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Cloud & DevOps

Cloud & DevOps

Cloud and DevOps engineering is the infrastructure layer underneath every system we build — deployment pipelines, monitoring, and cloud architecture designed for reliability, not assembled after something breaks in production.

Overview

A well-built application still fails in production if the infrastructure underneath it is not designed deliberately — unpredictable deploys, no real monitoring, and manual scaling are how a working system becomes an unreliable one.

We treat infrastructure as a first-class part of every engagement: containerized deployments, CI/CD pipelines that catch problems before they ship, and cloud architecture on AWS, Google Cloud, or Azure sized to your actual traffic, not guessed at.

Wide view down a server room aisle lined with tall metal equipment racks on both sides

Engineering

Real Engineering Behind Every Cloud & DevOps Engagement

Cloud & DevOps work here follows the same disciplined process as everything else Fastly builds — discovery, architecture decisions made deliberately, and code written for your specific system, not adapted from a generic starter.

Business Problems We Solve

  • Manual, Risky Deployments

    A manual deploy process is slow and one mistake away from taking production down.

  • No Real Monitoring

    Without real observability, the first sign of a production problem is often a customer complaint.

  • Guessed-At Infrastructure Costs

    Infrastructure sized by guesswork either wastes budget or breaks under real load.

  • No Disaster Recovery Plan

    Without a real backup and recovery plan, a single incident can mean genuine, lasting data loss.

Features

  • CI/CD Pipelines

    Automated build, test, and deploy pipelines that catch problems before they reach production.

  • Containerized Infrastructure

    Docker and Kubernetes deployments built for consistency across environments and real horizontal scale.

  • Real Monitoring and Alerting

    Production visibility into performance, errors, and cost, not a dashboard nobody checks.

  • Right-Sized Cloud Architecture

    AWS, Google Cloud, or Azure infrastructure sized to your actual traffic and growth trajectory.

Benefits

  • Safer, Faster Deploys

    Automated pipelines mean shipping changes is routine, not risky.

  • Real Production Visibility

    Problems caught by monitoring, not by a customer complaint.

  • Predictable Infrastructure Costs

    Capacity sized to real usage, not overprovisioned by guesswork.

  • Resilient to Real Incidents

    A real backup and recovery plan in place before it is ever needed.

Our Process

The same disciplined process behind every cloud & devops engagement, from first conversation to production.

  1. 01

    Discovery

    Understanding your goals, users, and constraints before any code is written.

    Technical Brief

  2. 02

    Strategy

    Defining the technical approach, architecture, and roadmap for what gets built.

    Architecture Plan

  3. 03

    Development

    Building in focused iterations, with regular check-ins and working software at every stage.

    Working Software

  4. 04

    Launch & Growth

    Shipping to production, then monitoring, refining, and scaling based on real usage.

    Production Release

Technologies We Use

  • AWS
  • Google Cloud
  • Azure
  • Docker
  • Kubernetes
  • GitHub Actions

Industries Served

Where cloud & devops most commonly makes an impact.

  • Finance
  • Healthcare
  • Ecommerce
  • Manufacturing

Frequently Asked Questions

Which cloud provider do you work with?

AWS, Google Cloud, and Azure — the right choice depends on your existing infrastructure and requirements, not a default we apply to every project.

Can you take over our existing infrastructure?

Yes — auditing and improving an existing cloud setup is common work, not just greenfield builds.

Do you set up monitoring and alerting?

Yes — real production monitoring is a standard part of any infrastructure engagement, not a separate add-on.

How do you keep infrastructure costs predictable?

Capacity is sized to your actual traffic and growth trajectory, with monitoring on cost as well as performance, rather than provisioning by guesswork.

Do you handle CI/CD pipeline setup?

Yes — automated build, test, and deploy pipelines are part of how we ship every project, not just something we set up on request.

Two colleagues collaborating on a laptop in a shared office, discussing a screen together

Delivery

Support Doesn't End At Launch

Every cloud & devops engagement includes the Launch & Growth phase of our process — monitoring, refinement, and scaling support once the system is live, not a handoff the moment it ships.

Ready to Talk About Cloud & DevOps?

Tell us about your project and we'll get back to you with next steps — no obligation, no generic sales pitch.