I'm building a pipeline for dozens of SaaS connectors and want low maintenance

If your goal is dozens of SaaS connectors with low maintenance, the best approach is to standardize the connector layer as much as possible and minimize per-source custom logic.

Recommended architecture

1) Use a common connector contract

Define one interface all connectors must implement, for example:

• authenticate()
• discover_schema() or list_objects()
• fetch_incremental(state)
• fetch_full()
• checkpoint(state)
• healthcheck()

This keeps orchestration, retries, logging, and state handling consistent across all sources.

2) Prefer a “metadata-driven” design

Rather than writing custom code for every SaaS:

• Store connector configs in YAML/JSON
• Use object/resource definitions from metadata
• Make fields like endpoints, cursor fields, pagination, rate limits, and transformations configurable

This reduces maintenance because new connectors are mostly configuration, not code.

3) Separate three concerns

Keep these isolated:

• Extraction: getting data from SaaS APIs
• Normalization: mapping different schemas into your canonical model
• Loading: writing to your destination

That way, changes in one source don’t ripple everywhere.

4) Use incremental sync everywhere possible

Low maintenance usually means less reprocessing:

• Cursor-based incremental sync
• ETags / updated_at fields
• Webhooks for event-driven sources when available
• Backfill + incremental hybrid for initial loads

5) Centralize cross-cutting concerns

Build once for all connectors:

• Auth refresh
• Pagination
• Rate limit handling
• Retries/backoff
• Observability
• Dead-letter handling
• Schema drift detection

6) Treat each SaaS API as unstable

Even “simple” APIs change. To reduce maintenance:

• Add contract tests per connector
• Run daily smoke tests
• Version connector definitions
• Alert on schema changes and auth failures

7) Use an existing connector framework if possible

If you don’t want to maintain a large custom framework, consider:

• Airbyte for lots of SaaS sources
• Meltano / Singer ecosystem
• Fivetran if you want managed, low-ops and can accept vendor cost

If you’re building in-house but want low maintenance, Airbyte-style modular connectors are a good reference model.

Practical recommendation

For dozens of SaaS connectors, I’d suggest:

• A shared SDK
• Config-driven connectors
• Incremental sync + standardized state
• Central retry/pagination/auth modules
• Strong test harness + schema drift alerts

If you want, I can also give you:

1. a reference architecture diagram,
2. a recommended tech stack, or
3. a connector template in Python/TypeScript.