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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

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

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

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...