Service 05 ยท Cloud & DevOps Engineering

Cloud & DevOps for reliable, repeatable delivery.

We design cloud architectures, migrate applications and automate deployment so your software runs reliably and your team can release changes with confidence.

Business problem

The problem we solve

The challenge

Deployments depend on one person, environments differ from each other, outages are discovered by customers, and cloud costs rise without anyone knowing why.

Our approach

How we approach it

We make delivery repeatable. Infrastructure is defined in code, every change passes automated checks before release, and monitoring tells you about problems before your users do.

  1. Assess

    Review the current architecture, deployment process, risks and cost drivers.

  2. Design

    Define the target architecture, security model and migration or delivery plan.

  3. Automate

    Build pipelines and environments as code, then move workloads across in stages.

  4. Operate

    Monitor, tune cost and performance, and document runbooks for your team.

Capabilities

What Cloud & DevOps Engineering includes

Cloud architecture

Designing networks, compute, storage and databases for availability, security and cost.

Cloud migration

Moving existing applications to the cloud in controlled steps with a rollback plan.

AWS engineering

Building and operating workloads on Amazon Web Services.

CI/CD pipelines

Automated build, test and deployment so releases are frequent and low-risk.

Containerization

Docker-based environments that behave the same from development to production.

Infrastructure automation

Repeatable, version-controlled environments instead of manual setup.

Monitoring and alerting

Logs, metrics and alerts that surface problems early.

Backup and recovery

Backup schedules and recovery procedures that have actually been tested.

Technology

Technology and what we use it for

Only technologies our team uses hands-on are listed.

  • AWSHosting, databases, storage and networking
  • DockerConsistent, portable application environments
  • CI/CDAutomated testing and deployment
  • PostgreSQLManaged and self-managed database operations

Architecture considerations

How we structure the system

Cloud architecture is the plan for where the system runs, how it is deployed and how it recovers. We design it to be repeatable and to be understood by more than one person.

Infrastructure as code

Environments are defined in version-controlled code, so they can be recreated, reviewed and audited.

Containerized workloads

Applications run in containers with the same build in development, testing and production.

Separated environments

Development, staging and production are isolated, each with its own credentials and data.

Automated pipelines

Every change is built, tested and deployed through a pipeline, with a defined rollback path.

Elastic capacity and resilience

Capacity is added when load grows, and backups and recovery steps are designed and rehearsed.

Security considerations

How we protect it

These are the practices we plan into the work. They are not certifications.

Least-privilege access

People and services get only the cloud permissions they need, and access is reviewed when roles change.

Network controls

Private networks, restricted ports and firewalls limit what is reachable from the internet.

Secrets management

Credentials are held in a managed secrets store and injected at deploy time.

Pipeline security

Builds run in controlled environments, with dependency checks and required review before deployment.

Monitoring and alerting

Logs, metrics and alerts surface unusual activity and failures early.

Read our Security & Engineering Standards

How we work

Our development process

Every engagement follows the same seven stages, with a checkpoint at each.

  1. Discover

    Business requirements, users, constraints and objectives.

  2. Architect

    Technology strategy, system architecture and a delivery roadmap.

  3. Design

    UX and UI design with technical specifications.

  4. Build

    Engineering and integrations, delivered in tested increments.

  5. Validate

    QA, security and performance testing before release.

  6. Deploy

    Production deployment with monitoring in place.

  7. Scale

    Optimization, maintenance and future development.

Relevant industries

Where this applies

Relevant projects

Related work

We do not have a published client case study for Cloud & DevOps Engineering yet, and we do not show work we cannot stand behind. Our own products, and the solutions we can build, are listed with their status.

Products & Projects · Solutions

FAQ

Frequently Asked Questions

Which cloud providers do you work with?

Our hands-on experience is with AWS. If your organization uses another provider, talk to us about your requirements and we will tell you honestly whether we are the right fit.

Can you move our existing application to the cloud?

Yes. We assess the application first, then plan the move to limit downtime, migrating data and traffic in controlled steps.

Do you manage infrastructure after launch?

We can provide ongoing monitoring and maintenance, or hand over to your team with full documentation. The level of support is agreed in advance.

Insights

Insights related to Cloud & DevOps Engineering

Discuss Your Infrastructure

Tell us about your situation. An engineer will review it and reply with questions and a suggested approach.