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How to View Office 365 Service Health?

Single tool to manage your Office 365 360-degree reporting needs
Sidharth Kumar
Exoprise

In today's modern IT world, enterprises are looking to not only streamline their global monitoring operations but also facilitate access to reporting capabilities that provide insight into usage, uptime, and availability of SaaS services. Covid disrupted the work culture and our daily lives. With so many of us working from home, IT leaders and executives are now more than ever interested in ensuring that the cloud services their team relies on are available. Remote collaboration tools such as  Microsoft Teams and Zoom are on the rise.

But instead of accessing popular business-critical applications such as Salesforce, G Suite, Office 365, Microsoft 365, and so on through the company's data center, employees now get these services directly from the Internet. Experience and productivity at each location vary by internet, ISP, gateway, proxy, etc. Multiple organizations need full visibility of internet failures, SaaS performance, application usage levels, etc. so on to optimize and enhance the end-user digital experience.

Few solutions are designed for same. With sensors that run synthetically either on a private site behind a firewall or in the cloud, these solutions monitor SaaS services and capture server health data in the form of metrics. These metrics present in a visual dashboard that updates in real-time. By launching unique dashboard layouts exclusively for Office 365 that are configurable and easy to use, end users can select a variety of widgets for different purposes. Providers should offer comprehensive coverage for ALL your Office 365 operations along with crowd-sourced benchmarking.

Office 365

This layout should provide a holistic and high-level overview of Office 365 service health. With built-in predefined widgets, IT managers or executives can instantly locate potential problems with Office 365 services across global regions. The solution health widget can provide a summary view of all running sites, heatmaps, sensor errors, and alarms associated with these sensors. Integration with Office 365 service health instantly will provide key notifications, alarms, and statuses to focus troubleshooting priorities for the team and reduce MTTR.

Office 365 Usage

The office 365 usage layout can go a step further providing low-level usage details for various Microsoft services such as Exchange, SharePoint, OneDrive, Yammer, Skype, and Teams.

Widgets in this layout can help IT managers understand the service usage and consumption patterns on a historical basis. After comparing this with benchmark usage, proactively plan to add additional capacity for optimal performance and utilization as and when needed. Export usage data in a spreadsheet to share with team members and facilitate resource planning.

Office 365 Usage and Synthetics

In addition to the usage and notification messages, the third layout can bring together hundreds of synthetic low-level metrics for various Office 365 services and presents them in the form of Metric graphs. Important metrics include Jitter, Time to First Byte, download speed, MTA for inbound and outbound emails, latency, authentication and connect time, Round trip times, etc. IT administrators can monitor and correlate multiple sets of actionable and real-time data to keep track of the state of their infrastructure.

Feeds Too, All in Once Place

Finally, add Twitter status feed integration into the dashboards. This makes it brain dead simple to incorporate, in one location, status feeds like @M365Status@AzureSupport@MSFTExchange, or @SharePoint. And of course you're not limited to just the pre-configured feeds , you can add feeds for any service into the dashboard to stay informed.

Unlike other vendors in the market, make sure your monitoring solution offers detailed and comprehensive Office 365 monitoring and reporting dashboards. Take your employee's experience to the next level.

Sign up for a Free 15-day Trial and unlock value for your remote workforce and business.

Sidharth Kumar is Director of Product Marketing at Exoprise

The Latest

Performance bottlenecks aren't uncommon when it comes to rolling out new technology, regardless of how capable or game-changing that technology might be. Every generation of new tech has encountered roadblocks that had to be overcome before it was truly able to shine. Virtualization forced organizations to rethink resource allocation, cloud transformation had us shift our focus toward scalability and elasticity, and microservices introduced entirely new challenges around observability and distributed systems. There's something different about AI, however ...

Consider a single order represented across order-management, execution, and settlement systems. Each database, message broker, and application may be online and processing its own records correctly. Yet the workflow has failed if related events arrive on different clocks, rely on inconsistent state, or cannot be reconciled before an operational decision must be made ...

AI now exists in almost every IT workflow. In a recent survey of more than 800 IT service professionals, all respondents indicated the use of AI in some form within their organization. But there's a growing paradox: if dashboards are clearing faster and alerts are resolved at unprecedented speed, why aren't IT service desks reporting lighter workloads? The research found that 71% of IT teams said their actual workload has remained flat or increased since adopting AI. This reality appears to contradict what we’ve been told about AI ...

Two years ago, almost every customer conversation about AI started with the same questions: Which model should we use? What can it do? Is it ready for the enterprise? Today, those discussions have moved on. CIOs are far more interested in how to govern AI, integrate it with existing systems, prepare their workforce and make it part of everyday operations. The challenge is no longer to prove that AI can deliver value. It's instead about how to embed AI into the business in a way that's secure, scalable and delivers measurable outcomes ...

Two things happened to production incidents between 2023 and now, and they did not happen at the same speed. The first is that a class of dependency that barely existed three years ago now accounts for one incident in ten. Incidents disclosed by AI model and AI application providers rose from 1.7% of all disclosed unplanned incidents in 2023 to 10.7% in 2026 year to date, roughly a sixfold rise; that counts only incidents at AI companies themselves, so the true share is higher. The second is that the time to close an incident has not come down ...

When an AI assistant gives an incomplete or incorrect answer, teams often blame the model. They adjust prompts, switch models, increase context windows or test a new retrieval strategy. However the model may not be a problem. In many enterprise AI workflows, the problem begins inside the document-ingestion pipeline ...

If you talk to any security or observability teams right now, they're all fighting the same fire: their tooling was built to ingest X, but their sources are pumping Y and soon to be doing Z. The knee-jerk reaction is always the same: we need more platform. However, this reaction is wrong. Let me explain why, because the solution to this problem is foundational, not financial. Instead of hurling yet more money at the problem, make sure you've done what's needed upstream ...

Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...

How to View Office 365 Service Health?

Single tool to manage your Office 365 360-degree reporting needs
Sidharth Kumar
Exoprise

In today's modern IT world, enterprises are looking to not only streamline their global monitoring operations but also facilitate access to reporting capabilities that provide insight into usage, uptime, and availability of SaaS services. Covid disrupted the work culture and our daily lives. With so many of us working from home, IT leaders and executives are now more than ever interested in ensuring that the cloud services their team relies on are available. Remote collaboration tools such as  Microsoft Teams and Zoom are on the rise.

But instead of accessing popular business-critical applications such as Salesforce, G Suite, Office 365, Microsoft 365, and so on through the company's data center, employees now get these services directly from the Internet. Experience and productivity at each location vary by internet, ISP, gateway, proxy, etc. Multiple organizations need full visibility of internet failures, SaaS performance, application usage levels, etc. so on to optimize and enhance the end-user digital experience.

Few solutions are designed for same. With sensors that run synthetically either on a private site behind a firewall or in the cloud, these solutions monitor SaaS services and capture server health data in the form of metrics. These metrics present in a visual dashboard that updates in real-time. By launching unique dashboard layouts exclusively for Office 365 that are configurable and easy to use, end users can select a variety of widgets for different purposes. Providers should offer comprehensive coverage for ALL your Office 365 operations along with crowd-sourced benchmarking.

Office 365

This layout should provide a holistic and high-level overview of Office 365 service health. With built-in predefined widgets, IT managers or executives can instantly locate potential problems with Office 365 services across global regions. The solution health widget can provide a summary view of all running sites, heatmaps, sensor errors, and alarms associated with these sensors. Integration with Office 365 service health instantly will provide key notifications, alarms, and statuses to focus troubleshooting priorities for the team and reduce MTTR.

Office 365 Usage

The office 365 usage layout can go a step further providing low-level usage details for various Microsoft services such as Exchange, SharePoint, OneDrive, Yammer, Skype, and Teams.

Widgets in this layout can help IT managers understand the service usage and consumption patterns on a historical basis. After comparing this with benchmark usage, proactively plan to add additional capacity for optimal performance and utilization as and when needed. Export usage data in a spreadsheet to share with team members and facilitate resource planning.

Office 365 Usage and Synthetics

In addition to the usage and notification messages, the third layout can bring together hundreds of synthetic low-level metrics for various Office 365 services and presents them in the form of Metric graphs. Important metrics include Jitter, Time to First Byte, download speed, MTA for inbound and outbound emails, latency, authentication and connect time, Round trip times, etc. IT administrators can monitor and correlate multiple sets of actionable and real-time data to keep track of the state of their infrastructure.

Feeds Too, All in Once Place

Finally, add Twitter status feed integration into the dashboards. This makes it brain dead simple to incorporate, in one location, status feeds like @M365Status@AzureSupport@MSFTExchange, or @SharePoint. And of course you're not limited to just the pre-configured feeds , you can add feeds for any service into the dashboard to stay informed.

Unlike other vendors in the market, make sure your monitoring solution offers detailed and comprehensive Office 365 monitoring and reporting dashboards. Take your employee's experience to the next level.

Sign up for a Free 15-day Trial and unlock value for your remote workforce and business.

Sidharth Kumar is Director of Product Marketing at Exoprise

The Latest

Performance bottlenecks aren't uncommon when it comes to rolling out new technology, regardless of how capable or game-changing that technology might be. Every generation of new tech has encountered roadblocks that had to be overcome before it was truly able to shine. Virtualization forced organizations to rethink resource allocation, cloud transformation had us shift our focus toward scalability and elasticity, and microservices introduced entirely new challenges around observability and distributed systems. There's something different about AI, however ...

Consider a single order represented across order-management, execution, and settlement systems. Each database, message broker, and application may be online and processing its own records correctly. Yet the workflow has failed if related events arrive on different clocks, rely on inconsistent state, or cannot be reconciled before an operational decision must be made ...

AI now exists in almost every IT workflow. In a recent survey of more than 800 IT service professionals, all respondents indicated the use of AI in some form within their organization. But there's a growing paradox: if dashboards are clearing faster and alerts are resolved at unprecedented speed, why aren't IT service desks reporting lighter workloads? The research found that 71% of IT teams said their actual workload has remained flat or increased since adopting AI. This reality appears to contradict what we’ve been told about AI ...

Two years ago, almost every customer conversation about AI started with the same questions: Which model should we use? What can it do? Is it ready for the enterprise? Today, those discussions have moved on. CIOs are far more interested in how to govern AI, integrate it with existing systems, prepare their workforce and make it part of everyday operations. The challenge is no longer to prove that AI can deliver value. It's instead about how to embed AI into the business in a way that's secure, scalable and delivers measurable outcomes ...

Two things happened to production incidents between 2023 and now, and they did not happen at the same speed. The first is that a class of dependency that barely existed three years ago now accounts for one incident in ten. Incidents disclosed by AI model and AI application providers rose from 1.7% of all disclosed unplanned incidents in 2023 to 10.7% in 2026 year to date, roughly a sixfold rise; that counts only incidents at AI companies themselves, so the true share is higher. The second is that the time to close an incident has not come down ...

When an AI assistant gives an incomplete or incorrect answer, teams often blame the model. They adjust prompts, switch models, increase context windows or test a new retrieval strategy. However the model may not be a problem. In many enterprise AI workflows, the problem begins inside the document-ingestion pipeline ...

If you talk to any security or observability teams right now, they're all fighting the same fire: their tooling was built to ingest X, but their sources are pumping Y and soon to be doing Z. The knee-jerk reaction is always the same: we need more platform. However, this reaction is wrong. Let me explain why, because the solution to this problem is foundational, not financial. Instead of hurling yet more money at the problem, make sure you've done what's needed upstream ...

Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...