Migration
Cloud Transformation & Migration
Architected migrations to AWS, Azure and GCP. Lift-and-reshape, not lift-and-shift, with cutovers your CFO won't notice.
MigrationArchitectureRe-platform
Two new engagements this quarter.
The DevOps team
your roadmap has been waiting for.
OpsOnDemand is a boutique DevOps agency. We embed senior engineers into your team to architect cloud platforms, automate the work that slows you down, and operate production with you. When the business calls for it, we also design and ship agentic AI systems as a dedicated service, run by specialists.
99.99%
Production SLO
100%
Senior engineers
<15m
Mean response
Zero
Junior handoffs
Capabilities
The work that keeps production moving.
Cloud platforms, pipelines and production reliability are the core of what we do. For clients ready to put AI into the business, we deliver agentic systems as a separate service, scoped to a real business outcome.
IDP
DevOps & Platform Engineering
Internal developer platforms, golden paths and paved-road CI/CD that turn quarterly releases into hourly ones.
IDPCI/CDKubernetes
SLOs
Site Reliability Engineering
Defensible error budgets, runbooks you'd actually follow at 3am, and on-call rotations your engineers don't dread.
SLOsOn-callIncident command
Agents
Agentic AI & Automation
Autonomous agents, LLM-powered workflows and internal copilots wired into the systems your team already runs on. They take real actions, not just answer questions.
AgentsLLM opsCopilots
Pipelines
Data Platforms
Event-driven pipelines, MLOps and the unglamorous plumbing that makes AI production-ready, not demo-ware.
PipelinesMLOpsStreaming
Policy-as-code
DevSecOps
Security baked into every stage of the pipeline. Policy-as-code, supply-chain hardening and compliance that doesn't slow delivery.
Policy-as-codeSupply chainCompliance
Why us
Straight talk.
Senior engineers. No learning curve on your dime.
Every engineer we deploy has operated cloud infrastructure at production scale. You see the difference in the first sprint, not the first quarter.
We embed. We don't ticket.
We work inside your team. Your repos, your standups, your on-call. Outcomes you can measure, not statements of work lobbed over a wall.
We've inherited your kind of mess before.
Greenfield is easy. We specialise in migrations, legacy systems and inherited technical debt. The work most shops quietly decline.
How it works
We embed. Then we ship.
The DevOps engagement: a small team of senior engineers slots into yours, assesses what you have, designs what you need, automates the busywork and operates production alongside you, until your team can run it on their own.
01Wk 1
Embed
Senior engineers join your team. Your Slack, your standups, your repos. Not a statement of work lobbed over a wall.
02Wk 1–2
Assess
Architecture, pipelines, cloud spend and on-call reality, mapped against where the business actually needs to go.
03Wk 2–4
Design
A target platform your team can own: cloud foundations, CI/CD, Kubernetes and the golden paths developers will actually use.
04Wk 4–12
Automate
Infrastructure-as-code, paved-road pipelines and policy-as-code. The manual work that ate your week, gone.
05Ongoing
Operate
SLOs, incident response and continuous tuning. We run it with you, then hand it over when your team is ready.
How agentic AI works
Agentic AI, delivered as a service.
For businesses that want AI in the workflow, not a science project. We design and ship agentic systems against a clear business outcome: time saved, revenue unlocked, decisions made faster. Discovery, evaluation, rollout. No theatre.
01Wk 1–2
Discovery
Where in your business does an agent actually pay rent? We map workflows, data access and the humans in the loop, then kill the ideas that won't survive contact with production.
02Wk 2–3
Design
Agent architecture, tool surface, guardrails and the model choices behind them. Decided on evidence, not on whichever model trended this week.
03Wk 3–5
Prototype
A working agent against your real data and real systems. No slide-ware demos. Something your team can poke holes in by week four.
04Wk 5–7
Evaluate
Eval suites, golden datasets and red-team passes. We measure accuracy, cost-per-task and failure modes before anything touches a customer.
05Ongoing
Rollout
Staged release with observability, human-in-the-loop where it matters, and a clear off-switch. Then we tune as the agent meets the real world.
The stack
The tools we wield in production.
Pragmatic, cloud-native and battle-tested. We pick the boring tool that works over the shiny one that doesn't.
AWSKubernetesTerraformArgoCDGitHub ActionsVaultPrometheusGrafanaBackstageAzureGCPPulumiDatadogPagerDutyOpenTelemetryHelmIstioCiliumKafkaSnowflakePythonBedrockAWSKubernetesTerraformArgoCDGitHub ActionsVaultPrometheusGrafanaBackstageAzureGCPPulumiDatadogPagerDutyOpenTelemetryHelmIstioCiliumKafkaSnowflakePythonBedrock
Get in touch
Ready to move faster?
Tell us what you're trying to ship, migrate or stand up in production. A senior engineer replies within one business day. No SDRs, no funnels.
- info@opsondemand.io
- Engagement
- Pods of 2–6, 12 weeks to multi-year.
- Where
- Remote-first, follow-the-sun on-call.