GitOps • Kubernetes • FinOps Cloud Engineering

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

AWS Well-Architected CKA Certified Kubernetes SOC 2 Type II Compliant FinOps Certified Practitioners
iac-pipeline-worker // us-east-1 // live
SYNCED
09:48:10 [IAC] Terraform v1.8.4 init: S3 remote state lock acquired
09:48:12 [EKS] Cluster Control Plane 1.30: VPC CNI & Cilium active
09:48:14 [AUTO] Karpenter NodePool: 24 Spot instances allocated (-54% cost)
09:48:17 [GITOPS] ArgoCD sync completed: Canary rollout 10% -> 100% OK
09:48:20 [SEC] Trivy scan: 0 Critical, 0 High vulnerabilities across 14 pods
09:48:22 [OBS] Datadog APM & OpenTelemetry: Ingress P99 latency: 14.2ms
42%
Cloud Spend Reduction

Achieved through automated Karpenter Spot orchestration, right-sizing workloads, and idle asset pruning.

Zero
Downtime Deployments

Automated ArgoCD blue/green pipelines and canary traffic routing with automated health rollback triggers.

100%
Infrastructure as Code

Every resource is declared in version-controlled Terraform or OpenTofu modules with drift detection alerts.

<15s
Automated Rollback MTTR

Real-time Datadog and Prometheus SLO monitoring halts and reverts bad builds before users experience errors.

Engineering Architecture

5-Stage Cloud & DevOps Delivery Pipeline

From bare account governance to production GitOps rollouts, our standardized framework guarantees reliable, auditable, and cost-controlled infrastructure.

Stage 01

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.

AWS Transit Gateway AWS IAM Identity Center Cloud NAT
Stage 02

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.

Terraform OpenTofu Terragrunt TFLint
Stage 03

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.

Amazon EKS Karpenter Cilium eBPF KEDA
Stage 04

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.

ArgoCD GitHub Actions Helm & Kustomize Argo Rollouts
Stage 05

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.

Datadog Prometheus & Grafana OpenTelemetry Kubecost
Engineering Capabilities

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.

AWS / Azure / GCP Cross-Cloud VPN

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.

EKS 1.30 GKE Autopilot Cert-Manager

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.

ArgoCD Canary Rollouts GitHub Actions

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.

HashiCorp Vault Trivy CIS Hardening

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.

Karpenter Spot Kubecost Rightsizing

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.

Datadog APM OpenTelemetry Prometheus
Declarative Infrastructure

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
Engineering Standards

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.
Ecosystem Support

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.

AWS Google Cloud Microsoft Azure Cloudflare Hetzner Cloud
Containers & IaC

Immutable infrastructure definitions and container engines.

Terraform OpenTofu Kubernetes Karpenter Docker Helm 3 Bottlerocket
GitOps & CI/CD

Automated testing, image building, and release pipelines.

ArgoCD GitHub Actions GitLab CI Argo Rollouts FluxCD CircleCI
Sec & Observability

Telemetry, zero-trust networking, and vulnerability auditing.

Datadog Prometheus Grafana Cilium eBPF Trivy HashiCorp Vault Kubecost
Technical Questions

Frequently Asked Engineering Questions

Real answers to the practical concerns engineering leaders have about migrations, security, and costs.

We use an asynchronous dual-write and continuous change data capture (CDC) methodology. For relational databases (PostgreSQL/MySQL), we configure continuous logical replication between the legacy environment and the new AWS RDS/Aurora or GCP Cloud SQL instance. Once replication lag reaches sub-second thresholds, we execute a DNS-level weighted cutover using Route53 or Cloudflare. Backend microservices retry during the 2-second connection switch, ensuring zero dropped transactions and zero user-facing downtime.

Most cloud waste comes from three areas: over-provisioned CPU/memory requests that prevent bin-packing, continuously running on-demand instances instead of Spot instances, and idle staging environments. We deploy Karpenter to dynamically provision exact-sized Spot worker nodes that shut down the second pods finish. We also configure KEDA to scale down non-production environments to zero outside of business hours, and install Kubecost to give team leads real-time visibility into wasteful allocations.

The legacy Kubernetes Cluster Autoscaler operates by resizing AWS Auto Scaling Groups (ASGs). When a spike occurs, it takes 3 to 6 minutes to evaluate ASGs, negotiate with EC2, and boot a general-purpose node. Karpenter bypasses ASGs completely, communicating directly with EC2 Fleet APIs to provision exact right-sized Bottlerocket nodes in under 45 seconds. Furthermore, Karpenter continuously evaluates the cluster to consolidate underutilized nodes, saving thousands of dollars monthly.

We eliminate static API keys, database passwords, and SSH keys. All secrets are stored in HashiCorp Vault or AWS Secrets Manager with automatic 30-day rotation. Kubernetes workloads authenticate via IAM Roles for Service Accounts (IRSA) with ephemeral STS tokens. For SOC 2, we implement automated CIS benchmark audits, enforce AWS KMS encryption for all volumes at rest, and deploy Cilium eBPF with WireGuard for mutual node-to-node encryption in transit.

Yes. We do not build proprietary black boxes. Every line of Terraform and Kubernetes manifest is checked into your own GitHub repository with comprehensive README documentation, architectural diagrams, and automated linting. Before project completion, our principal SREs lead paired architecture walkthroughs and live disaster-recovery drill simulations with your team to ensure 100% operational confidence.
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