Connect PagerDuty with Libelium for increased visibility of any issues reported by your IoT sensors or devices. In just a few minutes you’ll be set to receive automatic PagerDuty alerts when a sensor returns abnormal data.
Use Connect iPaaS to automatically create incidents in ServiceNow in response to any abnormal data returned by IoT sensors or devices. Decrease response time by integrating Libelium with your incident response platform.
Without granular data for predictive analytics, it is difficult to know how variable elements have impacted the physiology of the grape. The grape’s weaknesses cannot be compensated for—and strengths cannot be enhanced. Without agrotechnology such as Libelium, decisions are based on assumptions rather than data. Profits may not be maximized, and crops can be diminished or lost.
Integrating Libelium with RoboMQ’s Connect iPaaS enables custom workflow design for timely, data-driven decisions and predictive analytics. IoT sensors monitor growing conditions, detecting humidity, temperature and light. Sensors communicate with the Libelium application, and certain readings trigger events in other applications, such as Slack, PagerDuty, SMS, or actuators. This custom workflow allows for timely response and reaction, optimizing crop management.
Without granular data for predictive analytics, it is difficult to know how variable elements have impacted the physiology of the grape. The grape’s weaknesses cannot be compensated for—and strengths cannot be enhanced. Without agrotechnology such as Libelium, decisions are based on assumptions rather than data. Profits may not be maximized, and crops can be diminished or lost.
Integrating Libelium with RoboMQ’s Connect iPaaS enables custom workflow design for timely, data-driven decisions and predictive analytics. IoT sensors monitor growing conditions, detecting humidity, temperature and light. Sensors communicate with the Libelium application, and certain readings trigger events in other applications, such as Slack, PagerDuty, SMS, or actuators. This custom workflow allows for timely response and reaction, optimizing crop management.
Dense commercial and residential traffic in urban areas often creates parking shortages. Drivers wait for coveted spots or drive around waiting for availability, creating congestion. Searching for a parking space wastes time and fuel and increases driver stress and air pollution. A poor parking experience deters return customers.
Providing poor customer parking experience hampers revenue generation, which impacts the tax base. Frustrated customers choose to patronize establishments in areas with ample parking.
Devices with IoT sensors installed on the roadway surface transmit availability data through the Libelium application. Libelium flows information through Connect, which disperses parking availability data to the customer’s preferred application via Connect.
Dense commercial and residential traffic in urban areas often creates parking shortages. Drivers wait for coveted spots or drive around waiting for availability, creating congestion. Searching for a parking space wastes time and fuel and increases driver stress and air pollution. A poor parking experience deters return customers.
Providing poor customer parking experience hampers revenue generation, which impacts the tax base. Frustrated customers choose to patronize establishments in areas with ample parking.
Devices with IoT sensors installed on the roadway surface transmit availability data through the Libelium application. Libelium flows information through Connect, which disperses parking availability data to the customer’s preferred application via Connect.
Manufacturing companies lacked automated processes and relied on employees to notice mechanical failures.
When an element of the production line failed, there lacked a process in place to communicate the change in status, increasing incident response time. Quotas and deadlines were missed, impacting revenue and fulfillment.
Libelium devices with IoT sensors and Connect-based integrations were utilized to monitor physical factory processes. When there is a breakdown or critical change in status, the incident manager receives a message through his or her preferred communication. Real-time and historical data could be analyzed for continuous process improvement, data-driven decision making and proactive manufacturing maintenance. Managers can immediately respond to production line failures and reduce downtime.
Manufacturing companies lacked automated processes and relied on employees to notice mechanical failures.
When an element of the production line failed, there lacked a process in place to communicate the change in status, increasing incident response time. Quotas and deadlines were missed, impacting revenue and fulfillment.
Libelium devices with IoT sensors and Connect-based integrations were utilized to monitor physical factory processes. When there is a breakdown or critical change in status, the incident manager receives a message through his or her preferred communication. Real-time and historical data could be analyzed for continuous process improvement, data-driven decision making and proactive manufacturing maintenance. Managers can immediately respond to production line failures and reduce downtime.
