Glossary

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Glossary / Evaluation and implementation guide

Stateless Services

Stateless services derive everything they need from each request and hold no data between invocations. That means any instance can be restarted, replaced, or scaled up at any moment without losing information.

Stateful services, by contrast, keep data in memory or local storage between calls, which complicates recovery and scaling. For custom routing or enrichment logic, statelessness is a deliberate design standard that makes failures cost nothing.

A practical example

Example: a custom lead-enrichment service reads the contact ID and fields from each request and writes results back to the platform, so a crashed instance is replaced with no data loss.

What to evaluate before investing

  • Inventory which custom components hold state between calls and where that state lives.
  • Ask how the platform replaces a failed instance and whether in-flight requests are retried.
  • Verify session or queue data is stored externally (database, message broker) rather than in the service.

Limitations and tradeoffs

Some workflows genuinely need state, such as multi-step conversations or deduplication caches; forcing statelessness there adds complexity, so the standard applies per component, not universally.

Plan your next step with MeshLine

Connect this decision to your automation, organic marketing and customer lifecycle management. In a MeshLine demo, discuss your existing tools, the scope you need and how to measure the result.