Case study
One Monitoring View for a 120-Year-Old US Department Store Chain
How SquareShift built custom integrations, including for Pure Storage and VMware vCenter, so a 120-year-old department store chain could bring legacy systems into Elastic for one correlated observability view.
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Client
One of the oldest department store chains in the United States, in operation for more than 120 years, generating close to 50 million e-commerce visits a month.
Industry
Retail
Services
Stack
Elasticsearch · SNMP · Pure Storage · VMware vCenter · Elastic Common Schema (ECS) · Logstash
How SquareShift delivered it.
The challenge
The client already used Elasticsearch for logs, but older network, storage, and virtualization systems produced data the stack could not read, leaving blind spots around its legacy infrastructure.
What we delivered
SquareShift built custom integrations and parsers to normalize legacy SNMP data into the same schema as the rest, including for two systems with no native Elastic support: Pure Storage and VMware vCenter. A centralized Logstash fleet now manages ingestion across the full mix of sources.
The outcome
The retailer now has one correlated view across its legacy and modern systems, covering close to 50 million monthly e-commerce visits. To see how we bring more systems into Elastic, read about our Elastic services.
The hard part of legacy observability is never the dashboard — it's writing parsers for protocols vendors stopped documenting years ago.
Observability & Reliability Practice Lead, SquareShift
