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EdgeServers

Languages & runtimes

Managed Python — web apps and data pipelines.

Django, Flask, FastAPI, Airflow, dbt — whatever's running. We tune the application server, contain the dependencies, run the background workers and trace the requests end-to-end.

What we manage

Application servers

Gunicorn / uvicorn / Hypercorn worker tuning, sync vs async worker class choice, graceful reloads, --preload optimisations.

Background workers

Celery / RQ / Arq operations — broker config (Redis, RabbitMQ, SQS), retry policies, dead-letter queues, worker autoscaling.

Dependency hygiene

Reproducible installs (pip-tools, uv, Poetry), virtualenv isolation, dependency scanning (Safety, Snyk, pip-audit), Python version upgrade cadence.

Security

Bandit / Semgrep static analysis, secret detection in CI, container-image scanning, framework-specific security headers (Django security middleware).

Performance

Profile-guided optimisation, asyncio + asgiref-aware tuning, database connection-pool sizing, caching layer integration (Redis, Memcached).

Observability

OpenTelemetry Python instrumentation, structured logs (structlog, python-json-logger), Sentry / Rollbar for exception tracking, slow-query alerts.

Compatible across every cloud we manage

Same playbook on AWS, Google Cloud, Microsoft Azure and DigitalOcean — pick the cloud, we'll run the stack.

How we engage

  1. 1. Assess

    Two-week audit of your current cloud setup against the provider's Well-Architected / Architecture Framework. Concrete findings, no fluff.

  2. 2. Stabilise

    We close the top security, reliability and cost gaps before going into steady-state operations.

  3. 3. Operate

    24/7 monitoring, on-call, change management, monthly reviews and a roadmap for the next quarter.

Ready to take the operational load off your team?

Book a 30-minute discovery call. We will audit your current cloud setup and show you exactly where we add value.