Custom Software Development
Deployments should be boring. Let's make them boring.
If your team dreads release day, SSH-es into servers manually, or finds out about production issues from customers rather than dashboards — the problem is infrastructure, not your engineers. We set up pipelines and observability stacks that turn shipping software from a ceremony into a non-event: automated, tested, monitored, and reversible.
What's included
- CI/CD pipeline setup
- Docker & Kubernetes
- Infrastructure as Code (Terraform)
- Automated testing gates
- Observability & alerting
- Cost optimisation
How we deliver
- 1DevOps maturity assessment
- 2Pipeline architecture & setup
- 3Container & infra configuration
- 4Monitoring & alerting stack
- 5Runbook & team handover
10×
avg deployment frequency increase post-engagement
15 min
avg pipeline run time target
99.9%
pipeline success rate target
40%
avg cloud cost reduction from right-sizing
Technologies we use
- GitHub Actions
- CircleCI
- Docker
- Kubernetes
- Terraform
- Helm
- Datadog
- Grafana
- Prometheus
- PagerDuty
- AWS EKS
- GCP GKE
Why Origin for DevOps & CI/CD
Boring deployments are the goal
We measure success by how unremarkable your release process becomes. Automation, feature flags, and blue-green deployments remove deployment risk systematically.
Alerts that mean something
Alert fatigue kills on-call culture. We configure alerting rules that fire on symptoms your users feel — not metrics that look alarming but are actually fine.
Infrastructure as code from the first resource
Every resource we create is in Terraform from day one. No click-ops. No undocumented manual changes. Your infra is reviewable, repeatable, and recoverable.
Industries we serve
SaaS
Rapid release cycles, feature flagging, multi-tenant infra
Fintech
Compliance, audit trails, secure pipelines
E-Commerce
High-availability, peak traffic handling, CDN
Healthcare
HIPAA-compliant infrastructure, audit logging
Enterprise
Multi-environment pipelines, change management gates
“We went from deploying once a month with everyone holding their breath, to shipping every day without thinking about it. The pipeline they built just works.”
Frequently asked questions
- We deploy once a month because it's risky — can you help us ship more frequently?
- 'Risky deployments' is usually a symptom of insufficient automation, not an inherent property of your system. We introduce automated testing gates, feature flags, and blue-green deployments that make each individual deployment small, tested, and reversible. Most teams go from monthly to weekly deploys within two months of working with us.
- Do we need Kubernetes, or is that overkill?
- Probably overkill, unless you're running many independent services that each need independent scaling and lifecycle management. For most teams, Docker plus a managed container service (ECS, Cloud Run, Railway) is cheaper, simpler, and easier to operate. We recommend Kubernetes when the complexity it solves is genuinely greater than the complexity it introduces.
- What's the difference between CI and CD?
- CI (Continuous Integration) means every code change is automatically built and tested. CD (Continuous Delivery) means every change that passes CI can be deployed to production automatically, or with a single click. Both rely on fast, comprehensive automated tests — without that foundation, automation just speeds up the delivery of broken code.
- What does your observability setup actually include?
- Metrics (CPU, memory, request rate, error rate, latency percentiles), structured logs (searchable, retained, alertable), distributed traces for multi-service systems, and alerting rules that fire before customers notice — not after. We configure dashboards your on-call team will actually look at, not a wall of graphs nobody reads.
- Our infrastructure was set up by a developer who left — can you audit and document what we have?
- Yes. A common engagement is an infrastructure audit: we map what's running, identify undocumented resources and single points of failure, document the setup properly, and produce a prioritised list of improvements. Most teams are surprised how much is quietly broken until they look.