CI/CD and environments
Integration and deployment pipelines for your software and data, with matching environments from testing to production.
Deliverables
- CI/CD pipelines
- Testing and production environments
- Deployments with rollback
DevOps and DataOps
DevOps and DataOps: frequent releases without fear of breaking things
Deployment pipelines, infrastructure as code and monitoring for your software and data. More releases, fewer errors and alerts before your customers notice.
- First call at no cost
- Kickoff in 2 weeks
- Everything documented
Team engineering proven at
- Dow Jones
- LATAM Airlines
- TelevisaUnivision
- Deloitte
- Google Cloud
What we solve
When shipping a change is scary
If any of these sounds familiar, your team is losing time on work that can be automated.
Manual deployments
Every release depends on one person and a checklist.
Environments that don't match
What works in testing fails in production.
Errors your customers report
You learn about an outage when someone complains.
Fragile data pipelines
A job fails overnight and nobody notices until the report.
New projects that take long to start
Each team waits for access and builds its infrastructure from scratch.
Invisible operating costs
Nobody measures what it costs to run each system.
What we do
From manual deployments to automated releases
Infrastructure as code
Your infrastructure described in Terraform, versioned and reviewed, with modules ready for new projects.
Deliverables
- Terraform modules
- Credentials and access pre-wired
- Internal platform for teams
Observability and DataOps
Monitoring, tracing and alerts for your applications and data pipelines, with operating cost measured.
Deliverables
- Dashboards and proactive alerts
- End-to-end tracing
- Operating spend forecasting
Team experience
Platforms the team has already automated
DevOps and DataOps projects by our team in AI startups, airlines, media and Google Cloud support.
AI startup
Internal platformChallenge
Every new project took long to start for lack of base repositories and access.
What was built
Reference architecture with CI/CD and an internal dashboard that serves infrastructure modules with credentials pre-wired.
Airline · legal department
Full platformChallenge
A legal AI platform needed to run across several environments with reliable data.
What was built
The team owned the datalake, pipelines, CI/CD, environments and the matter-intake ticketing system.
Media · financial information
ObservabilityChallenge
An AI agent platform needed cost control and visibility into every query.
What was built
An operations control plane: token-spend forecasting, deep tracing and alerting, plus automated usage reports.
How we work
Short sprints, weekly demos, no black boxes
- 1
First call
no costA conversation with a solutions architect to understand your challenge and tell you honestly whether we are the right fit.
- 2
Assessment and plan
in writingWe review your systems and goals and deliver scope, technology, timeline and price. You approve before we start.
- 3
Sprints with demos
every weekYou see working progress, not slide decks. We adjust priorities with you along the way.
- 4
Delivery and handover
documentedCode, documentation and sessions with your team so it can operate without us.
Security
Your data and your code, under your control
We work inside your accounts and by your rules. When we finish, everything stays with you.
NDA before we start
We sign a confidentiality agreement before seeing any system or data.
The code and credentials are yours
Repositories, cloud accounts and keys in your company's name.
Least-privilege access
We only ask for what each task needs, and you can revoke it at any time.
Documentation included
Architecture, operations and technical decisions in writing with every delivery.
Engagement models and pricing
How to work with us
The first call is at no cost. Then you choose: an assessment to define the plan, a fixed-scope project or a team that moves forward with you month by month.
01 · Assessment
Assessment
On request
Billed hourly
- Sessions with a solutions architect
- Review of your systems, data and goals
- Written plan with scope, technology and price
02 · Per project
Per project
On request
Fixed price
- Fixed scope and price
- Payments per delivered milestone
- Weekly progress demo
- Documentation and handover
03 · Dedicated team
Dedicated team
On request
Fixed monthly fee
- 2-week sprints
- Cloud, data, software and AI in one team
- Scale up or pause with no penalty
- One assigned technical lead
Prices in USD, before VAT. The final price depends on scope.
FAQ
Frequently asked questions about DevOps
What's the difference between DevOps and DataOps?
DevOps automates how your software is built, tested and released. DataOps applies the same to data pipelines: versioning, tests, monitoring and alerts.
Do you use our current tools?
Yes, if they work. We use GitHub Actions, Terraform, Airflow, Datadog and your cloud console; we only change what's worth changing.
How long until we see results?
The first automated pipelines are usually in place in the first weeks of the project; in the assessment we give you the dates in writing.
Will we be able to run it ourselves?
Yes. Everything is documented and we hold handover sessions with your team.
Who owns the code and infrastructure?
You do. Everything lives in your accounts and repositories from day one, with documentation so your team can run it.
How much does it cost?
The first call is at no cost. The assessment is billed hourly and ends with a written plan with a price; then you can choose a fixed-scope project or a dedicated team.
Tell us what you want to automate in your releases
On the first call, at no cost, we review how you ship software and data today and propose the next step: an assessment with a written plan, a project or a dedicated team.
- First call at no cost
- Reply within 1 business day
- NDA if you need it