Shipping Reliable Software, Repeatedly

DevOps isn't a team at Nexis Limited — it's a practice embedded into how every engineer works. Every developer understands containerization, CI/CD pipelines, and production monitoring because they're responsible for the code they write, from commit to production.

The Nexis Deployment Pipeline

Here's exactly how code moves from a developer's machine to production at Nexis:

Step 1: Local Development with Docker

Every Nexis project includes a docker-compose.yml for local development. PostgreSQL, Redis, and any dependent services run in containers locally, ensuring every developer has an identical environment regardless of their operating system.

Step 2: Push & Automated Checks

When code is pushed to GitHub, our CI pipeline (GitHub Actions) runs automatically:

  • Linting — ESLint for TypeScript, golangci-lint for Go, Ruff for Python
  • Type checking — TypeScript strict mode, Go's built-in type system
  • Unit tests — Jest for TypeScript, Go's testing package
  • Integration tests — tests against real database instances spun up in CI
  • Security scanning — dependency vulnerability checks with Trivy

Step 3: Build & Push Container Image

If all checks pass, the pipeline builds a Docker image using multi-stage builds (separating build dependencies from runtime) and pushes it to our container registry with a semantic version tag.

Step 4: Deploy to Staging

The staging environment mirrors production. Automatic deployment to staging happens on every successful main branch build. The team reviews the changes in a production-like environment before approving production deployment.

Step 5: Production Deployment

Production deployments use rolling updates in Kubernetes. New pods are started with the new image, health checks run, and traffic is gradually shifted. If health checks fail, the deployment automatically rolls back.

Infrastructure as Code

All Nexis infrastructure is defined in Terraform:

  • VPC configuration, subnets, security groups
  • Kubernetes cluster provisioning (EKS/GKE)
  • Database instances and backup policies
  • DNS records and SSL certificates
  • Monitoring and alerting configuration

Infrastructure changes go through the same pull request review process as application code.

Monitoring in Production

Running software in production without monitoring is flying blind. Nexis monitors every production service with:

  • Application metrics — request latency, error rates, throughput (RED method)
  • Infrastructure metrics — CPU, memory, disk, network across all nodes
  • Business metrics — user signups, API usage, feature adoption
  • Alerting — PagerDuty for critical alerts, Slack for informational notifications

Incident Response

When issues occur in production (and they always do), Nexis follows a structured incident response process:

  1. Detect — automated monitoring catches the issue, or a user reports it
  2. Triage — classify severity and assign an on-call engineer
  3. Mitigate — restore service first (rollback, scaling, failover)
  4. Root cause — after service is restored, investigate and document the root cause
  5. Prevent — implement changes to prevent recurrence (code fix, monitoring improvement, process change)

Results

These DevOps practices enable Nexis to:

  • Deploy to production multiple times per day with confidence
  • Maintain 99.9%+ uptime for SaaS products
  • Detect and resolve production issues within minutes
  • Onboard new developers who can ship code within their first week

Need DevOps expertise for your project? Nexis can help set up your CI/CD pipeline and production infrastructure.