rSIM in Action: How Real-World Network Outages Are Detected and Resolved
Connectivity resilience is often discussed in theory. Uptime metrics are quoted, failover is expected, and redundancy is assumed. What is rarely shown is what actually happens during a real network event, and how a SIM and device behave when connectivity begins to fail.
Rather than focusing only on architecture or capability, this article looks at how rSIM performs during a live network outage. The data highlights how issues develop, how they are detected, and what that means for maintaining service in critical IoT environments.
Understanding Real Network Failures
Not all network failures present as clear, large-scale outages. Many develop as partial or intermittent issues that are harder to detect and resolve. In these situations, devices may remain attached to the network and continue to show signal, while the data session becomes unstable or stops passing traffic altogether.
For the end user, the outcome is the same. The service is no longer working as expected, even though it may still appear connected. These types of failures often occur upstream and beyond the radio layer and do not always trigger an obvious loss of service.
Common examples of these failures include:
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Configuration or change-related errors during maintenance or upgrades
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Software or firmware faults affecting core network functions
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Signaling surges and congestion that prevent stable session establishment
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Routing, transport, or core service issues that interrupt data flow
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Power or hardware failures affecting sites or network infrastructure
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Backhaul and fiber disruptions, including failures in third-party infrastructure
A Step-by-Step View of a Real Outage
Using live deployment and monitoring data, it is possible to break down the sequence of events during a recent network outage and examine how rSIM responds at each stage.
At the outset, devices were operating normally on the primary network. As designed, rSIM was continuously testing the connection in the background, verifying that data was passing correctly.
Time |
MNO Timeline |
rSIM Timeline |
| 11:58 pm | Intermittent connectivity issues begin | rSIM polling begins to fail and detect connectivity issues |
| 12:03 am | rSIM identifies outage and triggers failover to backup profile | |
| 12:04 am | Connectivity restored for switched rSIM devices | |
| 12:13 am | rSIM polling resumes and traffic stabilizes on secondary MNO profile | |
| 12:20 am | Issue first detected at network level | rSIM maintains service without interruption |
| 1:19 am | ||
| 1:19 am | Outage first communicated to customers — no resolution yet | |
| 2:21 am | Root cause and mitigation identified | |
| 2:30 am | Root cause resolved | |
| 9:49 am | rSIM devices begin controlled return to primary profile, avoiding signaling surges | |
| 2:15 pm | Fallback process completed |
Because rSIM actively validates the data and voice connection, it was able to identify that the data path was no longer performing as expected. Once confirmed, the SIM initiated a switch to its secondary operator profile, hosted on a separate core network.
This transition occurred within minutes and required no input from the device or external systems. Once the switch was complete, data transmission resumed and service continuity was maintained.
Key Findings from the Real Deployment Data
This outage provides a clear view of how connectivity behaves in real-world conditions, and where resilience delivers measurable value. With rSIM®, network downtime can be reduced from hours to minutes.
Not all connectivity issues appear as major outages. Many occur as short or intermittent failures that are difficult to detect but still disrupt service.
This data shows that even short periods of instability can add up to meaningful downtime. By continuously validating the connection and responding in real time, rSIM ensures these issues are addressed before they impact the end user.
Early Detection at the Edge
• rSIM identified connectivity issues before they were formally recognized at network level
• Detection was enabled by continuous polling of the data session
• Particularly effective during signaling-related and intermittent failures
• Highlights the difference between network visibility and real-time service performance at the device level
Hundreds of Critical Events Successfully Delivered
• Alerts were transmitted during the outage using the secondary profile at scale
• Each event relied on a functioning data connection
• Without rSIM, these alerts would have been at risk of failure
• Demonstrates the importance of maintaining service continuity in life or mission-critical applications
Downtime Reduced from Hours to Minutes
• Network-level outage duration: ~2.5 hours
• rSIM-affected downtime: ~4 minutes
• Failover occurred shortly after connection degradation was detected
• Reduced visible impact for end users and service providers
The Hidden Impact of Short Outages
• rSIM spent up to 0.5% of time on the secondary profile over a month
• Equivalent to approximately 3 hours 39 minutes of disrupted primary connectivity
• These were not always recorded as formal outages
• Still represent real periods where data was not reliably flowing
From Capability to Proven Performance
Resilience is often discussed as a feature. This data shows how it performs in real-world conditions. rSIM continuously validates the connection, identifies when it is no longer working as expected, and maintains service by switching profiles when required. These actions are based on live deployment behavior, not theoretical scenarios. As IoT deployments continue to scale, the ability to verify and maintain connectivity at the edge is becoming increasingly important. Ensuring that a connection is actively working, rather than simply attached, is key to delivering reliable service.
Want to see the full data behind rSIM’s performance?
Download the rSIM White Paper to explore how dual-core SIM technology detects outages early, reduces downtime, and maintains connectivity across critical IoT deployments.
Download the White Paper:
14 April 2026 
