Backend Platforms (Django/Flask)
Scalable APIs, jobs, caching, observability.
What you get
- Celery/Redis
- PostgreSQL
- AWS
Process
- Discovery
I clarify goals, constraints, and success metrics.
- Architecture
I design the system and guardrails for safety and reliability.
- Build
I implement, integrate, and iterate quickly.
- Optimize
I test, evaluate, and harden.
- Deploy
I deploy, monitor, and optimize.
FAQs
Do you support microservices or monoliths?1
Both, pragmatic architectures based on team size, scaling needs, and delivery velocity.
What does your stack look like?2
Python (Django/Flask), Postgres/Redis, Celery, Docker, and AWS services for reliability.
Can you improve performance of existing systems?3
Yes, profiling, caching, query tuning, and background jobs are standard engagements.
Do you add monitoring and tracing?4
Yes, metrics, logs, and traces with alerts for fast incident response.
How do you handle authentication and authorization?5
JWT/OAuth2, session-based auth, RBAC/ABAC, and secure secrets handling.
What about background jobs and scheduling?6
Celery/Redis for queues, periodic tasks, retries with backoff, and idempotency keys.
Do you set up CI/CD and multi-environments?7
GitHub Actions, environment parity, blue/green or rolling deploys, and rollback plans.
How do you ensure database reliability?8
Migrations, backups, read replicas, and query optimization with slow query observability.