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Remote Reindexing Strategy for a California-Based Travel Startup

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Client

The client is a travel-focused technology startup based in California that evolved into a full-stack design and development studio. Their B2B tools are used by some of the world’s biggest companies to manage travel programs.

Project Context

Their Elasticsearch deployment had 1,400 indices and 22 inconsistent mappings. Oversharding and field conflicts affected performance and maintainability.

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Project Objectives

- Migrate to Elastic Cloud using remote reindexing
- Consolidate and unify mapping schemas
- Resolve oversharding and improve ILM strategy

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Challenges

- Variations in mapping types (e.g., text vs. keyword)
- 380+ empty/low-data indices bloating resources
- Downtime sensitivity for legacy and live data

Solution

- Unified schema and custom index templates
- Deleted empty indices and consolidated minimal ones
- Reindexed to Elastic Cloud with optimized shard policies

Solution Delivery

SquareShift designed remote reindexing processes, unified field types, optimized ILM phases, and reduced shard counts with aliasing and field exclusions.

To explore the full scope, use the download link below.

Testimonial

SquareShift gave us clarity and control over our search backend for the first time.

Technology Stack

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