The Asset Guardian EAM (TAG)
The Asset Guardian (TAG) Mobi is the chosen preventive maintenance and asset management solution (EAM) for Microsoft Dynamics 365 Business Central, designed to deliver reliable manufacturing asset solutions that reduce risk and downtime.
TAG Mobi prevent downtime, maximize asset performance, and accelerate onboarding and training with the support of AI tools and intuitive dashboards.
No silos. No extra software. Just smooth integration and quick adoption—so maintenance teams can work faster, and managers get the data they need to make decisions.
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UptimeRobot
Experience the premier uptime monitoring solution that offers 50 monitors with 5-minute intervals at no cost. Setup takes mere seconds, ensuring you remain updated on your website's performance continuously.
Website monitoring provides immediate notifications if your site experiences downtime, allowing for prompt resolution of issues to safeguard user experience and revenue.
With SSL certificate monitoring, you can prevent visitor loss from expired certificates by receiving alerts 30 days before expiration, ensuring timely renewal.
Ping and port monitoring allows you to verify server availability and the functionality of your email service on port 465, while offering real-time alerts for any monitored port.
Cron job monitoring ensures that scheduled tasks are tracked effectively with heartbeat checks, confirming that both server-side jobs and connected devices operate as intended.
You can create up to 100 customized status pages, secure them with passwords, and allow subscribers to receive real-time updates on operational status.
Stay connected through various notification channels, including email, SMS, voice calls, push alerts, or integrations with platforms such as Slack, Zapier, PagerDuty, Telegram, Discord, Microsoft Teams, and Google Chat, among others.
Additionally, you have the option to pause monitoring during planned maintenance to eliminate unnecessary alerts and streamline your monitoring experience.
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Shift Left
Adopting the Shift Left strategy enables organizations to resolve incidents more swiftly during the initial phases of support. This method allows Level 1, Level 2, and field support technicians to manage frequent user and device issues directly through the ServiceNow incident interface. By removing the need for privileged access to systems like Active Directory, Microsoft Configuration Manager, LAPS, and MBAM, the rate of first-call resolutions can improve significantly. Instead of passing problems up the support chain, Shift Left provides help desk teams with essential tools to carry out tasks such as resetting passwords and unlocking user accounts right from the incident form. This functionality leads to a considerable rise in the volume of issues diagnosed and resolved on the first call. Additionally, technicians have the advantage of viewing past troubleshooting actions taken for a particular incident, which greatly minimizes the chances of duplicating efforts. Ultimately, this refined approach not only boosts the speed of issue resolution but also enhances the overall performance and productivity of support teams. As a result, organizations can achieve higher customer satisfaction and more effective resource allocation.
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ServiceNow Cloud Observability
ServiceNow Cloud Observability offers immediate insights and oversight of cloud infrastructures, applications, and services. This platform empowers organizations to pinpoint and address performance issues by consolidating data from various cloud environments into one unified dashboard. With its sophisticated analytics and alerting capabilities, ServiceNow Cloud Observability enables IT and DevOps teams to recognize anomalies, resolve problems, and maintain peak performance levels. Additionally, the platform incorporates AI-driven insights and automation, equipping teams to react swiftly to incidents. By enhancing operational efficiency, it guarantees a smooth user experience across diverse cloud environments, ultimately helping businesses achieve their technological goals.
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