Pipeline from commit to production
CI/CD should build, test, scan and deploy predictably. We set up steps that fit the team’s maturity and control requirements.
DevOps & Automation
DevOps that accelerates delivery
Automated pipelines, containerization and Infrastructure as Code — from commit to production in minutes.
CI/CD Pipelines
GitHub Actions, GitLab CI and Jenkins — automatic test, build and deploy on every commit.
Containerization
Docker with optimized images, multi-stage builds and automatic security scanning.
Infrastructure as Code
Terraform, Pulumi and CloudFormation for reproducible, version-controlled infrastructure.
Kubernetes Orchestration
Managed K8s with auto-scaling, rolling deploys and service mesh for robust services.
Observability
Grafana, Prometheus, Loki and distributed tracing for full insight into system health.
DevSecOps
SAST, DAST, dependency scanning and compliance checks integrated in the CI/CD pipeline.
DevOps transformation
Before
- ✕ Manual deploy with downtime
- ✕ No tests in pipeline
- ✕ Unknown infrastructure status
- ✕ Hours to production
After
- ✓ Zero-downtime deploys
- ✓ 100% test coverage automatically
- ✓ Full observability and alerting
- ✓ Minutes from commit to prod
Tools we master
DockerKubernetesTerraformAnsibleGitHub ActionsGitLab CIArgoCDHelmPrometheusGrafanaDatadogVaultCloudflareNginxTraefik
SEO research for DevOps
DevOps help for teams moving from manual deploys to stable flow
Searches around DevOps, CI/CD, Kubernetes and Docker show that buyers often have specific bottlenecks: slow releases, unstable environments and missing observability. This page answers both advisory and implementation needs.
Search themes we cover
DevOps consultant NorwayCI/CD pipeline helpKubernetes consultant NorwayDocker consultant Norwayplatform engineering Norway
Search intents this page answers
1
Automating releases
Teams want to reduce manual steps, errors and waiting time from commit to production.
2
Stabilizing infrastructure
The page covers containers, IaC, environments, secrets, rollback and operability.
3
Seeing errors and performance clearly
Observability, logging, metrics and alerts help teams find problems before customers do.
Questions before DevOps work
- Where should we start if deploys are still manual?
- Do we need Kubernetes, or is Docker and PaaS enough?
- How do we introduce IaC without stopping delivery?
- How do we measure stability and lead time?
What we set up
- CI/CD pipelines with test, build and deploy
- Docker, Kubernetes, Terraform and GitHub Actions
- Monitoring, logging and alerting
- Secure secrets and environment configuration
DevOps that makes delivery safer, faster and more measurable
Infrastructure as code
Terraform, containers and automated configuration make environments more repeatable. That reduces manual errors and makes changes easier to document.
Observability in practice
Logs, metrics, tracing and alerts should connect to real user problems. The goal is faster debugging, fewer surprises and better prioritization.
Common questions about DevOps
Do we need Kubernetes to work with DevOps?
No. Kubernetes fits some environments, but many teams get strong results from simpler CI/CD, containerization, automated deployment and good monitoring first.
Can you improve an existing pipeline?
Yes. We can review build time, test coverage, secrets, deployment flow, rollback, environments and alerts before proposing concrete improvements.