Application deployment
Web applications, APIs and workers deployed to virtual servers, containers or managed platforms.
Infrastructure & Operations
Getting software into production reliably, and keeping it there. We automate deployments, configure environments and put monitoring and backups in place so releases become routine.
on:
push:
branches: [main]
jobs:
deploy:
runs-on: ubuntu-latest
environment: production
steps:
- uses: actions/checkout@v4
- run: make test
- run: make release # build, migrate, reload, health check
01 · Overview
Many teams build good software and then deploy it by hand: a checklist, an SSH session and a lot of hope. We replace that with automated pipelines that test, build and release the same way every time, with health checks and a documented rollback.
We deploy to the platform that fits the application and the budget, from a single well-configured virtual server with Nginx and systemd to containers and managed services on AWS, Google Cloud or Azure. TLS, secrets, backups and monitoring are part of every setup.
02 · Capabilities
Everything between a merged pull request and a healthy production system.
Web applications, APIs and workers deployed to virtual servers, containers or managed platforms.
Pipelines that run tests, build artefacts and release with approvals, so every deployment is repeatable.
Nginx configuration for routing, load balancing, compression, caching, request limits and static files.
Automated certificate issuance and renewal, modern TLS settings and HSTS on every environment.
Uptime checks, error tracking, metrics dashboards and alerts routed to the right people.
Automated, verified backups and separate staging and production environments managed through configuration.
03 · Approach
We design the production environment, automate the path to it and hand over with runbooks your team can follow.
We review the application, traffic and budget, then design the environment.
Servers or managed services, networking and certificates configured as code.
Automated build and release pipelines, with a staging environment to prove them.
Visibility and documentation so your team can operate with confidence.
04 · Technical considerations
A reliable production setup is mostly about removing surprises.
05 · Outcomes
We are provider-neutral. AWS, Google Cloud and Azure each have strengths, and for many applications a well-managed virtual server or platform service is the simplest choice. We recommend based on your workload, team and budget.
With rolling or blue-green releases, health checks, graceful process reloads and database migrations written to work with both the old and new code during the switch.
We use Docker when it simplifies building and running the application. Kubernetes is powerful but adds operational overhead, so we recommend it only when the workload genuinely needs it.
Right-sized instances, auto-scaling where it helps, storage lifecycle rules, budget alerts and regular reviews of what is actually being used.
Uptime checks, application error tracking, centralised logs, key metrics and alerts, using tools such as Prometheus and Grafana or managed equivalents depending on your platform.
Related services
Compute, storage, networking and security designed as code and sized for your workload.
Linux administration, CI/CD, logging, monitoring and hardening for systems that stay up.
Fast, accessible websites and web applications built on solid backend integration.
Tell us how you release today and where it hurts. We will propose a pipeline and hosting setup that fits.