What availability target should we aim for?

Whatever the business genuinely needs — each additional nine costs disproportionately more. We work backwards from the cost of downtime per hour, which often lands well below the number people assume.

Can you work with our existing on-call rota?

Yes. Shared models are common: we cover nights and weekends while your team holds business hours, working from the same runbooks and escalation policy.

How quickly can an engagement start?

Discovery usually begins within one to two weeks of scope agreement, and a delivery team is typically mobilised within three to four weeks depending on the skills involved.

Can you work alongside our in-house team?

Yes — most of our engagements are blended. We work in your repositories, ceremonies, and tooling, and we plan for knowledge transfer from the start so capability stays with you.

How are engagements priced?

Fixed price for well-bounded projects, monthly capacity for dedicated pods, and outcome-linked SLAs for managed services. We are explicit about assumptions and what would change the number.

NeonAITech services — AI and data engineering, product engineering, cloud and DevOps, managed operations, security and quality

Managed Infrastructure & Site Reliability

Reliability engineered to a number, not hoped for.

Book Free Consultation All Services

99.95%

Availability against agreed SLOs

< 30 min

Mean time to restore

50%

Reduction in repeat incidents

Overview

What Managed Infrastructure & Site Reliability means at NeonAITech

We run your cloud and hybrid infrastructure with SRE discipline — service level objectives, error budgets, capacity planning, and blameless incident review. Reliability becomes a measured, budgeted engineering property rather than a matter of who is on call.

Tools & Platforms

Kubernetes
Terraform
Prometheus
Grafana
PagerDuty
Ansible

We are not tied to a single vendor — the stack follows the problem, your existing estate, and your team’s skills.

What We Deliver

SLO-Driven Operations

Service level objectives agreed with the business, error budgets that govern release pace, and reporting against both.

Incident & On-Call Management

Follow-the-sun on-call, structured incident command, and blameless post-incident reviews with tracked actions.

Capacity & Performance Engineering

Load modelling, autoscaling policy, and performance tuning ahead of peak events rather than during them.

Capabilities

Inside the Engagement

Toil reduction and operational automation

Chaos and game-day resilience testing

Patch, hardening, and compliance operations

Backup verification and recovery drills

Runbook automation and self-healing

How We Work

A delivery rhythm you can see into

Every Managed Infrastructure & Site Reliability engagement runs the same four phases, with AI used wherever it removes effort rather than adds novelty.

01
Discover
We map the current state, agree the outcome, and size the work — so scope is a shared decision, not a surprise.
02
Design
Architecture, delivery plan, and success measures are set before build, with costed options where trade-offs exist.
03
Build
Short increments with working output you can review, steer, and stop — never a black box until go-live.
04
Operate
We measure against the agreed outcomes, hand over documentation, and stay on for support where you want it.

Engagement Models

Buy it the way that fits

Fixed-Scope Project

A defined outcome, timeline, and price. Best when requirements are clear and the deliverable is well bounded.

Dedicated Pod

A cross-functional team working to your backlog and priorities, scaling up or down with a month’s notice.

Managed Service

Ongoing ownership against agreed SLAs, with a share of capacity reserved for continuous improvement.