Digital Product

DevOps

DevOps is the union of development and operations. At Trinary, we help your teams set up an automated, secure, and scalable infrastructure. Thanks to CI/CD practices, infrastructure as code, and proactive monitoring, you reduce errors, improve deployment frequency, and offer a better experience to your users.

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Smooth development. Frictionless deployments.

Automate your pipelines to deliver faster, more often.

What is DevOps automation?

The DevOps approach bridges the gap between development (Dev) and operations (Ops) teams by automating the stages of software delivery—from code integration to production deployment. This enables faster, more frequent, and lower-risk releases.

Use cases

1

Continuous Integration Pipelines with Automated Tests

What it is:

A Continuous Integration (CI) pipeline automates the process of validating code as soon as a developer submits a change. It typically includes compilation, testing (unit, integration), and checks for code style or security—ensuring continuous software quality.

Application examples:

  • Automatically running unit tests when a pull request is created.
  • Running performance tests on every major release.
  • Blocking deployment if a critical test fails.

Benefits:

  • Increased confidence in frequent releases.
  • Early detection of bugs or regressions.
  • Code is always in a deployable state.
  • Fewer bugs in production.
2

One-Click Deployments via GitHub Actions, GitLab CI, Bitbucket Pipelines

What it is:

Deployment automation allows rapid delivery of new application versions to environments (staging, production, etc.) directly from your Git repository. Deployments can be triggered with a click—or automatically after code validation—for speed, consistency, and safety.

Application examples:

  • Automatic deployment to a cloud server after merging to the “main” branch.
  • Pushing a Docker image to Docker Hub or AWS ECR after tagging a release.
  • Publishing a web or mobile app to Vercel or Firebase using GitHub Actions.

Benefits:

  • Supports continuous delivery and DevOps culture.
  • Fewer human errors from manual steps.
  • Quick rollback in case of issues.
  • Faster delivery cycles.
3

Monitoring with Incident Alerts (Grafana, Prometheus, Sentry)

What it is:

Monitoring involves collecting metrics on the health of your servers, applications, or services and triggering alerts when anomalies are detected (errors, slow response times, resource saturation, etc.). These systems help you react before users are affected.

Application examples:

  • Application error tracking via Sentry, linked to the responsible commit.
  • Slack alert triggered if a service response time exceeds 1.5 seconds.
  • Grafana dashboards tracking memory, CPU, traffic, etc.

Benefits:

  • Reduced Mean Time To Recovery (MTTR).
  • Proactive visibility into system health.
  • Fewer outages, greater reliability.
  • Data-driven decision-making..
4

Infrastructure Management with Terraform, Ansible, or Docker

What it is:

These tools allow you to define and manage infrastructure (servers, networks, containers, etc.) as code. This means environments can be created, configured, and maintained in a consistent, version-controlled, and secure way.

Application examples:

  • Containerizing an app with Docker Compose to standardize environments.
  • Automatically provisioning AWS or Azure servers with Terraform files.
  • Setting up a server with Nginx, PHP, and PostgreSQL using Ansible.

Benefits:

  • Less manual configuration = more environment consistency.
  • Ability to deploy (or rebuild) full environments in minutes.
  • Lower deployment risks and time investment.
  • Infrastructure changes tracked in Git.

Methodology

  1. Technical Assessment: audit your delivery pipeline and existing practices.
  2. SCI/CD Setup: implement automated integration and deployment pipelines.
  3. CContainerization: standardize environments with Docker or similar.
  4. Infrastructure as Code: manage reproducible environments using Terraform or Ansible.
  5. Monitoring: set up proactive monitoring with alerts and dashboards (Grafana, Sentry, etc.).

FAQ

No. We can support you whether you’re starting from scratch or evolving an existing team.

GitHub Actions, GitLab CI/CD, Bitbucket Pipelines, Docker, Terraform, Ansible, Prometheus, Grafana, Sentry… We tailor the stack to your needs and constraints.

A basic pipeline can be set up in a few days. Full, tested automation generally takes 1 to 3 weeks.

Not everything—but most repetitive or predictable tasks can. We help you find the right balance between automation and manual control.

We implement rollback procedures, alerts, and staging environments to minimize risk and enable quick recovery.

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