Arctyx service

Cloud

Secure, scalable cloud infrastructure for AI, data, and modern applications

We design, migrate, and manage cloud environments that give your business a reliable foundation for growth. From Google Cloud architecture and security hardening to DevOps pipelines, Kubernetes, monitoring, and cost optimization, we build cloud systems that are stable, secure, and ready to scale.

Plan Your Cloud View portfolio

GCP

Cloud Foundation

IaC

Repeatable Infrastructure

24/7

Monitoring Ready

What this includes

Built around practical business outcomes

Cloud Architecture & Migration

Plan cloud environments, migrate workloads, modernize infrastructure, and design scalable foundations for apps, AI, and data systems.

Google Cloud Platform Setup

Configure Google Cloud projects, networks, managed services, storage, databases, identity, deployment targets, and cost controls.

Cloud Security & IAM Hardening

Harden permissions, service accounts, secrets, network access, logging, monitoring, and security posture across cloud resources.

DevOps & CI/CD Automation

Build deployment pipelines, infrastructure as code, preview environments, release workflows, and rollback-friendly delivery systems.

Kubernetes & Container Operations

Containerize workloads, configure clusters, manage scaling, observability, networking, and production operations for Kubernetes systems.

Monitoring, Reliability & Cost Optimization

Track performance, uptime, logs, incidents, resource usage, and cloud spend so systems remain reliable without unnecessary waste.

Delivery path

Our Cloud Delivery Process

See how releases move through CI/CD, security checks, container orchestration, monitoring, and production operations without fragile manual deployment work.

Infrastructure Assessment

Review current systems, risks, costs, workloads, deployment flow, security posture, and growth requirements.

Architecture Design

Design the cloud foundation, network model, access controls, services, environments, and migration path.

Infrastructure Build

Provision cloud resources, infrastructure as code, pipelines, monitoring, secrets, and deployment targets.

Migration & Launch

Move workloads, test reliability, validate security controls, and launch with clear rollback and support paths.

Optimize & Operate

Improve cost, performance, observability, automation, and scaling as production usage grows.

In practice

Cloud Infrastructure in Action

We build cloud environments that move releases through CI/CD, security checks, container orchestration, monitoring, and production operations without fragile manual deployment work.

Live deployment state

Code package enters the deployment pipeline.

Source is packaged and prepared for deployment.

Automated tests validate the release before it moves forward.

Security checks inspect dependencies, secrets, and cloud policy.

Deployment pipeline promotes the release to cloud infrastructure.

Cloud resources are provisioned with secure access and network controls.

Container workloads scale across the Kubernetes cluster.

Monitoring captures logs, metrics, health, and production alerts.

Production is live, observable, and ready for user traffic.

Cloud formation complete: secure infrastructure is unified and operating.

Secure by default

Automated releases

Observable production

Cloud formation complete

Source

release.yml

docker build

terraform plan

CI/CD pipeline

Build

Package app

Test

Validate release

Scan

Security gate

Deploy

Release safely

GCP foundation

Network, identity, data, observability

Secure

IAM

VPC

Logs

Kubernetes cluster

Container workloads scale safely

Monitoring

Logs, metrics, alerts, and uptime

Production

Live endpoint receiving traffic

Live

More services

Explore the rest of the stack

All services

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