DevOps & Automation
Ship faster.
Break nothing.
We design and implement fully automated DevOps pipelines — from code commit to production deployment — using industry-leading tools and Infrastructure as Code principles.
Stage 01
Source
Git · GitHub · GitLab
Stage 02
Build
Docker · Go · Jenkins
Stage 03
Test
Unit · Integration · SAST
Stage 04
Package
Container Registry · Helm
Stage 05
Deploy
Kubernetes · Terraform
Stage 06
Monitor
Prometheus · Grafana
Containerisation
Docker-first architecture for consistent, portable environments. Custom multi-stage builds, private registries and image security scanning.
Kubernetes Orchestration
Production-grade K8s cluster design on AKS, EKS and GKE. Auto-scaling, rolling deployments, Helm chart management, RBAC and namespace isolation.
Infrastructure as Code
Terraform modules for repeatable, version-controlled cloud infrastructure across AWS, Azure and GCP. State management, remote backends and drift detection.
Go Lang Tooling
High-performance automation tools, CLI utilities and microservices in Go. Lightning-fast compile times and minimal runtime footprint for DevOps workflows.
CI/CD Pipelines
End-to-end automated pipelines via GitHub Actions, GitLab CI and Jenkins. Branch strategies, environment gates, automated rollbacks and full audit trails.
Configuration Management
Ansible playbooks for zero-touch server provisioning, configuration drift remediation and compliance enforcement across hybrid cloud environments.
Infrastructure as Code
Cloud infra.
Defined in code.
Every server, network rule and Kubernetes cluster is defined in version-controlled Terraform — reproducible, auditable and deployable in minutes.
# deveroitsolutions.com — Terraform IaC
provider "azurerm" {
features {}
subscription_id = var.subscription_id
}
module "k8s_cluster" {
source = "./modules/aks"
cluster_name = "devero-prod"
node_count = 3
vm_size = "Standard_D4s_v3"
environment = "production"
}
resource "azurerm_kubernetes_cluster" "main" {
name = local.cluster_name
location = var.location
resource_group_name = azurerm_resource_group.main.name
default_node_pool {
name = "default"
node_count = var.node_count
vm_size = var.vm_size
}
}
