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Reveille Introduces AI-Powered Observability for Microsoft 365, SharePoint and Teams with Winter 2025 Update

Reveille Software announced the Reveille Winter 2025 Update, featuring Reveille AI Dynamic Thresholding. 

This latest release expands support for Microsoft 365, SharePoint Embedded, and Microsoft Teams and incorporates AI-driven machine learning to optimize automation monitoring and reduce operational inefficiencies.

The Reveille AI Dynamic Thresholding feature minimizes manual threshold adjustments, reduces false positive alerts, and dynamically adapts to workload variations within intelligent automation environments. Unlike traditional AI implementations focused on generative content, Reveille AI leverages machine learning models to enhance real-time operational performance, making AI more actionable and transparent for enterprises and Managed Service Providers (MSPs).

"Reveille's new AI support for intelligent automation solutions enhances the comprehensive coverage provided by Reveille's observability and monitoring," said Brian DeWyer, Co-Founder and Chief Technology Officer of Reveille. "Dynamic thresholds are just the first of multiple AI-based solutions planned for 2025, reinforcing our commitment to delivering smarter, more efficient monitoring capabilities."

Key Features of the Reveille Winter 2025 Update

  • Reveille AI Dynamic Thresholding – Utilizes open-source machine learning models to automatically set upper and lower thresholds, improving alert accuracy and reducing unnecessary notifications.
  • Expanded Microsoft 365 Observability – Enhanced monitoring support for SharePoint Embedded, Microsoft Teams, and Copilot, providing deeper insights into user activity and system performance.
  • New Reveille User Analytics Application Support – Advanced data-driven insights to improve automation efficiency and ensure optimal service levels.

Reveille AI is purpose-built for enterprises and MSPs operating in complex, intelligent automation environments. Unlike black-box AI solutions, Reveille AI provides forecast accuracy assessments and can run on-premises or in the cloud, ensuring flexibility and control. The system is designed to provide immediate business impact by leveraging data gathered during normal operations rather than relying on pre-trained datasets.

The Reveille Winter 2025 Update will be available for shipping on February 18, 2025. The software update is included in Reveille’s standard subscription and maintenance plans. The Reveille AI solution package, which provides licensing, consulting, and support, will be available as an add-on.

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Reveille Introduces AI-Powered Observability for Microsoft 365, SharePoint and Teams with Winter 2025 Update

Reveille Software announced the Reveille Winter 2025 Update, featuring Reveille AI Dynamic Thresholding. 

This latest release expands support for Microsoft 365, SharePoint Embedded, and Microsoft Teams and incorporates AI-driven machine learning to optimize automation monitoring and reduce operational inefficiencies.

The Reveille AI Dynamic Thresholding feature minimizes manual threshold adjustments, reduces false positive alerts, and dynamically adapts to workload variations within intelligent automation environments. Unlike traditional AI implementations focused on generative content, Reveille AI leverages machine learning models to enhance real-time operational performance, making AI more actionable and transparent for enterprises and Managed Service Providers (MSPs).

"Reveille's new AI support for intelligent automation solutions enhances the comprehensive coverage provided by Reveille's observability and monitoring," said Brian DeWyer, Co-Founder and Chief Technology Officer of Reveille. "Dynamic thresholds are just the first of multiple AI-based solutions planned for 2025, reinforcing our commitment to delivering smarter, more efficient monitoring capabilities."

Key Features of the Reveille Winter 2025 Update

  • Reveille AI Dynamic Thresholding – Utilizes open-source machine learning models to automatically set upper and lower thresholds, improving alert accuracy and reducing unnecessary notifications.
  • Expanded Microsoft 365 Observability – Enhanced monitoring support for SharePoint Embedded, Microsoft Teams, and Copilot, providing deeper insights into user activity and system performance.
  • New Reveille User Analytics Application Support – Advanced data-driven insights to improve automation efficiency and ensure optimal service levels.

Reveille AI is purpose-built for enterprises and MSPs operating in complex, intelligent automation environments. Unlike black-box AI solutions, Reveille AI provides forecast accuracy assessments and can run on-premises or in the cloud, ensuring flexibility and control. The system is designed to provide immediate business impact by leveraging data gathered during normal operations rather than relying on pre-trained datasets.

The Reveille Winter 2025 Update will be available for shipping on February 18, 2025. The software update is included in Reveille’s standard subscription and maintenance plans. The Reveille AI solution package, which provides licensing, consulting, and support, will be available as an add-on.

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In MEAN TIME TO INSIGHT Episode 12, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses purchasing new network observability solutions.... 

There's an image problem with mobile app security. While it's critical for highly regulated industries like financial services, it is often overlooked in others. This usually comes down to development priorities, which typically fall into three categories: user experience, app performance, and app security. When dealing with finite resources such as time, shifting priorities, and team skill sets, engineering teams often have to prioritize one over the others. Usually, security is the odd man out ...

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IT outages, caused by poor-quality software updates, are no longer rare incidents but rather frequent occurrences, directly impacting over half of US consumers. According to the 2024 Software Failure Sentiment Report from Harness, many now equate these failures to critical public health crises ...

In just a few months, Google will again head to Washington DC and meet with the government for a two-week remedy trial to cement the fate of what happens to Chrome and its search business in the face of ongoing antitrust court case(s). Or, Google may proactively decide to make changes, putting the power in its hands to outline a suitable remedy. Regardless of the outcome, one thing is sure: there will be far more implications for AI than just a shift in Google's Search business ... 

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In today's fast-paced digital world, Application Performance Monitoring (APM) is crucial for maintaining the health of an organization's digital ecosystem. However, the complexities of modern IT environments, including distributed architectures, hybrid clouds, and dynamic workloads, present significant challenges ... This blog explores the challenges of implementing application performance monitoring (APM) and offers strategies for overcoming them ...

Service disruptions remain a critical concern for IT and business executives, with 88% of respondents saying they believe another major incident will occur in the next 12 months, according to a study from PagerDuty ...

IT infrastructure (on-premises, cloud, or hybrid) is becoming larger and more complex. IT management tools need data to drive better decision making and more process automation to complement manual intervention by IT staff. That is why smart organizations invest in the systems and strategies needed to make their IT infrastructure more resilient in the event of disruption, and why many are turning to application performance monitoring (APM) in conjunction with high availability (HA) clusters ...

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With the 2027 deadline for SAP S/4HANA migrations fast approaching, organizations are accelerating their transition plans ... For organizations that intend to remain on SAP ECC in the near-term, the focus has shifted to improving operational efficiencies and meeting demands for faster cycle times ...

As applications expand and systems intertwine, performance bottlenecks, quality lapses, and disjointed pipelines threaten progress. To stay ahead, leading organizations are turning to three foundational strategies: developer-first observability, API platform adoption, and sustainable test growth ...