We don’t just ship ideas — we ship outcomes
We’re a production-first engineering consultancy—so our work is judged by what changes in the real world: reliability improves, delivery accelerates, and cloud spend drops in ways that actually stick. These case studies are a snapshot of how we partner with teams to modernize platforms, migrate critical systems, build sustainable cost reduction programs, and deploy production-grade AI and automation. Each story highlights the approach we took, the constraints we worked within, and the measurable results we delivered—so you can quickly see what it looks like to work with us and what success can look like for your organization
Production-First Execution
Modern Best Practices
Sustainable Cloud Cost Reduction
Embedded, Collaborative Delivery
Lean Teams, Senior Engineers
Operational Rigor by Default
12 weeks
Pipecat + Daily.co voice infrastructure with enterprise-grade guardrails, CRM integration, and measurable sales outcomes.
Real-Time Voice Agents
Agent Platforms & Orchestration
Conversation Intelligence
Tooling Integration (CRM + scheduling + enrichment)
Reliability Engineering (latency, retries, fallbacks)
Security & PII Controls
Observability & Evaluation Frameworks
Production Readiness & Runbooks
8 weeks
A net-new rapid MVP build: automated prospecting, outreach, nurturing, and in-call agentic AI—production-ready from day one.
Rapid MVP Development (8-week build)
Full-Stack Product Engineering
AI Agent Productization
Platform Engineering & Cloud Architecture
Security & Access Controls
Observability & Production Readiness
CI/CD and Release Engineering
4 weeks
Engineering-led cost reduction that actually sticks
Sustainable Cost Reduction
Cloud Cost Optimization
Kubernetes Optimization
FinOps Engineering
Infrastructure Optimization
22 weeks
Enterprise SaaS enablement on Cloud Foundry + AWS
Cloud migration
CI/CD automation
Backend API engineering
Enterprise UI development
4 weeks
30 applications migrated in 30 days with zero downtime
Kubernetes migration
Container orchestration modernization
Deployment standardization
Cutover planning
Operational hardening
6 weeks
Wave-based migration with GitOps + CI/CD modernization
Kubernetes migration
Infrastructure as Code
GitOps implementation
CI/CD modernization
Observability enablement
8 weeks
Ephemeral environments + automation to cut cloud spend
Terraform Infrastructure as Code
Cost optimization
Automation pipelines
Ephemeral environment design
Cloud governance
6 weeks
Cold start reduced from ~10 minutes to under 1 minute
Kubernetes performance optimization
Security hardening
Container startup optimization
Autoscaling strategy
Get Unlimited PTO, 401(k), Health & Dental Insurance, and many more perks when you join our team.
Curious about our team? Learn more about us on LinkedIn
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International Employer
A practical way to distinguish DevOps, Platform Engineering, and SRE by responsibility instead of buzzword: collaboration, paved roads, and explicit reliability ownership.
A practical primer on Kubernetes as a desired-state control system: what pods, deployments, services, ingress, config, secrets, autoscaling, namespaces, and cluster operations actually do, and what they do not do.
A practical, workflow-first guide to Docker and Kubernetes that explains images, registries, runtimes, deployment automation, and the boundaries that keep container systems understandable and secure.
A cloud-native development operating model turns delivery into a paved road for the common case—automated, observable, and governed—while keeping exceptions explicit and reviewable.