Glossary

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Glossary / Evaluation and implementation guide

Horizontal Scaling

Horizontal scaling means handling more event volume by adding parallel processing instances rather than upgrading to a bigger machine.

Vertical scaling has hard limits and single-point risk; horizontal scaling adds workers but only works if the workload can be safely partitioned across them.

Buyers should understand this behavior before list growth or acquisition spikes double their volume.

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A practical example

Example: a team planning to grow its database from 100,000 to one million contacts needs to know whether the platform adds workers automatically under load or requires a plan change and manual action.

What to evaluate before investing

  • Does scaling happen automatically under load, or does it require a plan change or manual step?
  • Is the workload partitioned across workers, or do some jobs run on a single instance regardless?
  • How is scaling billed — per worker, per execution, or per plan tier?

Limitations and tradeoffs

Adding workers multiplies cost roughly in proportion to capacity; scaling solves throughput, not efficiency, so poorly designed workflows scale their waste too.

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.

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