How Gearfire Cut IT Costs 67% with Elastic Cloud Serverless

Gearfire operates as the technology infrastructure layer for US firearms retailers, handling product search, point-of-sale, and merchant services at scale. For a company whose business model hinges on profitably onboarding each new retail client, cost predictability is not a preference — it is the operating constraint that determines whether growth is sustainable.

As the customer base grew, Gearfire’s ingestion pipeline became a bottleneck. Enabling a new distributor meant processing listings across every retail client simultaneously, slowing the entire system under load. Bot farm attacks compounded the problem: handling spikes required scaling CPU, but that also triggered unnecessary memory and storage costs. Without a dedicated DevOps team, managing infrastructure had become a ceiling on growth.

Gearfire rebuilt its technology stack entirely around serverless architecture and infrastructure-as-code. For product search, it adopted Elastic Cloud Serverless, which runs a decoupled compute and storage model. This lets the team scale indexing and search workloads independently — heavy ingestion jobs no longer compete with live ecommerce queries, and the fully managed service eliminates operational overhead for a team without dedicated DevOps resources.

In the first month after migration, Gearfire cut costs by 67%. Bot farm attacks that previously caused billing spikes now go unnoticed. “Costs don’t spike, which was a welcome outcome,” said CTO Matt Carden. The company can now activate new retail customers immediately after onboarding, compressing what was previously a complex provisioning process into near-instant enablement.

Gearfire is already exploring ways to extend Elasticsearch into improved checkout experiences and expanded data-driven capabilities across its retail network. With infrastructure costs now predictable and scalable, the engineering team can redirect effort toward product features rather than system maintenance. The platform’s roadmap toward generative AI use cases is informing how Gearfire is building for its next phase of growth.