Haliviq

Cloud Architecture
That Scales With You

If your systems still live in a server room, or are spread across several cloud accounts that nobody fully understands, this is where we start. Haliviq plans and carries out the move to AWS, Google Cloud or Azure, tidies the architecture, and sets up cost tracking so the monthly bill stays predictable. Migrations are done in phases with a way back at every step, and everything is monitored from the first day.

Get Started

We design and run cloud platforms that scale and keep costs predictable from the first day. The work includes moving off on-premises systems, merging scattered multi-cloud accounts into one governed environment, and operating production Kubernetes. Security, compliance, infrastructure automation, networking, identity, observability and cost control are part of the architecture itself rather than patches applied after an outage. Typical clients are Thai companies with a data centre contract coming up for renewal, a cloud bill that keeps growing, or a product team that has outgrown its first deployment setup.

Capabilities

Key Capabilities

Concrete capabilities we bring to this engagement — not buzzwords.

Migration & Cutover

Planned waves with data validation, side-by-side running and a written rollback for every cutover.

Multi-Cloud & Hybrid

More than one provider only where regulation, risk or a specific service justifies it, with portable tooling to limit lock-in.

FinOps & Cost Control

Right-sizing, reserved capacity and tagging, with monthly reports by team and product so spend is visible and owned.

Cloud Security Posture

Least-privilege identity, segmented networks, secrets management and automated checks for configuration drift.

Kubernetes Operations

Managed clusters with autoscaling and self-healing, plus the patching and on-call routines that keep production steady.

Observability

Metrics, logs and traces with alerts routed to the right person before customers notice a problem.

Tools We Use

Technologies We Use

Proven cloud platforms and infrastructure tools we apply where they fit — chosen for the problem, not the trend cycle.

AWSGoogle CloudAzureKubernetesDockerTerraformPulumiHelm

How We Work

Our Approach

A clear path from assessment to steady-state operations — adjusted per platform, never one-size-fits-all.

01

Assessment

Workloads, dependencies and migration risk

02

Planning

Landing zone and wave-by-wave sequence

03

Migration

Transfer, verify, then switch over

04

Optimize

Cost, throughput and resilience

05

Observe

Monitoring and operational runbooks

06

Support

Ongoing platform operations

FAQ

Straight answers about how we run cloud platforms.

AWS, Google Cloud, and Azure, with Kubernetes, Docker, Terraform, Pulumi, and Helm for infrastructure as code. We pick the platform and toolset pragmatically based on your team's existing skills and workload requirements — not a house preference we push on every client.

Yes. Every migration plan includes predetermined rollback checkpoints, pre-cutover rehearsals, and a period of parallel system operation until validation confirms the new environment is stable. If something goes wrong mid-cutover, we roll back to the known-good state rather than pushing through.

In almost every engagement, yes. Cost considerations inform every architecture decision from the start, and our FinOps reviews typically identify 20-40% in savings through instance right-sizing, unused resource elimination, and storage tier optimization before we even propose any structural changes.

Secure by default: least-privilege IAM, network isolation, secrets management, and audit logging are part of the initial architecture, not bolted on afterward. We build in comprehensive monitoring from day one so anomalies get caught early, not discovered during an incident review.

Yes, when there is a real business reason for it — regulatory requirements, vendor risk diversification, or workload-specific strengths. We are explicit about the added operational complexity multi-cloud brings, and we do not recommend it just because it sounds more resilient on paper.

A single-application migration with moderate complexity usually takes 6-10 weeks from assessment to cutover. A full data-center exit or large-scale multi-cloud consolidation can run 4-9 months, phased so that each application group is validated in production before the next one begins.

We containerize incrementally, starting with stateless services that benefit most from autoscaling, and build the platform around your existing CI/CD rather than forcing a rewrite. Legacy systems that are not good Kubernetes candidates stay on their current infrastructure until it makes sense to move them.

You do, entirely. All Terraform/Pulumi code, CI/CD pipelines, and documentation live in your own repositories and cloud accounts from day one — we work inside your environment rather than a separate one we control, so there is no migration needed at handover.

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