Reveille started on premises. It is built for the cloud — for the content systems, business applications, and AI-driven workflows the enterprise actually runs on today.— Chris McNulty, Reveille
Since I joined Reveille earlier this year, I’ve noticed a persistent misconception: people still frame us primarily through our on-premises history. That history is real, but it is not the story now.
Reveille is a cloud platform built for modern content operations, with observability, service level assurance, and diagnostics for the cloud systems, business applications, and AI-driven workflows organizations depend on today.
Core Tension
Reveille’s on-premises history keeps getting read as its present. That history is real — but it is not the story now. Reveille is built for the cloud, for where enterprise content and the AI that runs on it actually live today.
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 — and AI has only raised the stakes.
Content has become the operational backbone of the enterprise. AI has only raised the stakes. The models may be widely available, but the content they use — and the processes built around it — are where differentiation happens. Invoices, claims, product development, customer onboarding, patient workflows: these are content-driven systems, and they are producing more data, more activity, and more risk than ever.
The scale is hard to overstate. Global data creation now exceeds 180 zettabytes a year — a figure that traces to IDC’s Global DataSphere research — and the growth curve is still steep. For enterprise leaders, that is not an abstract statistic. It means more content to govern, more systems to monitor, and far less tolerance 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.
Reveille may have started on premises, but the direction is unequivocally cloud-first. We have spent years helping customers navigate that transition while expanding the platform to deliver observability and service level assurance across AWS, Azure, and other major cloud environments. The right framing is simple: Reveille is built to help organizations run cloud-based content systems with confidence.
That footprint is already broad and still expanding. Our cloud collectors gather telemetry across Microsoft 365 — including SharePoint Online, SharePoint Embedded, OneDrive, Teams, Copilot, Power Automate, and Power BI — along with Microsoft 365 Backup, Azure Blob Storage, Box, OpenText, IBM, Kofax, and more. This is not a legacy platform being adapted to 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 — and new patterns of observability for the AI era.
AI is also central to where we are going. With predictive analytics and dynamic thresholding, Reveille applies AI in practical ways that improve performance: reducing false positives, adapting to changing workloads, and identifying issues before they become user-visible problems.
We are also extending the platform to support new patterns of Content Observability. Model Context Protocol (MCP) is one example. We have added a secure MCP server to the Reveille platform, and we already have MCP observability in prototype with early customers. If MCP becomes a core connective layer between AI agents and enterprise content, customers will need the same level of operational visibility they expect today for SharePoint, Teams, and other business-critical systems.
04 — What’s Next
Keeping the Content Layer Healthy, Wherever It Runs
Content isn’t slowing down — and neither are the systems that depend on it.
Content is not slowing down, and neither are the systems that depend on it. Our job is to make sure those systems stay healthy, performant, and trustworthy, regardless of where they run or how quickly the architecture changes.
That is the work in front of us, and it is exactly where Reveille is focused.
