Part of IOanyT’s engineering capability. Most clients reach this team through a Workflow Diagnostic or Proof Sprint. How we work
CI/CD pipeline setup services: set up or fixed, with a way back for every release
Releases depend on one person, a checklist and luck. Or the pipeline exists, but it is slow, flaky or skipped when it matters. We set up or repair an automated release path for your application on AWS.
IOanyT Innovations provides DevOps and infrastructure automation services with 10+ years of production experience. The team sets up new CI/CD pipelines or repairs existing ones using GitLab CI/CD, GitHub Actions, and Jenkins, with staging on separate data and a rehearsed way back for every release. Infrastructure as Code expertise includes Terraform, AWS CloudFormation, and Ansible with GitOps workflows. Container orchestration is delivered through Docker and Kubernetes (EKS) with Helm Charts and service mesh configurations. The monitoring stack includes CloudWatch, Prometheus, Grafana dashboards, ELK Stack for logging, and proactive alert management. The pipeline is code in the client's repository, and the sign-in details it uses stay in the client's own accounts.
Start here
CI/CD pipeline, set up or fixed
A new pipeline, or a repair to the one you have: build, tests and security checks on every change, then deployment to staging and to production on AWS, with a way back.
A pipeline in your own repository
In your repository and AWS account: GitHub Actions, or the CI tool you already use.
Checks on every change
Build, tests, and dependency and secret scanning on every change.
Staging on separate data
A staging environment on separate data, never your live customer data.
A way back for every release
Written down, rehearsed on a copy, with a note of what it cannot undo.
Documentation and handover
A handover session, so your team can run and change the pipeline.
How it works
-
Step 1
Kick-off and access
We look at how you release today and agree the flow. You create a deployment role from the exact permissions we send.
-
Step 2
Build the pipeline
Build, tests, and dependency and secret scanning on every change, in your own repository.
-
Step 3
Staging and the way back
Staging on separate data, and a way back for every release, rehearsed on a copy.
-
Step 4
Handover
Documentation and a handover session, so your team can run and change it.
What you own
The sign-in details the pipeline uses stay in your own accounts, under your control. The pipeline is code in your repository, and there is no runtime or platform fee from us.
What it does not cover
- A full test suite for an untested codebase (we add the checks the pipeline needs; more tests are quoted separately).
- Application changes beyond what the pipeline needs.
- Hosting other than AWS, or running the pipeline for you afterwards.
Manual Deployments Kill Velocity
When deployments require manual steps, SSH sessions, and prayer—teams slow down. Features pile up waiting for release windows. Bugs take days to fix. Innovation stalls.
Common DevOps Pain Points:
- Hours-long deployment processes with manual steps
- "Works on my machine" environment inconsistencies
- Infrastructure drift: production doesn't match docs
- No rollback plan when deployments fail
- Scaling requires manual server provisioning
Fully Automated DevOps Pipeline
We build end-to-end automation that takes the manual steps out of a release: infrastructure as code, container orchestration, and CI/CD pipelines.
Before Automation
- • Slow, manual deployments
- • Friday deploy = weekend on-call
- • Environment inconsistencies
- • Manual rollback (risky)
After Automation
- ✅ Automated, repeatable deploys
- ✅ Repeatable releases
- ✅ Identical dev/staging/production
- ✅ A way back for every release, rehearsed on a copy
Our DevOps Services
CI/CD Pipelines
Automated testing, building, and deployment on every commit
- • GitLab CI/CD
- • GitHub Actions
- • Jenkins
- • Automated testing gates
Container Orchestration
Docker containers managed with Kubernetes for scalability
- • Kubernetes (EKS)
- • Docker
- • Helm Charts
- • Service Mesh
Infrastructure as Code
Version-controlled infrastructure, reproducible environments
- • Terraform
- • AWS CloudFormation
- • Ansible
- • GitOps workflows
Monitoring & Logging
Observability stack for proactive issue detection
- • CloudWatch / Prometheus
- • Grafana Dashboards
- • ELK Stack (Logs)
- • Alert Management
Our own product
Want the monitoring and alerting run for you after the build, not just set up? VigilCloud runs monitoring, security, compliance, cost and CI/CD for you, mostly automated, with a senior engineer on every escalation. The 2am page goes to us; the morning report goes to you.
See VigilCloud at vigilcloud.io →Our DevOps Stack
CI/CD pipeline questions
Which tools do you use?
GitHub Actions, or the CI tool you already use, deploying to AWS. Everything lives in your repository and your account.
Do you hold our production credentials?
No. The sign-in details the pipeline uses stay in your own accounts, under your control.
What if a release goes wrong?
Every release has a way back, written down and rehearsed on a copy before it is needed, with a note of what it cannot undo.
Are we tied to you afterwards?
No. The pipeline is code in your repository with documentation, and there is no runtime or platform fee from us.
Further reading
Start with the free Review.
Free, 60–90 minutes. Bring the system or decision you are weighing; we tell you what to check first, in a 2-page note you keep.
Fixed price, agreed at scoping. The quote comes from Pricient — by IOanyT, itemised with exclusions.
Prefer to start through Upwork, with escrow and milestone payments? Several of our fixed-scope engagements are available there. See them on Upwork