Auvik operates a cloud-native IT management platform (Go, Kafka, Flink, Kubernetes, AWS) designed for visibility into networks, security devices, and SaaS sprawl across hybrid environments. The company is mid-stage and actively scaling: hiring is accelerating across engineering and sales with a pronounced senior/principal/director mix, while projects reveal a pivot from single-product monolith to multi-service architecture and channel-led growth—evidenced by active work on partner enablement, go-to-market strategy, and partner performance tracking alongside core infrastructure challenges like monitoring millions of devices in production.
Auvik builds infrastructure management software for IT operations teams and managed service providers. The platform provides network mapping, device monitoring, SaaS application tracking, and automation capabilities across hybrid and multi-cloud environments. The company operates at scale: Auvik's customer base manages over 100,000 networks containing one million network devices and three million SaaS applications. Revenue model includes both direct enterprise sales (Salesforce, Salesforce CPQ, Salesforce Billing in stack) and partner channel distribution (MSP-focused go-to-market). Founded in 2011 and headquartered in Waterloo, Ontario, Auvik is privately held with 201–500 employees and active hiring across Canada, the United States, and Colombia.
Auvik's stack spans Go, Kafka, Apache Flink, Kubernetes, C++, Scala, TypeScript, React, GraphQL for core services; AWS for infrastructure; Salesforce ecosystem (including CPQ and Billing) for revenue operations; and Snowflake + Looker for analytics.
Core projects include network and SaaS management services, a shift from monolithic to microservices architecture (with Kubernetes containerization), and channel expansion through partner enablement, go-to-market strategy, and partner performance tracking to drive partner-sourced revenue.
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Auvik's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.