Charles Conley
IT Ops Manager
Their support has been fantastic - really taking the time to show us new features as they come out - and they are coming out with new features very frequently.
Ensure AI Stack resilience across all dependencies
Know when networks, APIs, LLMs or dependencies fail your AI agents
AI Stacks break 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
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.
Agentic AI resilience
Detect DNS failures, CDN misconfigurations, API availability, latency and stability or BGP hijacks that prevent agents from reaching models or critical data sources globally. Spot failures in SaaS tools, cloud APIs, or vector DBs before workflows collapse
LLM benchmarking
Track the response time, latency, stability and token usage of the LLMs that your organization depends on.
AI chatbot assurance
Detect outages for AI assistants such as Microsoft CoPilot, OpenAI ChatGPT, Google Gemini, X Grok, Perplexity, IBM WatsonX, and more. If you're not monitoring AI endpoints, you're flying blind. Failures in DNS, APIs, network routes, or AI responses often surface as customer complaints. Internet Performance Monitoring, Digital Experience Monitoring, and Synthetic Testing give you proactive visibility—so you can fix problems before they affect revenue, trust, or user experience.
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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.
Learn more
Blog
Agentic AI: Powerful But Fragile—What You Need to Know
Blog
Google’s Agent-to-Agent (A2A) Protocol is here—Now Let’s Make it Observable
Solution Brief
