Stop Losing Fridays to Deployments. Get Code to Production in 12 Minutes.
Your engineers are spending hours on manual deploys, incidents, and rollback emergencies. We build the CI/CD pipeline infrastructure that takes every commit from code to production automatically — tested, scanned, and deployed in under 12 minutes. Your team keeps shipping features.
The same code change. 4 hours of downtime vs. 12 minutes to live.
Pain · Ops team responding to incident
From Manual Deployments to Automated Pipelines in 6 Weeks.
Every pipeline we build deploys real code to production before the engagement ends. Week 1 to Week 6: your first automated production deploy ships, and your team is trained to run it independently on day one of handoff.
Your 6-week build plan
Six capabilities. One automated engineering operation.
CI pipeline setup
GitHub Actions, GitLab CI, or Jenkins, connected to your repo and running build, test, and lint checks automatically. Your first passing pipeline runs in week 1.
Continuous deployment
Staging and production pipelines with canary deploys, automated rollback on error rate spikes, and zero-downtime releases. Your engineers stop hand-holding deploys.
Infrastructure as code
Terraform or Pulumi provisions and manages your entire infrastructure from a single config. Environments stay identical. "It works on my machine" stops being a conversation.
Monitoring and alerting
Grafana, Datadog, or Prometheus dashboards with SLO tracking and Slack or PagerDuty alerts. You get notified before a customer files a support ticket.
Container orchestration
Docker with Kubernetes (EKS, GKE, or AKS) or AWS ECS, configured with auto-scaling, health checks, and rolling deploys. Traffic shifts away from failing pods before users notice.
Security scanning
Snyk, Trivy, or SonarQube runs inside every pipeline. Vulnerabilities are caught and blocked before staging. They never reach production.
CI feeds CD.
CD feeds learning.
Always moving.
Parsons Kellogg: pipeline automation and unified workflows took revenue from $14M to $120M.
Revenue after automated operations replaced manual workflows
Locations unified on a single real-time reporting platform
Inventory items tracked automatically, zero manual reconciliation
Proof · Engineering team reviewing pipeline metrics
Parsons Kellogg is a multi-site retail distributor running 30+ store locations and over one million inventory items. Before the engagement, operations ran on manual processes, disconnected systems, and no unified reporting.
Manual processes created blind spots across 30 stores. Managers could not see inventory or order status in real time, which led to late decisions, missed orders, and a revenue ceiling at $14M. The bottleneck was not the market — it was the operations infrastructure.
A full operational automation layer: unified reporting across all 30 locations, automated warehouse workflows, real-time inventory tracking, and streamlined fulfillment pipelines — built and deployed simultaneously.
- Real-time reporting across all 30 locations from one dashboard
- Automated warehouse and fulfillment workflows, replacing manual steps
- Unified inventory management tracking 1M+ items live
- Decision-makers saw store data in real time instead of waiting for daily reports
Revenue scaled from under $14M to over $120M. The growth came from operational capacity that manual workflows could not support.
Operational efficiency
Automated workflows cut the time between identifying an issue and acting on it. Managers stopped waiting for end-of-day reports and responded in real time.
Visibility
Every store, every inventory count, every order status — visible from a single dashboard. Decisions that used to take days took minutes.
You see the full scope and fixed price before the first line of pipeline code is written.
Fixed scope · 2 to 3 weeks
- CI pipeline for your primary repo
- Build, test, lint, and security scan stages
- Automated staging deployment
- GitHub Actions or GitLab CI
- Add production CD in a second engagement or upgrade to Full Build
Fixed scope · 6 weeks
- CI and full CD automation, commit to production
- Kubernetes or ECS container setup
- Terraform provisions all infrastructure
- Monitoring and alerting stack (Grafana or Datadog)
- Your team trained throughout the build — not just at handoff
Monthly · Cancel any time
- Ongoing pipeline management and optimization
- Infrastructure scaling as your traffic grows
- Security patches deployed before they become incidents
- Monthly pipeline review and performance report
- Incident response: we are on it before you are paged
All engagements begin with a free pipeline audit. You receive a line-item fixed-price proposal before any work starts. No hourly billing. No scope surprises.
What you actually get from a DevOps and CI/CD specialist versus a CI script shop.
What engineering leaders ask before they start.
In most cases, no. We build the pipeline around your existing repo structure, branching strategy, and test setup. Where we do recommend changes — for example, adding a Dockerfile or splitting test commands — we explain the reason and get your approval first.
Yes. The audit in Week 1 maps what you already have. We keep what works, replace what is causing pain, and add what is missing. A full rebuild is only recommended when the existing setup costs more to maintain than to replace.
Yes. We support AWS (EKS, ECS, Fargate, Lambda), GCP (GKE, Cloud Run), and Azure (AKS, Container Apps). We recommend based on your team's existing skills and current provider, not on what we prefer to work with. Multi-cloud and hybrid environments are in scope — tell us your setup in the brief and we will confirm.
Your engineers are trained during the build, not at the end. By Week 5, your team is already merging changes and watching automated deploys run. Handoff day is a formality, not a knowledge transfer crisis. A 30-day support window stays open after handoff.
Yes. We align to your sprint cadence and work as an embedded DevOps team throughout. Stand-ups, sprint reviews, and backlog items all map to your existing process. We do not require a separate waterfall-style engagement running in parallel.
Is this a fit?
Strong fit if…
- Your team spends more than 30 minutes on a manual deployment
- You avoid Friday releases because the risk of a bad deploy is real
- You have no automatic rollback — a bad deploy means SSHing in to fix it
- Staging and production use different configs, so "works in staging" is not a guarantee
Probably not a fit if…
- You are pre-MVP and have no production environment to automate yet
- You want a vendor to run your entire infrastructure — not just build the pipeline and hand it to your team
Not sure? Tell us your current deploy process and we will tell you directly if we are the right fit.
Tell us how you deploy today. We will show you exactly what automated looks like.
No commitment required. Submit a brief and we run a free pipeline audit, then return a scoped proposal with fixed pricing within 3 business days.
What you get back within 3 days
- A specific tool stack recommendation — CI system, CD platform, infrastructure layer, and monitoring — matched to your current setup, not a generic template
- A risk map: the 3 biggest vulnerabilities in your current deploy process, ranked by impact
- A week-by-week scope: from the audit to your first automated production deploy
- A fixed-price proposal: one number, one timeline, no hourly billing
Prefooter · Senior engineer reviewing green CI/CD status
Your next deploy will take 12 minutes. Fully automated, tested, and safe.
No commitment. No sales pitch. Submit a brief and we run a free pipeline audit before any conversation starts. You see the scope and price before anything is built.