Case study
52 Terabytes of Needless Data Transfer Avoided for a Video Commerce Platform
How SquareShift migrated only the system indices of a global video commerce company's Elasticsearch stack to Elastic Cloud, skipping 52 terabytes of data the platform didn't need live.
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Client
A global video commerce company operating across live TV, e-commerce, and mobile platforms, running an Elasticsearch-powered observability stack that keeps its digital storefronts performing and available.
Industry
Media & Entertainment
Services
Stack
Elasticsearch · Elastic Cloud · Logstash · Kibana · Elastic Fleet · SAML · Index Lifecycle Management (ILM)
How SquareShift delivered it.
The challenge
The client's Elasticsearch-powered observability stack ran on-prem, handling log ingestion, monitoring, and alerting behind its digital storefronts. A full migration would have meant moving 52 terabytes of historical data the platform did not need live.
What we delivered
SquareShift migrated only the system indices, using dual writes through Logstash and Fleet, and fixed snapshot credential mismatches, ILM misconfiguration, and login issues along the way. Over 3,500 watchers were updated automatically. To move your own cluster to Elastic Cloud, see our Elasticsearch migration services.
The outcome
The stack now runs its system indices on Elastic Cloud, with monitoring, alerting, and dashboards intact and all four Fleet policies migrated and aligned.
Not every byte deserves a migration — moving only the system indices, and dual-writing while the rest stayed in place, is what kept this move fast without touching data the platform never needed live.
Platform & Software Engineering Practice Lead, SquareShift
