Services
DevOps, SRE, Cloud & AI Engineering
Five disciplines, one senior team — from a first product version through production infrastructure and the pager that comes with it.
MVP
Web & Mobile
Product engineering for teams shipping a first version — web and mobile applications built to hold up under real users, not just a demo.
What this covers
- Product scoping and technical architecture from a blank slate
- Web application development (React / Next.js)
- Mobile application development (React Native, and native where needed)
- API and backend design built to extend past the first release
- Authentication, payments and third-party integrations
- Design handoff to production-ready UI
What you get
- A production-deployed web and/or mobile application
- Documented architecture and a codebase ready for an in-house team
- A CI/CD pipeline for ongoing releases
Who it's for
Founders and product teams building a first version who need it to work under real users, not just survive a demo.
Stack
Next.js · React Native · TypeScript · PostgreSQL · Node.js
Scaling
DevOps & Platform Engineering
Infrastructure, CI/CD and internal tooling that let a small team ship fast without breaking things. We build the platform underneath the product.
What this covers
- CI/CD pipeline design and automation
- Containerization and Kubernetes orchestration
- Internal developer tooling and self-service platforms
- Infrastructure as code (Terraform)
- Environment and release management — staging, canary, blue-green
- Secrets management and access control
What you get
- A CI/CD pipeline from commit to production
- Infrastructure defined and version-controlled as code
- Runbooks for common operational tasks
Who it's for
Teams past their first deploy who are shipping often enough that manual releases and infrastructure drift have started to hurt.
Stack
Kubernetes · Docker · Terraform · GitHub Actions · ArgoCD
Cloud
Cloud Infrastructure
Architecture and provisioning across AWS, GCP and Azure — networking, compute, storage and cost, designed to be reproducible and owned in code.
What this covers
- Cloud architecture design across AWS, GCP and Azure
- VPC, networking and IAM design
- Compute and storage provisioning, right-sized for actual load
- Cost optimization and usage auditing
- Multi-region and disaster-recovery setup
- Migration off a single provider or off bare metal
What you get
- Reproducible infrastructure-as-code modules
- Documented network and access architecture
- A cost baseline and optimization plan
Who it's for
Product teams whose cloud footprint or bill has outgrown ad-hoc console changes.
Stack
AWS · GCP · Azure · Terraform · Kubernetes
AI
AI & GPU Infrastructure
Applied AI systems and the GPU infrastructure they run on — model serving and inference pipelines, and the training and orchestration layer beneath them.
What this covers
- Model serving and inference pipeline design
- GPU cluster provisioning and orchestration
- Training pipeline setup and orchestration
- LLM application and RAG pipeline engineering
- Cost and latency optimization for inference at scale
- Vector database and embedding infrastructure
What you get
- A deployed inference/serving pipeline
- GPU infrastructure provisioned and orchestrated as code
- Monitoring for latency, cost and model performance
Who it's for
Teams shipping an AI feature or product who need the infrastructure underneath it to be reliable and cost-aware, not a notebook running in production.
Stack
PyTorch · vLLM · Kubernetes · NVIDIA GPUs · Terraform
Reliability
Observability · SRE · Support
Monitoring, alerting and incident response for systems already in production. We keep what's built running, and improve it under real load.
What this covers
- Monitoring and alerting setup — metrics, logs, traces
- On-call rotation design and incident response process
- SLO/SLA definition and error-budget tracking
- Postmortems and reliability improvement roadmaps
- Load testing and capacity planning
- Production support and pager coverage
What you get
- A monitoring and alerting stack tuned to real failure modes
- Documented incident response runbooks
- An ongoing production support arrangement
Who it's for
Teams with something already in production who need fewer surprises and faster recovery when something breaks.
Stack
Prometheus · Grafana · OpenTelemetry · PagerDuty · Datadog
See it in production — the WorkStack case study.
Contact
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