Yes — self-hosted on your cloud (AWS, DO, GCP) with backups, versioning, and monitoring. Or use n8n Cloud if simpler.

What about error handling?

Every workflow has retry logic, dead-letter queues, and Slack/email alerts. We monitor uptime.

Can it call our internal APIs?

Yes, with auth (OAuth, JWT, API key, mTLS). We build custom nodes when needed.

How maintainable is it?

We version workflows in Git, document each node, and hand over runbooks. No black boxes.

SSiddiq.in

Start a project

n8n · Zapier · Make

Connect every tool. Skip the glue code.

If it has an API, we can wire it. Workflows that ingest, transform, route and alert — designed by engineers, maintained like code.

Map my stack All automation

Common workflow patterns.

Lead-to-CRM

Website → dedupe → enrich → assign → notify → nurture.

Order-to-fulfil

Stripe → inventory → Shiprocket → email → CRM.

Data sync

Two-way sync between apps that don't speak to each other.

AI pipeline

Event → GPT reasoning → action → log with cost per run.

Ship it like software.

Automation that breaks silently is worse than no automation. We treat workflows the way we treat production code.

Version-controlled workflows
Dead-letter queues + retries
Slack alerts on failure
Cost tracking per workflow
Test + prod environments
Runbook + handover docs

Orchestration FAQs.

Zapier for speed and non-technical owners. Make for visual complexity. n8n (self-hosted) when data privacy, cost at scale, or custom code matters. We'll pick per project.

n8n vs Zapier vs Make vs Temporal — pick by workflow shape

There is no best tool. There is the right tool for the workflow class you're building.

Tool	Best workflow	Weakness	Cost at scale
Zapier	Simple linear triggers	Loops, branches get expensive	High — per-task pricing
Make (Integromat)	Visual multi-branch	Complex debugging	Moderate
n8n (self-host)	Long-running, custom code	You run the infra	Low — flat
Temporal / Inngest	Durable multi-day flows	Steeper learning curve	Low per exec, higher build
Airflow / Prefect	Data pipelines, batch	Wrong tool for realtime	Ops-heavy
Custom queue + workers	Extreme scale or custom	Build cost	Lowest per unit

Idempotency, retries, and the rules that stop double-billing

Every serious orchestration has been burned by a retry storm. These are the rules we ship with, no exceptions.

Idempotency key per external call
Every write to a third party carries a deterministic key. Retries are safe. Zero double-charges, double-emails, double-tickets.
Exponential backoff with jitter
Retry at 1s, 3s, 10s, 30s + random jitter. Prevents thundering-herd on downstream after a blip.
Circuit breaker
After N failures in T seconds, stop calling and alert. Continuing to hammer a down API multiplies the incident.
Dead-letter queue
Failed messages after max retries land in DLQ with full context — never dropped, always replayable.
Compensating transactions
Multi-step flows have explicit rollback steps for partial failures — the saga pattern, not "hope it succeeded".
Observability at step-level
Every step traces input, output, duration, cost. Without this, debugging a 12-step workflow is guesswork.