Manual deployments are a risk. We engineer them out.
Every manual step in your release process is a failure waiting for the wrong moment. Configuration drift between environments means your staging test is not testing what production will run. Your deployment runbook lives in one person's head - and that person is on leave the next time something goes wrong.
CirOps builds CI/CD pipelines, IaC-managed environments, and GitOps workflows for engineering teams shipping across AWS, Google Cloud, Microsoft Azure, and hybrid environments. We engineer the release path end to end, from versioned infrastructure and automated tests to controlled production deployment.
CI/CD
Pipeline delivery in scope
IaC
Version-controlled workflows
Controlled rollout
Deployment patterns - by design
The Problem
Releases should not feel like a risk. If they do, the delivery infrastructure needs to change.
The symptoms are consistent across teams: deployments that work differently in staging and production because the environments have diverged and nobody is sure when. Releases scheduled for low-traffic windows because confidence in the process is low. Secrets stored in config files that get committed to repositories.
No infrastructure-as-code - which means no way to reproduce an environment reliably, no audit trail for what changed, and no rollback path that does not involve manual intervention.
Modern engineering delivery does not have to operate this way. CI/CD pipelines, IaC, GitOps, and automated security scanning are not aspirational practices - they are mature, proven delivery infrastructure that teams of any size can run. The barrier is building it correctly the first time and making sure the team understands it well enough to own it long term. That is what we build and deliver.
The cost is not just deployment speed. It is engineering confidence, incident frequency, and the cognitive load of managing a delivery process held together by convention - not automated, version-controlled systems.
What We Deliver
DevOps and automation infrastructure - designed, built, and handed over ready to operate.
CI/CD pipeline design and implementation
We design and build continuous integration and continuous delivery pipelines on your existing tooling - GitHub Actions, GitLab CI/CD, AWS CodePipeline, or whichever platform your team already uses. Pipelines are built to run automated tests, enforce quality gates, and deploy to target environments without manual intervention. Every pipeline is version-controlled and defined as code - not a sequence of manual steps documented in a wiki.
Infrastructure as Code (Terraform / CloudFormation)
Infrastructure changes in scope are version-controlled and delivered through the agreed infrastructure-as-code workflow. Terraform supports cross-cloud delivery; CloudFormation and CDK are AWS-specific options. Modules are documented and structured for the team that will maintain them after handover.
GitOps workflows and release automation
We implement GitOps workflows that make the Git repository the single source of truth for environment state. Pull requests trigger automated validation; merges trigger automated deployment. Release automation removes the manual coordination overhead from every deployment event - and gives every change a clear audit trail from commit to production.
Pipeline security scanning and secrets management
Security is embedded in the pipeline - not checked at deployment time. Static analysis, dependency vulnerability scanning, and policy-as-code checks run at commit and pull-request stages. Secrets are managed through AWS Secrets Manager or HashiCorp Vault - not stored in environment files, config repositories, or pipeline variables where they can drift and leak.
Who It's For
Built for engineering teams that need delivery infrastructure they can trust.
SaaS engineering teams
High deployment frequency, multiple environments, SLA-backed uptime. Manual delivery processes do not scale with product velocity. CI/CD and IaC are the infrastructure layer that lets your product team ship without the release becoming the riskiest part of the sprint.
Ecommerce and D2C platforms
Seasonal peaks, promotional launches, and high-availability requirements mean your deployment process needs to be reliable regardless of timing or volume. GitOps and automated pipelines eliminate the manual coordination risk from high-stakes releases.
Startups and scale-ups
Delivery infrastructure established early gives the team a consistent release path as products and environments grow. We build the pipeline and infrastructure-as-code foundation around the current architecture, ownership model, and expected change patterns.
Process
From current state to production-ready delivery infrastructure - four steps.
Current-State Assessment
We map your existing delivery process: how code moves from commit to production today, what tooling is in place, where manual steps exist, how environments are managed, how secrets are stored, and what the current failure modes are. The assessment produces a clear picture of gaps and a prioritized improvement plan.
Pipeline Design
Working from the assessment findings, we design the target-state pipeline architecture: tool selection, stage structure, environment strategy, IaC module design, GitOps workflow, security scanning integration, and secrets management approach. Your team reviews and approves the architecture before a single line of pipeline code is written.
Implementation
We build the pipeline and IaC infrastructure to the agreed design. Every component is implemented in code, committed to version control, and tested against real environments - including failure scenarios - before declaring it production-ready. Implementation includes secrets migration, environment parity validation, and an end-to-end release test.
Team Enablement
Working sessions with your engineers run throughout implementation so the team understands each component as it is built. At handoff, every pipeline and IaC module is fully documented with inline comments and runbooks. Your team owns and operates what we delivered - with the knowledge to extend it as your architecture evolves.
AI-Augmented Engineering
AI-assisted delivery engineering - built into how we work.
CirOps engineers work with AI throughout every DevOps engagement. In delivery infrastructure specifically, this means faster production, better coverage, and security issues caught earlier.
AI-assisted IaC generation. CirOps engineers use AI tools to draft Terraform, CloudFormation, and CDK changes from architecture specifications. Engineers review, test, and validate every change through the agreed delivery workflow before deployment.
AI-assisted pipeline debugging. When a build fails, AI assistance helps correlate relevant log lines, dependency conflicts, and configuration mismatches. Engineers validate the diagnosis and decide the corrective action before the pipeline changes.
Security scanning automation. AI-assisted tools embedded in the pipeline flag misconfigurations, dependency vulnerabilities, and policy violations at commit time - not at deployment time when they are harder and more expensive to fix. Security coverage extends across the full pipeline, not just the points where a human thought to add a check.
In Production
Delivery infrastructure that has been tested in production.
Controlled migration planning
Rollouts use workload-specific validation, maintenance planning, and rollback criteria. Pipeline and infrastructure-as-code practices make those controls repeatable.
Version-controlled infrastructure changes
Infrastructure changes in scope are version-controlled and delivered through the agreed infrastructure-as-code workflow, with exceptions and dependencies documented.
Environments that match - by design
Dev, staging, and production defined from the same IaC modules. Environment drift is an architecture problem. We solve it structurally.
Tools & stack
The tools your pipeline will run on.
We work with your existing toolchain where possible, and recommend the right tool for the job where you don't have one yet - not whatever we find easiest.
IaC
- Terraform
- AWS CDK
- CloudFormation
CI/CD
- GitHub Actions
- GitLab CI/CD
- AWS CodePipeline
GitOps
- ArgoCD
- Helm
- Flux CD
Containers
- Docker
- Amazon ECS
- Amazon EKS
Config & Secrets
- AWS Secrets Manager
- HashiCorp Vault
- Parameter Store
Scanning
- Checkov
- Trivy
- Snyk
Automation
- Ansible
- Packer
- AWS Systems Manager
Registries
- Amazon ECR
- GitHub Container Registry
Frequently asked questions
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Production Kubernetes foundations, delivery standards, and workload controls.
Managed Cloud Operations
Managed cloud operations so your engineers focus on product.
Cloud Security
Security controls and compliance frameworks embedded in the pipeline.
See exactly what your delivery infrastructure needs - at no cost.
The No-cost Cloud Architecture Review covers your current pipeline, your IaC maturity, your environment strategy, and the gaps between where you are and where your delivery process needs to be. Walk away with a clear picture - no obligation, no pitch, just an honest assessment from engineers who build and operate this infrastructure in production.