Automated GitOps, Zero-Downtime CI/CD and Kubernetes Platforms

Cloud Infrastructure & DevOps With 40% Average Cost Savings

TechAelia designs AWS, GCP, and Kubernetes platforms with 100% infrastructure as code, sub-5 minute disaster recovery drills, and GitOps pipelines that deploy 20+ times per week safely. Clients routinely cut cloud spend by 30% to 50% while improving uptime and observability across multi-account Organizations and multi-region networks. We treat Terraform modules, Helm charts, and pipeline policies as product code: reviewed, versioned, and tested so console drift never becomes the source of truth. From EKS and GKE clusters to Prometheus and Grafana dashboards, every environment ships with actionable alerts, cost guardrails, and runbooks your on-call team can execute without guessing.

Cloud Infrastructure & DevOps
  • 100%

    Infrastructure as Code

  • <5 min

    Disaster Recovery

  • 40%

    Cost Reduction

INFRASTRUCTURE AS CODE

Terraform modules without console drift

Every production resource belongs in version-controlled Terraform. We map multi-account AWS Organizations, GCP projects, and network topologies into reusable modules with remote state, policy checks, and peer review so a manual console change cannot silently diverge from what your team believes is deployed.

  • Modular Terraform for networks, compute, databases, and IAM boundaries
  • Remote state, workspaces, and plan reviews before any production apply
  • Dev and staging zones that mirror production topology without matching spend
  • Drift detection habits that keep the console from becoming the source of truth

KUBERNETES AND GITOPS

Kubernetes platforms with GitOps delivery

Containers only help when deploys are boring. We engineer Docker images, Helm charts, and ArgoCD or GitHub Actions pipelines with security scans and canary gates so EKS, GKE, ECS, and Cloud Run workloads roll forward safely and roll back automatically when error rates spike.

  • EKS, GKE, AKS, ECS, and Cloud Run patterns matched to your workload shape
  • GitHub Actions, GitLab CI, and ArgoCD pipelines with image and dependency scans
  • Rolling updates, health-checked load balancers, and automated rollback thresholds
  • Secrets management, network policies, and autoscaling wired before go-live

COST AND OBSERVABILITY

Cost tuning with full-stack observability

Rightsizing without visibility creates outages. We combine spot capacity, autoscaling, and serverless boundaries with Datadog, Prometheus, Grafana, and CloudWatch dashboards so spend drops while SLO burn rates, queue depth, and latency stay visible to the people who can act.

  • Median 30% to 50% cloud spend reduction after audit and rightsizing
  • Unified metrics, logs, and traces with alerts to Slack or PagerDuty
  • Game-day disaster recovery drills targeting sub-5 minute core rebuilds
  • SLO-oriented dashboards covering CPU, memory, errors, and queue depth

TechAelia · Stack

CAPABILITIES

What we build under this service

Engineering depth across cloud infrastructure & devops, from discovery through production handoff.

Cloud architecture built for zero-downtime scaling, with CI/CD pipelines and infrastructure as code your team can operate after handoff.

  • AWS & Google Cloud Platforms

    Secure multi-account AWS Organizations setups, GCP project hierarchies, multi-region high-availability networks, and private cloud links designed for compliance and blast-radius control.

  • Kubernetes & Containerization

    Dockerized container systems orchestrated via Amazon EKS, Google GKE, or serverless container runtimes such as ECS and Cloud Run, with Helm charts and cluster policies ready for production.

  • GitOps CI/CD Pipelines

    Thoroughly engineered pipelines on GitHub Actions, GitLab CI, and ArgoCD with built-in security scans, canary gates, and automated rollbacks when latency or error budgets burn too fast.

  • Database Redundancy & Backups

    Multi-region replication setups, point-in-time recovery configurations, and cross-account secure backup policies validated in disaster recovery game days, not only documented on paper.

ENGINEERING

Tools and platforms

Modern, vetted stack choices for build, scale, and observability.

  • IaC

    HashiCorp Terraform

    Universal declarative Infrastructure as Code to manage AWS, GCP, and Azure resources safely with modules and remote state.

  • Containers

    Kubernetes (EKS/GKE)

    Scalable container orchestration that ensures service redundancy, self-healing, and policy-controlled cluster operations.

  • CI/CD

    GitHub Actions

    Automated test runs, build generation, security scans, and deployments triggered on every PR merge with rollback hooks.

  • Observability

    Prometheus & Grafana

    Real-time metrics scraping and detailed telemetry monitoring dashboards with SLO burn-rate alerts your team can act on.

PROCESS

Production pipeline

How we move from architecture to live operations.

  1. 01

    Phase 01 · Weeks 1-2

    Access & Cost Audit

    We review your active cloud spend, security permissions, architecture weaknesses, and quick wins that can cut cost without redesigning everything.

    Deliverables

    • Access review report
    • Immediate cost savings map
  2. 02

    Phase 02 · Weeks 3-5

    Terraform Mapping

    We write clean, modular Terraform files that map your full system topography into version-controlled modules with staging parity.

    Deliverables

    • Complete IaC code repository
    • Configured dev/staging zones
  3. 03

    Phase 03 · Weeks 6-9

    GitOps Automation

    We build secure CI/CD pipelines with container scans, canary gates, and auto-rollback policies on deploy failure or SLO burn.

    Deliverables

    • Fully automated deployment scripts
    • Container scan hooks
  4. 04

    Phase 04 · Weeks 10-12

    Observability Go-Live

    We stand up Grafana dashboard suites, configure Slack or PagerDuty alerts, and validate disaster recovery runbooks in a game day.

    Deliverables

    • Configured alerting systems
    • Disaster recovery runbooks
WHY TECHAELIA

Why Choose TechAelia Cloud Operations?

What sets our delivery apart on engagements like yours.

  • Exhaustive IaC (Terraform)

    Every cloud resource is defined in version-controlled Terraform modules with remote state and peer-reviewed plans. No manual AWS console changes become the unofficial production configuration.

  • Fully Observable Systems

    Unified dashboards tracking metrics, structured logs, and request traces using Datadog, Prometheus, and Grafana, with alerts routed to Slack or PagerDuty your on-call team will actually use.

  • Automated Cost Tuning

    Dynamic autoscaling rules, spot instance integration, and compute optimization to reduce monthly cloud spend by 30% to 50% without sacrificing the uptime targets your customers feel.

PROOF

Related case studies

Real outcomes from our cloud practice.

All case studies
FAQ

Common questions

Timelines, security, and how we deliver cloud infrastructure & devops with your team in the loop.

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  • We perform a thorough audit of your infrastructure, identify underutilized instances, implement autoscaling groups, set up serverless compute boundaries, and migrate dev environments to spot instances, typically reducing monthly costs by 30% to 50%.

  • We are platform-agnostic but strongly prefer GitHub Actions, GitLab CI, and ArgoCD for continuous GitOps delivery.

  • We work across AWS, Google Cloud, and Azure. Multi-cloud and hybrid setups are supported when compliance or redundancy requires it. Provider choice is driven by your existing contracts, regions, and service availability.

  • We use rolling updates, health-checked load balancers, database migration strategies compatible with live traffic, and automated rollbacks when error rates or latency spike beyond agreed thresholds.

  • Yes. We design Docker images, Helm charts, and cluster policies for EKS, GKE, or AKS. Autoscaling, secrets management, and network policies are configured so production clusters stay observable and secure.

  • We integrate Prometheus, Grafana, CloudWatch, or Datadog with actionable alerts routed to Slack, PagerDuty, or email. Dashboards cover CPU, memory, queue depth, error rates, and SLO burn rates your team can act on.

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