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Centricone Technologies
Centricone TechnologiesDevOps

DevOps services that turn releases into a non-event

Centricone Technologies builds the delivery path around your software: pipelines that test and ship every change, infrastructure defined in code, environments that match, and the monitoring that tells you something is wrong before a customer does.

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The measure of a delivery pipeline is how ordinary a Friday deploy feels. We build toward that, and we leave the pipeline documented so it stays that way.

2582259344/94977

support coverage across US and Canada time zones

147111590027200%

of code reviewed, tested, and documented before release

Shipping is the slowest part of building

01

Releases are events, not routine

Deploys happen at night, with a checklist and a bridge call, because nobody is confident the pipeline would catch a mistake.

02

Environments don't match

It works in staging and fails in production, and the difference between them lives in changes made by hand months ago.

03

You find out from customers

Logs are in three places, alerts are noise everyone mutes, and the first signal of an outage is a support ticket.

Centricone covers the whole delivery path: source control and pipelines, infrastructure as code, containers and orchestration, and the observability and on-call practice around them.

Automate

Pipelines, infrastructure as code, and containers

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Operate

Observability, on-call, and the security gates in between

Explore cybersecurity services

Stack

Tooling we work in

Pipelines

  • GitHub Actions
  • GitLab CI
  • Azure DevOps
  • Jenkins
  • ArgoCD

Infrastructure

  • Terraform
  • Kubernetes
  • Docker
  • Helm
  • Ansible
  • AWS
  • Azure

Observability

  • Datadog
  • Grafana
  • Prometheus
  • OpenTelemetry
  • Sentry
  • PagerDuty

How a DevOps engagement runs

1

Map the path from commit to customer

Every manual step, wait, and approval on the way to production — the list is usually longer than anyone expects.

2

Automate the riskiest step first

Whichever step causes the most incidents or delay gets a pipeline, tests, and a rollback before anything else is touched.

3

Codify the environments

Infrastructure into Terraform, configuration into version control, and staging rebuilt to match production.

4

Hand over the on-call practice

Dashboards, alert routing, runbooks, and a postmortem habit your team owns after we step back.

Why teams choose Centricone for DevOps

Pipelines your developers can read and change

Infrastructure as code, reviewed like application code

Alerting tuned to symptoms, not to every metric

US and Canada time-zone overlap, with 24/7 production cover

What teams get out of it

A shorter path to production

Changes reach users in hours instead of release windows, and the pipeline — not a checklist — is what catches the mistakes.

Deploys on demand

Tested and reversible in one command

Environments that match

Rebuilt from code, not from memory

Faster detection

Alerts on what users actually feel

Fewer manual steps

The riskiest ones automated first

DevOps for the industries we work in

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eCommerce

Retail teams need to ship constantly and cannot afford to break trading.

DevOps for eCommerce

Finance

Regulated change control and continuous delivery are usually treated as opposites.

DevOps for finance

Telecommunications

Voice does not have an overnight window.

DevOps for telecommunications

Enterprise

Modernization only counts when the business never feels it — same operations on Monday, a platform your team can extend by Friday.

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Often bought together

Frequently asked questions

Still weighing it up? Book a free consultation and we’ll scope it with you.

Cloud work decides where your software runs and how it is architected; DevOps decides how changes get there safely and how you know it is healthy. They overlap, which is why some teams buy them together — that packaged version is our cloud and DevOps engagement.
Often not. Kubernetes earns its operational cost when you run many services, need fine-grained scaling, or already have the skills in-house. For a handful of services, managed containers or serverless are cheaper to run and far cheaper to operate — we will say so rather than sell you a cluster.
Yes, and that is the usual starting point. We audit what exists, fix the steps causing the most pain, and migrate tooling only where it pays for itself. Replacing a working pipeline for the sake of a preference is not an improvement.
Secrets in a managed store rather than in CI variables or repositories, short-lived credentials for deploys, least-privilege roles per environment, and scanning that fails the build when a secret is committed.
Yes, for production systems under a support agreement, with an escalation path that reaches a named engineer. For teams that want to keep on-call in-house, we build the runbooks and alerting and train the rota instead.