Introduction to Analytics at Scale
Collecting meaningful analytics at scale is less about dashboards and more about plumbing. If you’re not a member but want to read this article, you can access it through a friend link.
What is Unified MCP Server?
Unified MCP Server provides every API your AI agents will need through just one MCP server and two functions. One connection unlocks 600+ integrations with built-in multi-tenant auth and natural-language permission scopes. It has several key features, including:
- Plug & Play: Framework-agnostic, works with any architecture.
- Secure: Tenant isolation for your agent’s end users.
- Smart: Dynamic intent search finds the right function for each task.
- Reliable: Sub-API permission boundaries to improve agent reliability.
- Fully Open Source: Backend, dev portal, library, MCP server implementation.
The Importance of Data for Product Teams
Every product team wants data, not just numbers, but sharp, trustworthy, real-time answers to questions like: Did this new feature improve engagement? Are users abandoning the funnel? What’s trending right now?
Collecting Meaningful Analytics
However, collecting meaningful analytics at scale is less about dashboards and more about plumbing. At Canva, analytics isn’t just a tool for dashboards but a part of the core infrastructure. Every design viewed, button clicked, or page loaded gets translated into an event. Multiply that across hundreds of features and millions of users, and it becomes a firehose: 25 billion events every day, flowing with five nines of uptime.
Achieving Scale
Achieving that kind of scale requires deliberate design. It’s about setting up the right infrastructure to handle the vast amounts of data generated every day.
Conclusion
In conclusion, collecting meaningful analytics at scale is a complex task that requires careful planning and infrastructure setup. It’s not just about creating dashboards, but about building a robust system that can handle large amounts of data. By understanding the importance of data for product teams and the challenges of collecting meaningful analytics, we can work towards creating better systems that provide sharp, trustworthy, and real-time answers to our questions.
FAQs
- Q: What is Unified MCP Server?
- A: Unified MCP Server is a system that provides every API your AI agents will need through just one MCP server and two functions.
- Q: Why is collecting meaningful analytics at scale important?
- A: Collecting meaningful analytics at scale is important because it provides product teams with sharp, trustworthy, and real-time answers to questions about user engagement, feature performance, and trends.
- Q: How does Canva handle analytics?
- A: At Canva, analytics isn’t just a tool for dashboards but a part of the core infrastructure, translating every design viewed, button clicked, or page loaded into an event.
