AWS, GCP, or Azure — which should we use?

Whichever fits your team, workloads, and constraints. We're not tied to one provider; most of our production work runs on AWS, but we design for the right fit.

Do we need Kubernetes?

Not always. For many teams, managed container services (like AWS ECS) are simpler and cheaper to run. We recommend Kubernetes only when the complexity genuinely earns it.

Will this reduce our cloud bill?

Usually, yes — right-sizing, auto-scaling, and managed services cut waste. We build cost monitoring in so spend stays proportional to value.

Can our team operate it afterwards?

That's the goal. We deliver infrastructure-as-code, runbooks, observability, and knowledge transfer so your team owns the platform — no lock-in to us.

Greenfield or existing systems?

Both. We build cloud-native from scratch and modernise existing systems onto cloud-native foundations.

Cloud Native Journey

Your end-to-end cloud native transformation, engineered.

From first cloud strategy to a fully cloud-native platform — containers, automation, and managed infrastructure on AWS, GCP, or Azure, delivered by engineers who run it in production.

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Overview

What is a cloud native journey?

A cloud native journey is the end-to-end process of moving how you build and run software toward the cloud's strengths: containers, automation, elastic scale, and managed services. It's bigger than "move servers to AWS" — it's adopting the architecture, tooling, and practices that let a small team operate reliable, scalable systems without a data centre or a 24/7 ops department.

We take you through the whole journey: assessing where you are, designing a target cloud-native architecture, containerising and automating, and standing up the infrastructure-as-code, CI/CD, and observability that make it operable. Whether you're greenfield or modernising, we sequence the work so you get value early and aren't forced into a risky big-bang cutover.

Because we run cloud-native systems in production for real clients — auto-scaling AWS platforms with containers, managed databases, and automated pipelines — our recommendations are grounded in operating reality, not reference diagrams. You finish with a platform your team can actually run, plus the practices to keep evolving it.

How we work

Our cloud native journey process

Assess

We map your current architecture, workloads, and team — and define what cloud-native should mean for you specifically.

Design

A target architecture: containers, networking, data, scaling, and the managed services that remove undifferentiated heavy lifting.

Build

Infrastructure-as-code, containerisation, CI/CD, and observability stood up incrementally — value early, not big-bang.

Migrate

Workloads moved in slices with rollback paths, so nothing critical depends on a single cutover.

Operate

Runbooks, monitoring, cost controls, and knowledge transfer so your team owns the platform confidently.

Benefits

Why go cloud native

Elastic scale

Handle 10x traffic without re-architecting — infrastructure that grows and shrinks with demand.

Ship faster

Automated pipelines and containers mean changes go from commit to production in minutes, safely.

Pay for what you use

Right-sized, auto-scaling infrastructure and managed services keep cloud spend proportional to value.

Reliable by design

Self-healing, multi-AZ infrastructure and observability built in from day one.

Less ops burden

Managed services and automation free your team from babysitting servers.

Repeatable & versioned

Infrastructure-as-code means environments are reproducible, reviewable, and rollback-able.

Use cases

What a cloud native journey delivers

Containerised platform

Your apps packaged in Docker and run on a consistent, portable runtime.

Infrastructure-as-code

Your whole environment defined in Terraform — reproducible and reviewable.

Automated delivery

CI/CD pipelines from commit to production with safe, repeatable releases.

Observability

Metrics, logs, and alerts so you can see and trust what's happening in production.

Auto-scaling services

Compute that scales to load, like the auto-scaling AWS behind ShiftERP.

Multi-cloud foundations

Architecture that fits AWS, GCP, or Azure to your needs and constraints.

Tech stack

Tools and platforms we ship with

The right tool for the job, chosen on fit and reliability — not on what we're married to.

AWS

EC2/S3/RDS

Kubernetes

Orchestration

Docker

Containers

Terraform

IaC

GitHub Actions

CI/CD

AWS ECS

Containers

CloudWatch

Observability

GCP

Cloud

Azure

Cloud

Why Tackxel

Cloud engineering from a team that runs it in production

We don't just advise on cloud — we run it. Our shipped platforms live on AWS today: LuxeLocker (native apps + IoT on EC2, S3, and RDS, Dockerized with CI/CD), PropMetrics (AWS with CloudWatch observability), MultiUnitX (AWS with CloudFront), and ShiftERP (auto-scaling EC2, ECS, ALB, and RDS PostgreSQL).

That production experience is the difference between a cloud-native plan that looks good on a slide and one your team can actually operate. Senior engineers, real systems, 11+ products shipped.

11+

Products shipped

AWS platforms shipped

99.5%

EDI accuracy on ShiftERP

Cloud proof in production

Preview coming soon

ShiftERP

Enterprise ERP for co-manufacturers with EDI to Walmart, Target, and Amazon at 99.5% accuracy — built from zero on AWS.

Preview coming soon

LuxeLocker

Native iOS and Android with IoT-controlled access for a US luxury storage operator — mobile, hardware, and cloud as one build.