HIVOLTG
Cloud Architecture & DevOps

Cloud Architecture & DevOps for systems that must not fail.

Architecture, migrations, and CI/CD automation for production-grade Google Cloud platforms that stay stable as your traffic and team scale.

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  • Production-first architecture
  • Faster release velocity
  • Lower operational risk
Terraform-firstKubernetes-nativeSRE-mindedSecurity baselinesCost controls

Reference Architecture

[ Users ]
    |
[ Global LB ]
    |
[ GKE Services ]---[ Cloud SQL ]
    |
[ Pub/Sub ]---[ Observability Stack ]

CI/CD Pipeline

GitHub -> Actions -> Docker Build
          -> Artifact Registry -> GKE Deploy

Trusted Tools Across The Delivery Stack

  • Google Cloud

    Platform

  • Kubernetes

    Orchestration

  • Terraform

    Infrastructure

  • Docker

    Containers

  • GitHub Actions

    CI/CD

  • Supabase

    Data

Problems We Solve

From operational fire drills to stable delivery.

What Teams Are Facing

  • Failed migrations
  • Slow CI/CD
  • Rising cloud costs
  • Breaks under load

What We Deliver

  • Resilient architecture
  • Automated deployments
  • Cost optimization
  • Production monitoring

Core Services

Architecture, DevOps, and reliability engineering.

Modular service tracks designed for modernization programs and production operations.

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Track 1

GCP Architecture & Migration

  • Landing zone
  • IaC (Terraform)
  • GKE-ready
Track 2

DevOps & CI/CD Modernization

  • Pipelines & gates
  • Safe releases
  • Rollback strategy
Track 3

Security & Observability

  • IAM & secrets
  • Logging/metrics/tracing
  • Alerting that matters

How We Build Cloud Systems

Reference architectures and delivery pipelines you can run on day one.

Client -> Cloud Load Balancer -> GKE
GKE -> Cloud SQL / Redis
GKE -> Pub/Sub -> Workers
All services -> Logging / Metrics / Tracing
  • What it is: A baseline production architecture for reliability.
  • Why it matters: Reduces migration risk and service fragility.
  • What you get: Implementable architecture artifacts and rollout plan.

Case Studies

Delivery proof from real modernization programs.

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Featured Case Study | SaaS

Multi-Region SaaS Migration to GCP

Problem: Legacy deployment topology caused unreliable releases and scaling failures.

Approach: Rebuilt platform on Terraform-managed GCP foundation with GKE and staged cutover plan.

Results

  • Cut deployment risk with staged rollout controls
  • Reduced environment drift through IaC standardization
  • Improved reliability during peak traffic events
Google CloudTerraformGKECloud SQL
Read case study →

B2B Platform

CI/CD Modernization for Faster Safe Releases

Problem: Manual release steps caused long lead times and risky deploy windows.

Approach: Introduced automated pipeline gates, environment promotions, and rollback policy.

Top outcomes

  • Increased release frequency with lower incident risk
  • Standardized promotion workflow across environments
Read case study →

Fintech

Observability Hardening for Incident Response

Problem: Teams lacked clear telemetry and alerting signal during production incidents.

Approach: Implemented unified logs, metrics, tracing, and on-call alert policy with SLO context.

Top outcomes

  • Reduced time-to-detect and time-to-recovery
  • Improved signal quality across alerts
Read case study →

Tech Stack

  • Google Cloud
  • GKE
  • Terraform
  • Docker
  • GitHub Actions
  • Cloud SQL
  • Pub/Sub
  • Supabase
  • OpenTelemetry
  • Prometheus
  • Grafana
  • Sentry

Engagement Model

  1. Step 1

    Architecture Discovery

  2. Step 2

    System Design & Plan

  3. Step 3

    Implementation Sprint

  4. Step 4

    Handover & Reliability Ops

Chris Harris

Chris Harris

Founder — Hivoltg Technology Services

  • Engineering-first
  • No fluff
  • Production reliability

Entry Offer

Cloud Architecture Audit

A focused technical review to identify reliability risks, cost leaks, and modernization priorities.

  • Architecture review
  • Cost optimization
  • Security posture
  • 30–60 day roadmap
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Final Step

Build infrastructure that actually scales.

If your platform is slowing delivery or creating operational risk, we can map a path to resilient architecture and faster releases.

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