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End-to-end monitoring with Elastic for a 120-year-old department store chain

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SNMP, Pure Storage, and VMware logs ingested

Client

The client is one of the oldest department store chains in the United States with a massive digital footprint. Their e-commerce site handles nearly 50 million visits monthly across thousands of SKUs.

Project Context

Despite deploying Elasticsearch for centralized log management, the system lacked visibility into legacy infrastructure due to limited out-of-the-box integrations.

Challenges

Outdated protocols like SNMP and incompatible formats made ingestion difficult.
Pure Storage and VMware Center integrations were not natively supported.

Solution

Developed custom integrations and parsers.
Normalized SNMP traps to Elastic Common Schema (ECS).
Configured a centralized Logstash fleet to manage ingestion pipelines.

Project Objectives

Enable end-to-end observability.
Integrate legacy SNMP-based alerts.
Ingest logs from Pure Storage and VMWare vCenter into Elastic.

Solution Delivery

SquareShift combined deep protocol expertise and partner consultation to bridge legacy tech into Elastic. The result: complete observability with full-stack coverage.

Testimonial

Thanks to SquareShift, we now have real-time observability across all layers

Technology Stack

To know more in detail 

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