Skip to main content

Variscite and Memfault Partner on IoT/Embedded Device Observability

Variscite announced a partnership with Memfault to expand Variscite SoM management, security, and over-the-air (OTA) capabilities. 

This collaboration gives Variscite customers access to Memfault’s platform for comprehensive device monitoring, debugging, and remote updates.

Memfault offers a platform for monitoring, debugging, and securely updating embedded/IoT devices deployed in the field. The system collects critical data including crashes, errors, health metrics, and usage analytics, allowing developers to detect and resolve issues quickly, even in remote environments. To complete the process, the system also supports secure over-the-air (OTA) updates, enabling rapid deployment of fixes and improvements. This significantly shortens detection and resolution times from weeks or months to just days.

The platform is fully compatible with Variscite SoMs running Linux, Android, or real-time operating systems and suitable for all Variscite modules, including SoMs based on the NXP i.MX 9, i.MX 8, i.MX 7, and i.MX 6 series, as well as the Texas Instruments Sitara AM62 series of application processors. It requires low power and minimal memory usage, and supports a wide range of connectivity options, including Bluetooth and Wi-Fi.

"Consumer and industrial users rely on their connected devices, yet it’s notoriously difficult for developers to identify and solve issues, let alone monitor battery performance, system crashes, or boot failures without the Memfault platform," said Justin Platt, Memfault Director of Partnerships. "Our integration with Variscite’s reliable hardware infrastructure is production-ready and this partnership makes it simple for customers to get complete visibility into device performance and quality in the field."

"With Memfault's platform now available to Variscite customers, developers can have enhanced insights into their software and greater control throughout their product’s lifecycle,” said Ofer Austerlitz, VP of Business Development and Sales at Variscite. "Combined with Variscite’s production-ready solutions that accelerate time to market, this partnership further supports our shared goal: helping customers bring reliable products to market, faster."

This solution can be valuable for customers developing devices with zero tolerance for bugs or performance issues, such as medical devices. Variscite’s extensive compliance commitments, including the ISO 13485 medical certification, combined with Memfault’s tools, support the high standards required for mission-critical applications. Additionally, Memfault helps streamline regulatory compliance through SOC 2 accreditation, GDPR support, and readiness for evolving requirements like the EU Data Act and the Cyber Resilience Act. 

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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.

Variscite and Memfault Partner on IoT/Embedded Device Observability

Variscite announced a partnership with Memfault to expand Variscite SoM management, security, and over-the-air (OTA) capabilities. 

This collaboration gives Variscite customers access to Memfault’s platform for comprehensive device monitoring, debugging, and remote updates.

Memfault offers a platform for monitoring, debugging, and securely updating embedded/IoT devices deployed in the field. The system collects critical data including crashes, errors, health metrics, and usage analytics, allowing developers to detect and resolve issues quickly, even in remote environments. To complete the process, the system also supports secure over-the-air (OTA) updates, enabling rapid deployment of fixes and improvements. This significantly shortens detection and resolution times from weeks or months to just days.

The platform is fully compatible with Variscite SoMs running Linux, Android, or real-time operating systems and suitable for all Variscite modules, including SoMs based on the NXP i.MX 9, i.MX 8, i.MX 7, and i.MX 6 series, as well as the Texas Instruments Sitara AM62 series of application processors. It requires low power and minimal memory usage, and supports a wide range of connectivity options, including Bluetooth and Wi-Fi.

"Consumer and industrial users rely on their connected devices, yet it’s notoriously difficult for developers to identify and solve issues, let alone monitor battery performance, system crashes, or boot failures without the Memfault platform," said Justin Platt, Memfault Director of Partnerships. "Our integration with Variscite’s reliable hardware infrastructure is production-ready and this partnership makes it simple for customers to get complete visibility into device performance and quality in the field."

"With Memfault's platform now available to Variscite customers, developers can have enhanced insights into their software and greater control throughout their product’s lifecycle,” said Ofer Austerlitz, VP of Business Development and Sales at Variscite. "Combined with Variscite’s production-ready solutions that accelerate time to market, this partnership further supports our shared goal: helping customers bring reliable products to market, faster."

This solution can be valuable for customers developing devices with zero tolerance for bugs or performance issues, such as medical devices. Variscite’s extensive compliance commitments, including the ISO 13485 medical certification, combined with Memfault’s tools, support the high standards required for mission-critical applications. Additionally, Memfault helps streamline regulatory compliance through SOC 2 accreditation, GDPR support, and readiness for evolving requirements like the EU Data Act and the Cyber Resilience Act. 

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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.