DevOps & CI/CD Automation
- Commit to production on autopilot
- GitOps with Argo CD and Terraform
- DevSecOps scanning built into every pipeline
- DORA metrics tracked from day one
Why DevOps & CI/CD with VN Softverg
Slow, manual releases cost more than time. They create risk, frustrate developers and delay features your customers are waiting for. Our DevOps engineers automate the path from commit to production so every change is built, tested, scanned and deployed the same way, every time.
We implement CI/CD with GitHub Actions, GitLab CI, Azure DevOps or Jenkins, manage infrastructure with Terraform and GitOps tools like Argo CD, and run containers on Kubernetes with sensible defaults for scaling, secrets and rollouts. Security checks shift left into the pipeline, and observability with Prometheus, Grafana and OpenTelemetry shows what is happening in production.
We measure progress with the DORA metrics (deployment frequency, lead time, change failure rate and time to restore) so improvements are visible to engineering and business leaders alike.
Everything you need, under one roof
CI/CD Pipeline Engineering
Build, test and deploy pipelines with caching, parallel jobs and environment promotion, so releases become routine instead of risky events.
- Pipeline-as-code templates
- Environment promotion strategy
- Release and rollback runbook
Infrastructure as Code
Every environment defined in version-controlled Terraform, Pulumi or CloudFormation modules with automated plan reviews and drift detection.
- Reusable IaC module library
- Remote state and locking setup
- Drift detection workflow
Kubernetes & Containers
Production-ready clusters on EKS, AKS, GKE or self-managed Kubernetes with Helm, autoscaling, ingress, secrets management and progressive delivery.
- Dockerfiles and Helm charts
- Cluster baseline configuration
- Autoscaling and resource policies
GitOps & Release Strategies
Declarative deployments with Argo CD or Flux, plus blue-green and canary rollouts with Argo Rollouts so bad releases are caught early and reverted fast.
- GitOps repository structure
- Canary / blue-green configuration
- Automated rollback rules
DevSecOps
SAST, dependency, container and IaC scanning in the pipeline with tools like SonarQube, Trivy, Snyk and Checkov, plus secrets management with Vault or cloud-native stores.
- Security scanning stages
- Secrets management setup
- Vulnerability triage workflow
Observability & SRE
Metrics, logs and traces with Prometheus, Grafana, Loki and OpenTelemetry, along with SLOs, actionable alerts and on-call routing to Slack, Teams or PagerDuty.
- Service dashboards
- SLO and alerting definitions
- Incident response runbooks
Measurable from day one
Target cadence for teams moving from manual releases to automated pipelines.
Goal from merged commit to production for standard application changes.
Aligned with DORA high-performer benchmarks, tracked per service.
Goal for rolling back or recovering from a failed deployment.
A clear path from kickoff to results
Assess
Review current build, release and infrastructure practices and baseline the DORA metrics.
Design
Define the target toolchain, branching strategy, environments and pipeline templates.
Automate
Implement pipelines, IaC, container platforms and security scanning, starting with a pilot service.
Observe
Add monitoring, logging, tracing and SLO-based alerting so teams can see and fix issues quickly.
Scale & Enable
Roll patterns out across teams, document golden paths and train engineers to own them.
The right stack for the job
- Faster, more frequent releases with less manual effort
- Fewer production incidents thanks to automated testing and rollouts
- Consistent, reproducible environments from dev to production
- Security issues caught in the pipeline, not in production
- Clear visibility into system health and delivery performance
- Happier developers who spend time on features, not deployments
Built for teams like yours
Manual Release Bottlenecks
Teams deploying by hand or via scripts on a single engineer's laptop who need repeatable, auditable pipelines.
Kubernetes Adoption
Organizations moving to containers that need a secure, production-grade cluster and deployment model.
SaaS Scale-Up
Product companies that need multi-environment pipelines, feature flags and zero-downtime releases.
Compliance-Driven Delivery
Regulated businesses that need audit trails, approvals and security scanning built into delivery.
Platform Engineering
Larger engineering groups building an internal developer platform with golden paths and self-service.
No. Kubernetes is powerful but not always necessary. Many teams are better served by managed services such as ECS, App Service or Cloud Run. We recommend the simplest platform that meets your needs.
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