DevOps & Cloud Scale

Cloud DevOps & Kubernetes & Multi-Region Scale

Engineered for scaling enterprises, regulated fintechs, and high-availability SaaS platforms transitioning to automated, reproducible cloud infrastructure.

Delivery Timeline 3–4 Weeks
Primary Engagement DevOps & Cloud Scale
Target Audience CTOs, VP of Infrastructure, Site Reliability Engineers
Layered Technical Architecture

Production System Blueprint

Modular, horizontally scalable infrastructure engineered for resilience, high throughput, and zero single points of failure.

Layer 01

Frontend & Presentation

Grafana monitoring dashboards, ArgoCD continuous deployment portal

Layer 02

Backend & API Services

Terraform / OpenTofu modules, Helm charts, Dockerized microservice workloads

Layer 03

Database & State Layer

AWS Aurora Multi-AZ / Cloud SQL, Redis clusters with automated failover

Layer 04

Cloud & DevOps Pipeline

AWS / GCP, Kubernetes (EKS/GKE), Istio Service Mesh, HashiCorp Vault

Verified Performance Metrics

Live Production Benchmarks

Every system built by MIHA Technologies is instrumented with rigorous automated latency, throughput, and reliability SLAs.

99.99%
Four Nines
Platform Availability SLA

Multi-AZ redundant pod distribution with automated health probing.

< 90 seconds
< 5 minutes
Deployment Recovery Time (MTTR)

Automated ArgoCD rollbacks triggered on canary metric degradation.

18 seconds
< 45 seconds
Autoscaling Reaction Time

KEDA event-driven autoscaling based on queue length and CPU saturation.

100% Code
Zero Manual Ops
Infrastructure Provisioning

Complete Terraform IaC allowing full disaster recovery recreation in minutes.

Engineering Rationale

Architectural Trade-Off Matrix

Deliberate technology selections evaluated on operational complexity, infrastructure cost, and developer velocity.

Continuous Deployment Model

Zero human deployment error and complete audit trail for compliance.
Chosen Implementation
Declarative GitOps with ArgoCD & GitHub Actions
Alternative Evaluated
Imperative SSH scripts or manual kubectl deploys

Ensures the Git repository is the absolute single source of truth, enabling automated drift detection and instant one-click rollbacks.

Secrets Management

SOC2 and ISO 27001 readiness out of the box.
Chosen Implementation
HashiCorp Vault / AWS Secrets Manager with External Secrets Operator
Alternative Evaluated
Kubernetes native unencrypted Base64 secrets

Eliminates plain-text secret exposure in git repositories and enables automatic credential rotation.

Ingress & Traffic Routing

Zero certificate expiration incidents and low egress latency.
Chosen Implementation
Traefik / Envoy API Gateway with Let's Encrypt automated TLS
Alternative Evaluated
Basic cloud load balancer with manual SSL renewal

Provides dynamic route discovery, rate limiting, and automated certificate management without human intervention.

Agile Execution

Sprint Delivery Roadmap

Fixed-sprint engineering milestone cadence designed for full visibility and rapid production deployment.

Sprint Week 1

Phase 1: Terraform Foundations & Network Topology

  • Modular Terraform / OpenTofu codebase for VPC, subnets, and NAT gateways
  • Multi-AZ Kubernetes cluster provisioning (AWS EKS or GCP GKE)
  • Bastion host and private peering connection architecture
Sprint Week 2

Phase 2: GitOps CI/CD & Cluster Ingress

  • ArgoCD deployment with declarative application manifests
  • Ingress controller setup with automated SSL certification
  • GitHub Actions pipeline building and signing Docker images
Sprint Week 3

Phase 3: Observability & Alerting Matrix

  • Prometheus operator and Grafana executive dashboards
  • Loki / Fluentbit centralized log aggregation
  • Slack / PagerDuty alert notification routing
Sprint Week 4

Phase 4: Chaos Engineering & Disaster Recovery

  • Simulated node failure and automated pod rescheduling verification
  • Automated database snapshot backup and restore drills
  • Comprehensive runbook and operational architecture documentation
Hardened Infrastructure

Security & Compliance Standards

Military-grade protection built into the application data flow from day one.

Kubernetes NetworkPolicies isolating pod-to-pod east-west traffic
Immutable distroless containers running as non-privileged users
Static code scanning via SonarQube and container image scanning via Trivy
AWS IAM Roles for Service Accounts (IRSA) enforcing least privilege access
Technical Inquiries

Frequently Asked Questions

Deep technical answers regarding integration, scale, and operational handover.

Can this infrastructure be deployed on our own AWS or GCP account?

Yes. We deploy directly into your cloud organization using your existing AWS/GCP credentials and IAM roles, ensuring you maintain 100% control over billing, data, and access.

How do you prevent cloud bill shocks when scaling?

We implement Kubernetes resource requests/limits, Karpenter dynamic node autoscaling with Spot Instances (saving up to 70%), and automated AWS Budget alerts.

Will our internal team be able to operate this after handover?

Yes. We provide complete Terraform documentation, architectural diagrams, developer onboarding guides, and recorded technical walkthrough sessions with your engineering team.

Ready to engineer your production system?

Speak directly with our senior infrastructure architects to review your technical specs, stack requirements, and sprint timeline.

Schedule Architecture Consultation →