Enterprise Cloud &
DevOps Infrastructure.
Architecting immutable, multi-cloud platforms using Terraform IaC, production Kubernetes (EKS, GKE, AKS), and GitOps pipelines. We engineer zero-downtime canary deployments, enforce SOC 2 DevSecOps baselines, and slash infrastructure spend with FinOps autoscaling.
Multi-Cloud Certified Engineering Standard
Achieved through automated Karpenter Spot orchestration, right-sizing workloads, and idle asset pruning.
Automated ArgoCD blue/green pipelines and canary traffic routing with automated health rollback triggers.
Every resource is declared in version-controlled Terraform or OpenTofu modules with drift detection alerts.
Real-time Datadog and Prometheus SLO monitoring halts and reverts bad builds before users experience errors.
5-Stage Cloud & DevOps Delivery Pipeline
From bare account governance to production GitOps rollouts, our standardized framework guarantees reliable, auditable, and cost-controlled infrastructure.
VPC Architecture & IAM Zoning
We design multi-AZ, multi-account structures (AWS Organizations / GCP Folders). Strict least-privilege IAM policies, private subnets, Transit Gateways, and zero public IP exposure for backend databases.
Immutable Infrastructure as Code
All cloud assets defined via modular Terraform or OpenTofu. Remote state locking in encrypted S3/GCS with DynamoDB state locks, automated CI linting (TFLint, Trivy), and drift detection.
Production Kubernetes & Karpenter
Production-grade EKS, GKE, or AKS clusters configured with Karpenter for sub-minute node provisioning. Cilium eBPF network security, KEDA event-driven autoscaling, and Bottlerocket OS nodes.
GitOps & Continuous Delivery (ArgoCD)
Eliminate cluster access for developers with pull-based GitOps. Pull requests trigger container vulnerability scans, automated tests, and build artifacts to private registries. ArgoCD executes progressive canary rollouts with automated Prometheus metric verification.
Full-Stack Observability & FinOps Governance
Unified metric, log, and distributed trace aggregation with Datadog, Grafana, and OpenTelemetry. Kubecost integration allocates cloud expenses per microservice team, while auto-scaling rules reclaim idle GPU and CPU nodes during off-peak hours.
Engineered for High-Load Environments
Whether you are migrating legacy monoliths to Kubernetes or scaling an AI product past 100M requests per day, our infrastructure engineers build for resilience.
Multi-Cloud & Hybrid Architecture
Seamless infrastructure spanning AWS, Azure, and Google Cloud Platform. We build unified transit networking, multi-region failover, and avoid proprietary vendor lock-in through vendor-neutral IaC.
Production Kubernetes (EKS / GKE)
Hardened container orchestrators ready for high-concurrency workloads. Automated cluster upgrades, pod disruption budgets, resource quotas, and ingress controllers with TLS automation. Inspect our SaaS scaling architecture case study to examine database sharding and auto-scaling configurations.
GitOps & Zero-Downtime CI/CD
Automated delivery pipelines that allow engineering teams to ship code 20x more frequently. Blue/green shifts, progressive canary deployments, and single-click automated rollbacks.
DevSecOps & SOC 2 Compliance
Shift-left security with automated Trivy container scans, HashiCorp Vault secrets injection, IAM boundary policies, and CIS benchmark cluster hardening for SOC 2, ISO 27001, and HIPAA audits.
FinOps & Cloud Cost Optimization
Stop burning capital on oversized clusters. We configure Karpenter Spot instance fallbacks, rightsize CPU/memory request allocations, eliminate unattached EBS volumes, and configure savings plans.
SRE & Distributed Observability
Real-time visibility into microservice latency, database query bottlenecks, and error budgets. Custom Grafana and Datadog dashboards with automated PagerDuty on-call escalation policies.
Production-Ready IaC & Manifests
Inspect the real configuration manifests we write for enterprise clients. Clean, modular, auditable, and automated.
# Production EKS 1.30 Cluster with Karpenter Autoscaling & Bottlerocket OS
module "eks_cluster" {
source = "terraform-aws-modules/eks/aws"
version = "~> 20.0"
cluster_name = "prod-core-cluster-01"
cluster_version = "1.30"
vpc_id = module.vpc.vpc_id
subnet_ids = module.vpc.private_subnets
control_plane_subnet_ids = module.vpc.intra_subnets
cluster_endpoint_public_access = false # Zero public API exposure
cluster_endpoint_private_access = true
cluster_addons = {
coredns = { most_recent = true }
kube-proxy = { most_recent = true }
vpc-cni = { most_recent = true }
}
# Karpenter NodePool Configuration with Spot Fallback (-54% bill)
karpenter = {
enable_spot_termination_handler = true
ami_type = "BOTTLEROCKET_x86_64"
instance_categories = ["m", "c", "r"]
capacity_types = ["spot", "on-demand"]
max_cpu_limit = 200
max_memory_limit = "800Gi"
}
}
# Zero-Downtime Canary Rollout with Automated Prometheus Metric Analysis
apiVersion: argoproj.io/v1alpha1
kind: Rollout
metadata:
name: core-api-service
spec:
replicas: 20
strategy:
canary:
analysis:
templates:
- templateName: success-rate-http
args:
- name: service-name
value: core-api-service
steps:
- setWeight: 10
- pause: { duration: 5m } # Monitor latency & 5xx error spikes
- setWeight: 30
- pause: { duration: 10m }
- setWeight: 60
- pause: { duration: 5m }
- setWeight: 100
# GitHub Actions DevSecOps Pipeline: Lint, Trivy Scan, Helm Package
name: DevSecOps Continuous Delivery
on:
push:
branches: [main]
jobs:
build-and-gate:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Trivy Container Vulnerability Scan
uses: aquasecurity/trivy-action@master
with:
image-ref: '${{ secrets.ECR_REGISTRY }}/core-api:${{ github.sha }}'
exit-code: '1' # Fail pipeline on Critical CVE
severity: 'CRITICAL,HIGH'
- name: GitOps Manifest Update
run: |
git clone https://${{ secrets.GITOPS_TOKEN }}@github.com/org/gitops-fleet.git
cd gitops-fleet/apps/core-api
sed -i 's/tag: .*/tag: ${{ github.sha }}/' values.yaml
git commit -am "chore(release): bump core-api to ${{ github.sha }}"
git push origin main
# Cilium eBPF L7 Zero-Trust Network Policy: Restrict East-West Pod Traffic
apiVersion: "cilium.io/v2"
kind: CiliumNetworkPolicy
metadata:
name: restrict-payment-service-l7
spec:
endpointSelector:
matchLabels:
app: payment-gateway
ingress:
- fromEndpoints:
- matchLabels:
app: checkout-frontend
toPorts:
- ports:
- port: "8080"
protocol: TCP
rules:
http:
- method: "POST"
path: "/v1/charges" # Disallow all other verbs and endpoints
Comparing DevOps Implementations
Why engineering leaders choose Acadify over traditional in-house maintenance or generic agency boilerplates.
| Engineering Dimension | Manual / Ad-Hoc Setup | Generic Agency Templates | Acadify Cloud Standard |
|---|---|---|---|
| Infrastructure Versioning | Console clicks ("ClickOps"), undocumented manual server configs. | Flat unmodularized Terraform scripts; manual state locking. | 100% Modular IaC with remote S3 DynamoDB state locks, drift alerting, and Terragrunt DRY patterns. |
| Kubernetes Autoscaling | Static EC2/VM instances; cluster runs out of memory or sits 80% idle. | Default Kubernetes HPA + slow Cluster Autoscaler (3-5 min node boot). | Karpenter Sub-Minute Autoscaling + Spot orchestration with graceful interruption draining. |
| Deployment Strategy | Midnight maintenance windows with user outages and downtime. | Rolling updates without metric verification; broken builds hit production. | ArgoCD GitOps Canary with automated Datadog SLO analysis and 10-second automatic rollback. |
| FinOps & Cost Control | No attribution; bill grows unbounded every month. | Periodic manual spreadsheet audits without automated policy enforcement. | Continuous FinOps Engine: Kubecost attribution per squad, automated spot mix, 35-50% savings guaranteed. |
| Security & DevSecOps | Root AWS credentials shared in Slack; wide-open 0.0.0.0/0 security groups. | Basic static passwords saved in GitHub Actions secrets. | Zero-Trust Architecture: Cilium eBPF L7 filtering, HashiCorp Vault ephemeral credentials, Trivy CI gates. |
| Handoff & Maintainability | Tribal knowledge in engineer heads; breaks when staff leave. | Handed over with minimal documentation; difficult to troubleshoot. | Turnkey Runbooks, automated CI linters, architecture diagrams, and paired training sessions. |
Cloud & DevOps Technology Stack
We build with industry-standard, battle-tested tooling to ensure long-term stability and high engineer hiring velocity.
Cloud Platforms
Enterprise multi-cloud and edge deployment targets.
Containers & IaC
Immutable infrastructure definitions and container engines.
GitOps & CI/CD
Automated testing, image building, and release pipelines.
Sec & Observability
Telemetry, zero-trust networking, and vulnerability auditing.
Frequently Asked Engineering Questions
Real answers to the practical concerns engineering leaders have about migrations, security, and costs.
Modernize Your Cloud & DevOps Pipeline.
Schedule an infrastructure review with an Acadify Principal Cloud Architect. We will audit your current cloud spend, security posture, and CI/CD bottlenecks in 30 minutes.