Side-by-side comparison of AI visibility scores, market position, and capabilities
Santa Clara cloud networking (NYSE: ANET) at $7.0B FY2024 revenue (+20%); AI networking +50%, 400G/800G GPU cluster switches for Microsoft/Meta/Google competing with Cisco and NVIDIA InfiniBand for AI data center fabric.
Arista Networks, Inc. is a Santa Clara, California-based cloud networking company — publicly traded on the New York Stock Exchange (NYSE: ANET) as an S&P 500 Information Technology component with a market capitalization of approximately $120 billion — designing and selling programmable Ethernet switches, routers, and network management software for cloud data centers, artificial intelligence compute clusters, and enterprise campus networks through approximately 4,400 employees worldwide. In fiscal year 2024, Arista reported revenue of $7.0 billion (+20% year-over-year), with AI networking revenue growing more than 50% as hyperscale customers (Microsoft, Meta, Google) deployed Arista's 400G and 800G Ethernet switches as the network fabric interconnecting tens of thousands of NVIDIA H100 and H200 GPUs in AI training clusters. CEO Jayshree Ullal has led Arista since 2008, executing the strategy of building the world's most advanced Ethernet switching operating system (EOS, Extensible Operating System) and using EOS's programmability and reliability advantages to win the hyperscale cloud data center market from Cisco — a share gain that created Arista's growth from a startup to a $7B+ revenue company in a decade. Arista's EOS software runs across the entire product family (campus, data center, AI cluster switches) with a single code base and management plane, enabling network operators to write Python scripts and custom automation for every switch in the network from one operating system.
OpsLevel is a developer portal and service catalog for tracking service ownership, maturity scorecards, and production readiness across microservices.
OpsLevel is a developer portal platform that gives engineering organizations visibility into the services they operate, who owns them, and how mature they are relative to internal engineering standards. At its core, OpsLevel maintains a service catalog that maps every microservice, repository, and infrastructure component to a team owner, populating metadata automatically from integrations with GitHub, GitLab, PagerDuty, Datadog, and cloud providers. This catalog becomes the authoritative source of truth for answering questions like who to contact about a service, what tier of reliability it requires, and what dependencies it has — questions that are often unanswerable at engineering organizations that have grown past the point where everyone knows everything.
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