Azion operates a global edge platform built on Go, GraphQL, and Kubernetes, with deep observability layered through Splunk, Elastic, Sumo Logic, and CrowdStrike. The company is actively adopting Python, Java, and LLM tooling (Anthropic, OpenAI, Mistral) while scaling distributed infrastructure and automation—a hiring mix weighted toward senior engineers and security suggests they're moving through a growth phase marked by both technical complexity (resilience, disaster recovery, infrastructure expansion) and operational maturity (automation, triage playbooks, incident response).
Azion provides a global platform for building and running modern applications at the edge, with integrated web application firewall, real-time analytics, and real user monitoring capabilities. The platform addresses speed, reliability, and security for enterprises operating in distributed environments. Founded in 2011 and headquartered in Palo Alto, the company maintains engineering and sales presence across the US and Brazil. Current focus areas span automation tooling, distributed infrastructure design, redundancy patterns, and go-to-market alignment, with ongoing work to reduce monitoring noise and improve detection accuracy at scale.
Go, GraphQL, Kubernetes, PostgreSQL/MySQL, Docker, Kafka, RabbitMQ for backend systems; React, Vue, TypeScript, Tailwind CSS for frontend. Observability via Splunk, Elastic Security, Sumo Logic, CrowdStrike, and Microsoft Sentinel.
Distributed infrastructure expansion, automation tool development, AI-driven test scaling, playbook automation for incident triage, redundancy and disaster recovery design, and go-to-market strategy alignment.
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Azion'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.