Ensure agentic AI resilience across the entire Internet Stack
Know when networks, APIs, or dependencies fail your AI agents
Agentic AI breaks without Internet Performance Monitoring
Autonomous AI meshes don't just rely on a single API—they depend on a complex web of cloud services, APIs, LLM endpoints, vector databases, SaaS tools, and the global internet. When DNS fails, when a third-party API goes down, or when a BGP route hijacks access to a model, your AI agent stalls—or worse, behaves unpredictably. Observability for Agentic AI means understanding not just the AI, but every external dependency and internet component that enables it.
The internet is the AI's supply chain—one outage can stall the entire workflow
Agentic AI chains tasks across APIs, models, and data sources. A DNS failure, API outage, cloud region disruption, or CDN issue isn't just a blip—it's a broken agent workflow. Without observability into external networks and third-party components, teams can't diagnose failures, mitigate risks, or restore service quickly. IPM, DEM, and Synthetics give full-stack visibility into the internet dependencies your agents can't live without.
DNS & routing health
Detect DNS failures, CDN misconfigurations, or BGP hijacks that prevent agents from reaching models, APIs, or critical data sources globally.
Third-party API monitoring
Track the availability, latency, and stability of the APIs your agents depend on. Spot failures in SaaS tools, cloud APIs, or vector DBs before workflows collapse.
Multi-hop dependency visibility
See how failures cascade across chains of services—LLMs calling APIs, APIs calling databases, agents calling other agents. Know where the break starts.
Agent failures often aren't the AI’s fault—they're internet failures
When AI agents stall, hallucinate, or fail to complete tasks, the root cause often hides outside the model: in broken APIs, network outages, or unreachable services. Without visibility into this internet-scale stack, teams waste time debugging the AI while the real problem is DNS, routing, or a third-party outage. Monitoring external dependencies is critical to delivering reliable autonomous AI.
CI/CD monitoring automation
Integrate observability into your pipelines. Automatically CRUD monitors as agents, APIs, or AI models are pushed to production. Ensure every change to your AI stack is tested for reachability, latency, and availability—without manual setup.
Cloud region resilience
Detect latency, outages, or failures tied to specific cloud regions. Ensure your agents don’t get stuck waiting on broken infrastructure.
API chain observability
Trace multi-step workflows between agents, APIs, and models. Identify where slowdowns, outages, or errors cause cascading failures.
