ALGOBAIN
Two engineers holding laptops in a data-centre aisle between server racks
[Photo placeholder] Hosting region, capacity review

Practice iv of v · Cloud and agent infrastructure

Availability, observability and cost, visible from day one.

The infrastructure your agents and models depend on: provisioned as code, observable by default, built for low latency and high availability, and sized for a bill you can defend.

99.7% uptimeOn the production AI systems we operate today.

01 The problem we solve

Infrastructure nobody can see into.

AI workloads are bursty, stateful and expensive. Platforms built for yesterday's web traffic tend to fail them in three predictable ways.

01

Cost discovered at month end

Inference and training spend arrives as a surprise on the invoice, because nothing tied it to a service, a team or a budget while it was being incurred.

02

Outages you hear about from customers

Without traces, metrics and alerts on every agent step, a slow model or a failed tool call is invisible until someone complains.

03

Environments built by hand

Hand-built environments drift apart and cannot be reproduced. A model release then becomes a manual event rather than a pipeline with a rollback.

02 What we deliver

The ground it runs on, built to scale quietly.

Architected for uptime, security and cost, and built to grow with the load. Everything is defined as code, so any environment can be rebuilt from the repository.

i

Cloud migration and landing zones

Accounts, networks, identity and guardrails set up once and correctly, then workloads moved across in planned steps.

  • Cloud migration
  • Network and identity
  • Data region control

AWS, Azure, GCP

ii

Kubernetes and containers

Orchestration for agent runtimes, model servers and pipelines, with auto-scaling that follows demand rather than a guess.

  • Kubernetes orchestration
  • Auto-scaling
  • Multi-tenant isolation

Kubernetes, Docker

iii

Infrastructure as code and CI/CD for AI

Every environment in the repository, and release pipelines that test, evaluate and roll back model and agent versions like any other change.

  • Infrastructure as code
  • CI/CD pipelines
  • Rollback

Terraform, CI/CD

iv

Agent observability

Traces, metrics and logs for every agent step and model call, with alerts on latency, errors and the service levels you agreed.

  • Tracing
  • Service levels
  • Alerting and on-call

[Observability tools to confirm]

v

Cost visibility and control

Spend attributed to each service from the first deploy, budgets with alerts, and a monthly review that sizes the platform to the bill you can defend.

  • Cost per service
  • Budgets and alerts
  • Rightsizing

Provider billing, tagging

What you see on day one

Availability, latency, spend and error budget on one screen from the first deploy, with all spend attributed to a service and a budget. The same view is what we review with you each month under managed operations.

03 How an engagement runs

Run by the people who built it.

We start from your current estate, your bill and your incident history, and finish with a platform we stay on call for.

Engagement path

Discovery

Weeks 1 to 2

Fixed-fee assessment of the current estate, spend, incidents and service levels.

Architecture

Weeks 2 to 4

Landing zone, service levels, cost budgets per service and the migration order.

Build

Week 4 onward

Dedicated senior team, minimum three months, everything provisioned as code.

Run

Ongoing

Managed operations: on-call, incident response, monthly cost and capacity reviews.

Close-up of a dense circuit board with chips and components
[Photo placeholder] Hardware, inference host

What is agreed before the build

Service levels and budgets, in writing.

Service levelsAvailability and latency targets per service.
Cost budgetsA budget and an alert for every service.
Everything as codeNo environment that cannot be rebuilt.
On-callBy the engineers who built the platform.
Data regionProcessed where you say, GDPR-compliant.
SOC 2-alignedAligned, not certified. We say so plainly.

04 · Case study, payments

Ten million dollars of transactions, confirmed.

A rewards platform needed bill payments across many providers to clear reliably and instantly. Algobain built the payment and ledger infrastructure underneath it.

Read the coin rewards case study
Network switch ports with patched blue and grey cables
[Photo placeholder] Payment infrastructure, network edge
$10M+
Transactions processed.
35K+
Active users.
94%
On-time payments.
12mo
Engagement duration, as technology partner.

The brief

One platform to pay bills across 50+ utility and service providers, with rewards for paying on time and no room for a payment that clears twice or not at all.

What we built

Card processing through Stripe, ACH bank transfers, a wallet, instant payment confirmation, refund and dispute workflows, and a ledger with anti-fraud controls.

What it runs on

Node.js services on PostgreSQL with a React web client, engineered for the transaction volume of a platform with 35,000+ active users.

Client view, another engagement

“We grew by an order of magnitude without re-architecting. The system simply held.”
Biren Saini, CEO, RapidData

06 Questions

What platform and finance teams ask.

Which clouds do you work on?
AWS, Azure and GCP, provisioned with Terraform. We work in your accounts, under your identity and billing, so the platform stays yours if we ever step away.
How is the 99.7% uptime measured?
It is the uptime across the production AI systems Algobain operates under managed operations today. Each new platform gets its own service levels, agreed per service during architecture. [Confirm measurement window and method before publishing.]
How do you keep the bill in check?
Spend is attributed to a service from the first deploy, each service has a budget with alerts, and capacity and cost are reviewed with you every month under managed operations.
Who is on call?
The engineers who built the platform. Incident response is part of managed operations, not a separate support desk.
Can you take over infrastructure someone else built?
Yes. The assessment maps what exists, what is undocumented and what is at risk, and the first build increments bring it under code and monitoring before anything is changed.
Where is our data hosted?
In the region you choose. Delivery is GDPR-compliant, our practices are SOC 2-aligned (not certified), and a DPA is available on request for EU and UK entities. See Trust.
An empty meeting room with a long table and floor-to-ceiling windows in daylight
[Photo placeholder] Briefing room

See the platform before the bill does.

Tell us what you run today, what it costs and what keeps breaking. The assessment comes back with the platform, the service levels and the budget.

  1. 1
    Within 48 hoursA senior engineer replies. If we are not the right fit, we say so.
  2. 2
    NDA, then a working sessionWe sign first, then map the estate, the spend and the owners.
  3. 3
    A written proposalScope and fixed fee for the two-week assessment.
Request a briefing