60+ pipelines deployedMean deploy time: 11 min
DevOps and CI/CD ServicesDevOps and CI/CD Pipelines Built to Deploy Without Drama.
Your engineers should be shipping features, not firefighting deployments. We build the pipeline infrastructure that takes code from commit to production automatically, safely, and in minutes.
Submit brief → Call in 48 hours → Pipeline audit in 3 days → First pipeline live in week 2
PIPELINE RUNNING0s
main → feat/user-auth • commit a3f9c2b
Build
Unit Tests (312)
Security Scan
Deploy Staging
Deploy Production
Why This Matters Right Now
The same deployment. Two completely different outcomes.
Without DevOps
Friday 5:02pm — Code pushed to production
Total impact
4h 15min
5:02Dev pushes code; team says "looks good" in
Slack
5:05Manual deployment script started on production
server
5:09Sentry alerts: error rate up 840%. Support
chat
floods
5:11CTO paged. "Who approved this deploy?"
5:15All-hands incident call. Engineers cancelling
evening
plans
6:30Root cause identified: dependency version
mismatch in
prod
8:47Rollback complete. Status page updated
"Resolved"
MonPost-mortem. 4,200+ users affected. Churn risk
flagged
4h 15m
Total downtime
4,200+
Users affected
8 eng
Evening lost
With Redefine DevOps
Friday 5:02pm — Same commit pushed to main
Total impact
12 min
5:02Commit triggers pipeline automatically
5:04Build compiles. 312 unit tests pass. Coverage:
94%
5:05Dependency versions pinned and validated
automatically
5:06Security scan clean. Deployed to staging
automatically
5:08Smoke tests on staging pass. Canary deploy to
5% of prod
traffic
5:11Error rate nominal. Full production rollout
begins
5:14100% traffic on new version. Monitoring
confirms all
healthy
5:14Engineer gets Slack notification: "Deploy #247
succeeded in
12m"
12 min
Commit to prod
Zero
Users affected
1 notif
Engineer needed
Pain · Ops team responding to incident
DevOps Transformation Process
From Manual Deployments to Automated Pipelines in 6 Weeks.
Every pipeline we build ships real code in production before the engagement ends. Week 1 to Week 6: discovery to your first automated production deploy, with your team trained and independent on handoff day.
Transformation timeline
1
Week 1
Infrastructure and workflow audit
Existing repos, CI tools, environments, and deploy risk
mapped
2
Week 2
Pipeline architecture design
Tool selection, branching strategy, environment topology
finalized
3
Weeks 3 to 4
CI automation build
Build, test, lint, and security scan stages wired and live
4
Week 5
CD and environment management
Staging and prod pipelines live, canary deploys configured
5
Week 6
Monitoring, alerting, and team handoff
Observability stack configured, team trained, full handoff
47
Services scanned
12
Issues flagged
3
Critical risks
Issue categories
No staging environmentCritical
Manual deploy scripts undocumentedCritical
No dependency pinning in prodCritical
Test coverage below 40%High
No alerting on deploy failuresHigh
Code push
Build
Test
Scan
Staging
Production
Stack selected
GitHub ActionsDocker + ECRKubernetes (EKS)SnykTerraform
ci-pipeline.yml · Run #247
$ npm run build
> webpack 5.0.0
Building 248 modules...
done (2.4s)
$ jest --coverage --ci
Test Suites:
47 passed, 47 total
Tests: 312 passed, 0
failed
Coverage:
94.2% (threshold: 80%)
$ snyk test
Tested 248 dependencies.
No issues found.
CI passed in 4m 12s
kubectl · EKS cluster: prod-us-east-1
$ kubectl apply -f k8s/prod/
deployment.apps/api
configured
service/api-svc
unchanged
ingress.networking.k8s.io/api
configured
$ kubectl rollout status deployment/api
Waiting for deployment...
1/3 updated
Waiting for deployment...
2/3 updated
Waiting for deployment...
3/3 updated, 3/3 available
deployment "api" successfully rolled out
Production deploy complete in 6m 22s
0.02%
Error rate
12 min
Avg deploy time
8.2/d
Deploy frequency
Deploy frequency (last 7 days)
MonTueWedThuFriSatSun
Team trained and self-sufficient on handoff day
DevOps and CI/CD Service Scope
Six capabilities. One automated engineering operation.
01
CI pipeline setup
GitHub Actions, GitLab CI, or Jenkins, wired to your repo with build, test, and lint stages live in week 1.
02
Continuous deployment
Staging and production pipelines with canary deploys, automated rollback triggers, and zero-downtime release patterns.
03
Infrastructure as code
Terraform or Pulumi to provision and manage all infrastructure. Reproducible environments, no drift, no "it works on my machine."
04
Monitoring and alerting
Grafana, Datadog, or Prometheus stack configured with dashboards, SLO tracking, and Slack or PagerDuty alerts on real failures.
05
Container orchestration
Docker, Kubernetes (EKS, GKE, or AKS), or AWS ECS configured with auto-scaling, health checks, and rolling deployment strategies.
06
Security scanning
Snyk, Trivy, or SonarQube integrated into every pipeline run. Vulnerabilities blocked before they reach staging, not discovered in prod.
The unbroken loop
CI feeds CD.
CD feeds learning.
Always moving.
312
automated tests per loop
No manual testing step
12 min
commit to production, average
Full loop, zero manual steps
< 2 min
automatic rollback on failure
Monitoring triggers it, not you
Real DevOps Transformation
Parsons Kellogg: automated operations that scaled revenue from $14M to $90M.
$0M
Annual revenue after digital transformation and automated operations
0+
Store locations unified on a single automated reporting and workflow platform
0M+
Inventory items managed with real-time automated tracking and warehouse workflows
Proof · Engineering team reviewing pipeline metrics
Retail distribution
Digital transformation
Automation
Parsons Kellogg is a multi-site retail distributor managing 30+ store locations and over one million inventory items across automated warehouse and fulfillment workflows.
Challenge
Existing systems lacked unified visibility across 30 stores. Manual processes increased workload, limited transparency, and led to delayed responses and uninformed decisions. Operational bottlenecks were preventing revenue growth beyond $14M annually.
Solution delivered
A fully automated digital transformation: unified reporting platform, automated warehouse workflows, real-time inventory tracking, and streamlined operational pipelines across all 30 store locations simultaneously.
- Automated reporting across 30 locations
- Real-time warehouse workflow automation
- Unified inventory management (1M+ items)
- Faster decision-making via real-time access
Result
$0M
Annual revenue scaled from under $14M to over $90M through automation, unified reporting, and streamlined operations.
Operational efficiency
Automated workflows and real-time access reduced idle response times and operational workload significantly across all locations.
Visibility
Unified transparency and data accuracy across departments enabled faster, better-informed decisions at every level of the operation.
DevOps Engagement Models
Scoped before a pipeline is touched.
Starter Pipeline
$8K
Fixed scope · 2 to 3 weeks
- CI pipeline (1 repo)
- Build, test, lint, scan stages
- Staging deploy automation
- GitHub Actions or GitLab CI
- Production CD automation
Most common
Full
DevOps Build
$22K
Fixed scope · 6 weeks
- CI and full CD automation
- Kubernetes or ECS setup
- Terraform infrastructure as code included
- Monitoring and alerting stack
- Team training and handoff docs
DevOps Retainer
$4.5K/mo
Monthly · Cancel any time
- Ongoing pipeline management
- Infrastructure updates and scaling
- Security patch response
- Monthly review and reporting
- Incident support and response
All pricing scoped after a free pipeline audit. No commitment required before you see line-item pricing.
Why Redefine DevOps
What separates a real DevOps partner from a CI script vendor.
Capability
Typical agency approach
Redefine approach
Pipeline scope
Writes CI YAML to your spec, no audit of your deploy risk first
Audits your full stack and deploys before designing a single
stage
Rollback strategy
Manual: "ssh in and revert the tag", 20 to 90 minutes of
engineer time
Automated: pipeline detects error rate spike, triggers rollback
in under 2 minutes
Security integration
Optional add-on. Often skipped to save scope budget
Snyk or Trivy in every pipeline by default, not an upsell
Environment parity
Staging uses different config. "Works in staging" becomes
production fire
Terraform provisions identical environments from the same config
base
Handoff model
Pipeline is delivered. Docs are a final deliverable, written in
a day
Team trained during build, not after. Runbooks written
throughout sprints
Monitoring
Alerts on server uptime only. No deploy-correlated metrics
Deploy events correlated to error rate, latency, and apdex in
one dashboard
Questions from CTOs
What engineers ask before signing.
Do we need to change our code structure
to work with your
pipelines?
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 before making them.
We already have some CI set up. Can you
improve what
exists rather than rebuild it?
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 would cost more to maintain than to replace.
Which cloud providers do you
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 preference. Multi-cloud and hybrid setups are handled at the enterprise tier.
What happens on handoff day? Does
everything fall apart
when your team leaves?
Your engineers are trained during the build, not at the end. By Week 5, your team is already merging changes and watching deploys happen. Handoff day is a formality, not a knowledge transfer crisis. A 30-day support window stays open after.
Can you integrate DevOps into an
existing Agile sprint
process?
Yes. We align to your sprint cadence and work as an embedded DevOps team for the duration. Stand-ups, sprint reviews, and backlog items all map to your existing process. We do not require a separate waterfall-style engagement to run in parallel.
Is this a fit?
Strong fit if…
- Deployments take more than 30 minutes or require manual steps
- Your team avoids Friday deploys because of risk
- You have no automatic rollback or canary strategy
- Production and staging environments drift apart over time
May not be a fit if…
- You are pre-MVP with no production environment yet
- You need a fully managed ops team, not pipeline setup
Not sure? Tell us your deploy setup and we will be direct with you.
Start the Pipeline Audit
Tell us how you deploy today. We will show you what it looks like automated.
No commitment. Submit a brief and we will run a free pipeline audit and return a scoped proposal with timeline and fixed pricing within 3 business days.
What you receive after submitting
- Tool stack recommendation: CI system, CD platform, infrastructure as code layer, and monitoring for your specific setup
- Risk map: the 3 highest-priority issues in your current deploy process
- Scope and timeline: week-by-week breakdown from audit to first automated production deploy
- Fixed-price proposal: no hourly billing, no scope creep surprise
Form
Call in 48 hours · Pipeline audit report in 3 days · First automated deploy in week 2
Reply 48 hours
60+ pipelines
First deploy week 2
Code you own
Brief received.
We will audit your current deploy process and return a scoped proposal within 3 business days.
Prefooter · Senior engineer reviewing green CI/CD status
Ready When You Are
Your next deploy could be automated, audited, and live in 12 minutes.
No commitment. No pitch. Submit a brief and we will run a free pipeline audit before any conversation starts.
Submit brief → Call in 48 hours → Audit in 3 days → First automated deploy in week 2