Can you reduce our cloud bill?

Often. We start with a cost review (idle resources, oversized instances, missing caching, model usage) and agree every change with you before making it.

Who controls our cloud accounts?

You do. We work through named, least-privilege access that you can revoke at any time.

Cloud and operations

Cloud and DevOps on Google Cloud

Secure, observable infrastructure on Google Cloud and Vercel, with deployments that are boring in the best way.

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What we deliver

We design and run infrastructure on Google Cloud and Vercel: environments, CI/CD, security and access, observability and cost control, plus the AI platform layer (Gemini Enterprise Agent Platform) for teams putting models into production.

What we set up

Production, staging and preview environments; infrastructure as code; CI/CD with automated checks; secrets management; backups and disaster-recovery runbooks.

Observability that answers two questions, “is it working?” and “what does it cost?”: logs, traces, uptime checks, error tracking and budget alerts.

AI on Google Cloud

For AI workloads we use Gemini Enterprise Agent Platform (formerly Vertex AI), where Gemini and Claude models are both available, alongside Cloud Run, Cloud Storage and BigQuery.

LuxeLens AI Studio, our own product, runs its media pipeline on Google's Gemini and Veo models, with uploads in private Cloud Storage behind expiring signed links.

Where each platform fits

Google Cloud for data, AI and long-running services; Vercel for Next.js front ends and preview deployments; Supabase for managed Postgres and authentication when speed matters.

Typical deliverables

Cloud architecture and security review
Infrastructure as code with Terraform
CI/CD pipelines and preview environments
Identity, access and secrets management
Logging, monitoring, alerting and cost budgets
Backup, recovery and incident runbooks

Tools we typically use

Google Cloud: Cloud Run, Cloud Storage, BigQuery, IAM
Gemini Enterprise Agent Platform
Vercel
Supabase
Terraform
GitHub Actions
OpenTelemetry

If your team already runs a different stack, we work within it. These are defaults, not requirements.

Claude and Gemini

Where Claude and Gemini fit

We build on both model families and choose per task, on evaluation results, cost and latency, inside the cloud you already use.

Claude

by Anthropic

Available through Anthropic's API and on Google Cloud, AWS and Microsoft Azure, so it can run inside the cloud you already use.

Gemini

by Google

Native to Google Cloud, next to Cloud Run, Cloud Storage and BigQuery.

Together. Gemini Enterprise Agent Platform (formerly Vertex AI) hosts both families, so you can keep one cloud, one bill and one set of access controls.

Phases and team

How an engagement typically runs

4–10 weeks, delivered by a small senior pod, with progress you can see as it is built. Pip tailors the working model to your team.

Review
Architecture, security, access and cost review of what you run today.
Build
Infrastructure as code, CI/CD, environments, secrets and observability.
Cut over
A planned migration or rollout with backups and a tested recovery path.
Operate
Optional ongoing operations: patching, monitoring, cost control and incident response.

Typical team

Cloud architect, DevOps engineer and a security reviewer

Pricing

Priced to your scope and market.

Every project is priced to its scope and market. Pip gives you a tailored range in minutes, and the final number comes in a written proposal.

Hosting, subscriptions, licences and AI usage are billed to your own accounts at cost, estimated up front.

How pricing works

Related work

Where we've done this

All work

Our productLive

LuxeLens AI Studio

A self-serve studio, built and operated by Softpiper, that turns one product photo into styled product shots, on-model images and short video clips using Google's Gemini image models and Veo 3.1.

Product, Model and Jewellery studio modes
AI Director agent: brief to shot plan (camera, lens, lighting, set, grade)
Product Identity Lock grounded with Google Search

Read the case study Open the product

FAQ

Cloud and DevOps: common questions

Ask Pip if yours isn't here.

Google Cloud and Vercel are where we do most of our work, but we work in AWS or Azure when that is where your systems and contracts are. Claude is available on all three clouds.

Related services

All services

Pip · Softpiper's AI

Ask Pip

Get a tailored range in a couple of minutes

Pip is Softpiper's AI. Describe the project and it will ask a few questions, give you a tailored price range for your scope and market, and book a call with the team.