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Cloud & DevOps

Cloud & DevOps

Deployment should be a non-event. We set up the infrastructure, pipelines and observability that let a team release on a Friday afternoon and know within minutes if something is wrong.

Infrastructure, pipelines and monitoring that make deployment boring and outages rare.

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The problem

Deploys are risky and nobody knows why it broke

Manual releases, one server that has been hand-configured for years, and no alerting until a customer calls. The fix is not a bigger server — it is repeatable infrastructure, automated pipelines and signals you can trust.

Sound familiar?

  • Releases happen at night because they are risky
  • Only one person can deploy
  • Cloud spend grows without an explanation
  • Incidents are discovered by customers before the team

What we deliver

Exactly what you receive.

Every engagement has defined outputs. Nothing on this list is an optional extra quoted later.

  • Infrastructure review with a risk and cost report
  • Environment strategy for development, staging and production
  • Infrastructure as code
  • CI/CD pipelines with automated tests and rollback
  • Monitoring, logging and alerting with meaningful thresholds
  • Backup and disaster recovery procedure, tested
  • Security hardening and secret management
  • Runbook and on-call handover

Capabilities

What this service covers.

  • Cloud architecture

    AWS, Vercel and Cloudflare setups sized to real traffic, with a documented reason for each component.

  • CI/CD pipelines

    Automated build, test and deploy with preview environments per pull request and a one-command rollback.

  • Infrastructure as code

    Environments defined in version control, so staging and production stop quietly drifting apart.

  • Observability

    Metrics, logs, traces and uptime checks wired into alerts that page a human only when it matters.

  • Performance and cost tuning

    Caching, CDN strategy, query optimisation and right-sizing that usually pays for the engagement.

  • Security and compliance

    Least-privilege access, encrypted secrets, patching cadence and audit-ready logging.

Technologies

The stack we use for this work.

  • AWS
  • Vercel
  • Cloudflare
  • Docker
  • GitHub Actions
  • Terraform
  • PostgreSQL
  • Redis

Tool choices are made per project, against your team’s existing skills and what you already run in production.

Process

  1. 01DiscoverUnderstand the business, the users and the constraint that matters.
  2. 02StrategizeDefine scope, architecture and the order things get built in.
  3. 03DesignFlows, interfaces and a system developers can build without guessing.
  4. 04BuildTwo-week increments against a staging environment you can open.
  5. 05TestQA across devices, load, security and the paths that matter most.
  6. 06LaunchA rehearsed release with monitoring in place before traffic arrives.
  7. 07GrowSupport, measurement and the next round of improvements.

Benefits

What changes for the business.

  • 01

    Releases stop being events

    Automated pipelines and preview environments turn deployment into a routine step any engineer can run.

  • 02

    Problems found first by you

    Alerting on the signals that actually predict failure means the team responds before customers notice.

  • 03

    Cloud spend you can explain

    Tagged resources and usage reporting turn an opaque monthly bill into a set of decisions.

Related work

Where we have done this before.

All case studies

FAQ

Questions we are asked about cloud & devops.

Most teams we work with do not. Managed platforms and containers cover the requirement with far less operational burden. We recommend Kubernetes only when the workload genuinely justifies it.

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Let’s build

Ready to talk about cloud & devops?

Send us the brief, the problem, or just the deadline you are working towards. We will come back with an approach and a realistic estimate.

Prefer email? info@saftasoft.site