Reveille is built for the cloud, for where enterprise content and the AI running on it actually live today.— Chris McNulty, Reveille
Since I joined Reveille earlier this year, one thing keeps coming up. People still introduce us by our on-premises past. That past is real, but it isn’t the story anymore.
Reveille is a cloud platform for modern content operations. We deliver observability, service level assurance, and diagnostics for the cloud systems, business applications, and AI workflows that organizations run on today.
The Tension
Our on-premises history keeps getting read as our present. Here’s the better frame: Reveille is built for the cloud, for where enterprise content and the AI that runs on it actually live now.
Quick answers
Is Reveille a cloud platform or an on-premises tool?
Which cloud systems does Reveille monitor?
How does Reveille use AI in Content Observability?
Does Reveille support Model Context Protocol (MCP)?
01 — The Setup
Content Is the Operational Backbone
More content, more activity, and more risk than ever. AI raised the stakes.
Content has become the operational backbone of the enterprise. The models are everywhere now, available to anyone. The content those models run on, and the processes built around it, is where the real differentiation happens. Invoices, claims, product development, customer onboarding, patient workflows. These are content-driven systems, and they’re throwing off more data and more risk every quarter.
The scale is hard to overstate. Global data creation now passes 180 zettabytes a year, a figure that traces back to IDC’s Global DataSphere research, and the curve is still climbing. For a leader, that isn’t a trivia stat. It means more content to govern, more systems to watch, and a lot less room for blind spots.
02 — Cloud-First by Design
Built for the Cloud, Not Adapted to It
A cloud observability platform designed for where enterprise content and workflows actually run.
Yes, Reveille started on premises. The direction since then has been cloud-first, full stop. We’ve spent years helping customers make that move while expanding the platform to deliver observability and service level assurance across AWS, Azure, and the other major clouds. The frame is simple. Reveille helps organizations run cloud content systems with confidence.
That footprint is already wide and still growing. Our cloud collectors gather telemetry across Microsoft 365: SharePoint Online, SharePoint Embedded, OneDrive, Teams, Copilot, Power Automate, and Power BI, plus Microsoft 365 Backup, Azure Blob Storage, Box, OpenText, IBM, Tungsten, and more. This is not a legacy tool bolted onto the cloud after the fact.
The Framing
It is a cloud observability platform designed for where enterprise content and workflows actually run.
03 — AI at the Core
AI Is Central to Where We Are Going
Practical AI that improves performance, plus new patterns of observability for the AI era.
AI is central to the road ahead, and not in a buzzword way. With predictive analytics and dynamic thresholding, we apply AI to things that move the needle: fewer false positives, faster adaptation to changing workloads, problems caught before they reach a user.
We’re also building out new patterns of Content Observability. Model Context Protocol (MCP) is the clearest example. We’ve added a secure MCP server to the platform, and we have MCP observability in prototype with early customers right now. If MCP becomes the core connective layer between AI agents and enterprise content, and I think it will, customers will want the same operational visibility they already expect for SharePoint, Teams, and everything else that’s business-critical.
04 — What’s Next
Keeping the Content Layer Healthy, Wherever It Runs
Content isn’t slowing down. Neither are the systems that depend on it.
That’s the core of it. Our job is to keep those systems healthy, fast, and trustworthy, no matter where they run or how fast the architecture shifts underneath them.
That’s the work in front of us. It’s exactly where Reveille is focused.
