All servicesBuilding

Release faster, stay up, and stop the cloud bill climbing.Cloud & DevOps Engineering

Cloud-native infrastructure that ships changes in minutes, recovers from failure on its own, and reports what it costs — so releasing stops being an event and staying online stops being luck.

Understanding the discipline

What cloud and DevOps engineering means for your business.

Cloud and DevOps is the machinery that gets code from a developer's laptop into customers' hands safely, and keeps it running once it's there. It covers how software is built, tested, and released, how the servers behind it scale and heal, and how you find out something is wrong — ideally before a customer does.

Done well, it disappears into the background: releases become routine, capacity follows demand, and the monthly bill maps to what the business actually uses. Done badly, it becomes the reason every launch slips, every outage is a surprise, and the cloud invoice climbs with no one able to say why.

  • Releases moved from scheduled events to something that happens many times a day.

  • Infrastructure moved from hand-configured servers to code you can review and rebuild.

  • Outages moved from customer reports to alerts that fire before impact.

  • Cloud spend moved from a fixed line item to something engineering can measure and control.

Cloud infrastructure

The environments your software runs on, defined as code so they're consistent, repeatable, and rebuildable.

Delivery pipelines

The automated path from commit to production, with testing and rollback built in so a bad release is caught, not shipped.

Observability & reliability

The monitoring, alerting, and on-call practice that keeps the system up and tells you the moment it isn't.

The business case

Why businesses invest in cloud & devops engineering.

Returns that show up on the business, not on the engineering backlog.

  • 01

    Ship more, break less

    An automated pipeline lets teams release often and safely, so features reach users without a launch-day gamble.

  • 02

    Uptime you can stand behind

    Self-healing infrastructure and real monitoring keep the service available and shorten every outage that does happen.

  • 03

    A cloud bill you can explain

    Spend is measured against usage, and waste gets found and removed instead of quietly accruing month after month.

  • 04

    Scale without a rebuild

    Capacity follows demand automatically, so a good day for the business isn't a bad day for the system.

What we build & capabilities

The things you can commission — and what each one ships with.

Defined engagements, one at a time: the thing itself on screen, and the capabilities that come with it.

01 / 06

Cloud architecture & migration

Environments designed for the workload — right-sized, secure, and built to grow — whether that means a new cloud-native setup or moving an existing system off ageing infrastructure without a risky big-bang cutover.

Capabilities

  • AWS
  • Azure
  • Google Cloud
  • Well-architected reviews
  • Phased migration

Business outcomes

Where the business is today, and what changes.

The operational difference, in the terms the business already measures itself in.

Releases are slow, manual, and scheduled around fear
Deploys run in minutes, many times a day, with a rollback ready
Customers report outages before your team notices
Monitoring alerts you before most issues reach a user
The cloud bill climbs and no one can explain it
Spend mapped to usage, with waste found and cut
A traffic spike takes the service down
Capacity scales automatically and the system stays up
One outage means hours of manual firefighting
Self-healing infrastructure and runbooks shorten every incident

Higher uptime

Faster deployments

Optimized cloud spend

Industries we serve

The same discipline, shaped to your sector.

Regulation, procurement and legacy estate differ by industry — and the engagement is shaped around them, not in spite of them.

Our engineering process

How the engagement actually runs.

Every stage has an owner, an output, and a point where you can change direction.

  1. 01

    Assess

    The current infrastructure, delivery process, and cost baseline reviewed before anything changes.

  2. 02

    Design

    A target architecture and delivery pipeline agreed, sized for the load expected, not just today's.

  3. 03

    Codify

    Environments captured as infrastructure code, so they're reproducible from the start.

  4. 04

    Automate

    Build, test, and deploy wired into a pipeline with a rehearsed rollback path.

  5. 05

    Instrument

    Monitoring, logging, and alerting added, with runbooks for the failures that matter.

  6. 06

    Migrate

    Workloads moved over in phases, each verified before the next.

  7. 07

    Optimise

    Cost, performance, and reliability tuned against real usage once live.

  8. 08

    Operate

    Ongoing support, incident practice, and improvement by a team that knows the setup.

Why Sumago

Why teams choose Sumago.

The technology partner serious businesses build with — and stay with.

Automated & reliableCertified processCost-disciplinedSecure by designBuilt to scale

Business understanding first

We understand the business before writing a line of code.

Strategic consulting

A consultative partner, not just a development shop.

Multidisciplinary team

Analysts, architects, designers, engineers, cloud & AI specialists, QA.

Transparency

Clear communication in every engagement.

Engineering quality

High standards, scalable and secure architecture.

Long-term partnership

Support and improvement long after delivery.

Technology ecosystem

Mainstream technology, chosen so you can hire for it later.

The stack is a means, not a position. It gets chosen against your constraints — and it stays maintainable by people who aren't us.

AWS / Azure / GCPDockerCI/CDInfrastructure as Code
  • Slack

Proof of work

Work that has already shipped.

Real engagements, named clients, and what changed for the business behind them.

An AI Voice Workforce That Never Misses a Customer
Professional Services

An AI Voice Workforce That Never Misses a Customer

Client challenge
Every business depends on conversations it cannot always be present for. Calls arrive after hours, during a rush, or faster than the team can pick up — and each unanswered ring is a ready customer who simply moves on to whoever answered first. The traditional fix is to hire, train, and roster more people, yet capacity always runs thinnest at the exact moments demand peaks. Leaders are left choosing between the cost of over-staffing and the cost of missed opportunity.
Our solution
An AI-powered voice automation platform that works as an always-on virtual agent for the business. It holds natural, human-like conversations with every caller — understanding what they want, answering their questions, qualifying their intent, and scheduling meetings while their interest is still high. It works around the clock, handles a surge of conversations at once without a queue, and captures every interaction directly into the systems the business already runs on, so a call ends not in a note to follow up later, but in a qualified opportunity in motion. ### The platform Two connected layers — the agent customers experience, and the platform the business controls it from: - **The AI Voice Agent** — *for the customer.* The always-on virtual agent every caller actually speaks to — understanding intent, answering questions, qualifying interest, and booking meetings in natural conversation. *How it helped:* ensured no caller ever hit a dead end, capturing round-the-clock demand that used to slip away to whoever answered first. - **The Web Control Platform** — *for the business.* The command center where leadership sees every conversation and lead, tracks performance, and steers how the agent behaves. *How it helped:* turned an automated channel from a black box into a managed, trusted part of operations — full visibility and control over an autonomous workforce. ### Architecture highlights - **Event-driven, asynchronous core** — calls, transcriptions, and follow-up actions flow through an event pipeline, so nothing blocks and every step stays independently reliable. - **Horizontally scalable, stateless services** — capacity scales out on demand to absorb call surges without a queue or a dropped conversation. - **Resilient integration layer** — CRM, calendar, and telephony connect through an isolated, fault-tolerant layer, so a third-party hiccup never takes the agent down. - **Real-time streaming to the control platform** — live call data pushes to leadership's view over a streaming channel for instant visibility. - **Secure by design** — token-based access and encrypted handling of every customer interaction. ### Technology stack Built on the **MERN stack** (MongoDB · Express.js · React · Node.js) for a fast, real-time web platform, integrated with conversational-AI, speech, and telephony services.
Business impact
The result is a front door that never closes. Genuine demand is captured the moment it appears instead of cooling overnight; every customer receives the same confident, on-brand experience; and the team is freed from repetitive call handling to focus on the high-value conversations that need a human touch. In a market where the business that responds first usually wins, always answering becomes a durable, compounding advantage.

Conversational AI · Natural Language Understanding · Voice Synthesis · CRM Orchestration · Calendar Automation · Performance Intelligence