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Paessler Launches Public BETA of BitDecoder

Paessler AG announced the launch of its BitDecorder – a SaaS application that decodes payloads from Sigfox 0G-connected devices.

BitDecoder takes encoded payload data from Sigfox 0G-connected IoT devices and transforms it into a visual and more easily readable format, namely a decoded JSON format. It is designed to help organizations structure, market and decode complex payloads more simply and efficiently.

Benefits of BitDecoder:

- Highly visual format – transforms encoded hexadecimal payload into decoded JSON format

- Saves time using pre-defined device templates – the BitDecoder comes with many templates for multiple devices saving development time and effort

- No programming skills are required – simple selection of the device type from a template list

- Hosted infrastructure – no need for a dedicated machine and its associated maintenance costs

- Easy to maintain and customizable – cloning and editing templates can be created to meet specific project needs

The BitDecoder can send data directly to a chosen endpoint. Users simply choose from Azure IoT Hub, AWS IoT, PRTG Network Monitor, Paessler’s monitoring solution capable of providing an overview of IT and IoT infrastructures and services, or they create their own HTTP or MQTT integration for an endpoint. Decoded data is processed and passed on but never stored, giving users complete end-to-end control.

Helmut Binder, Paessler AG CEO: “The launch of the public BETA of the BitDecoder marks an important step in Paessler’s ambition to offer new solutions in the IoT field. This product expands our SaaS offering for the digitalization of any Sigfox 0G-connected devices. It was designed to make things as easy as possible for those who need to decode, transcode and transfer payloads from Sigfox 0G-connected devices towards digitized clouds.”

Aurelius Wosylus, CSO at Sigfox Germany, explains the need for such SaaS tools: ”The BitDecoder offers a data turntable and adapter functionality between dedicated Sigfox 0G objects and any application cloud. This is an important feature, as the Sigfox protocol has its own data structure and as each Sigfox 0G device manufacturer can define their own payload. BitDecoder helps application engineers to read, analyse and translate this IoT machine code into any format needed and transfer it to any target cloud.”

Sigfox sensor vendors often offer a dedicated cloud platform for their specific devices. These cloud platforms usually provide a dashboard for evaluation purposes only, but B2B customer demands are much more complex. They may be implementing solutions at multiple customer sites, with multiple parties involved from project inception to operation. To address these demands effectively, an adapter is needed to cover various use cases connected to one or even more customer applications. This makes the middleware a key success factor in B2B IoT environments. Paessler’s BitDecoder offers a versatile solution that is aimed to connect any Sigfox device to any platform – a true middleware solution.

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Paessler Launches Public BETA of BitDecoder

Paessler AG announced the launch of its BitDecorder – a SaaS application that decodes payloads from Sigfox 0G-connected devices.

BitDecoder takes encoded payload data from Sigfox 0G-connected IoT devices and transforms it into a visual and more easily readable format, namely a decoded JSON format. It is designed to help organizations structure, market and decode complex payloads more simply and efficiently.

Benefits of BitDecoder:

- Highly visual format – transforms encoded hexadecimal payload into decoded JSON format

- Saves time using pre-defined device templates – the BitDecoder comes with many templates for multiple devices saving development time and effort

- No programming skills are required – simple selection of the device type from a template list

- Hosted infrastructure – no need for a dedicated machine and its associated maintenance costs

- Easy to maintain and customizable – cloning and editing templates can be created to meet specific project needs

The BitDecoder can send data directly to a chosen endpoint. Users simply choose from Azure IoT Hub, AWS IoT, PRTG Network Monitor, Paessler’s monitoring solution capable of providing an overview of IT and IoT infrastructures and services, or they create their own HTTP or MQTT integration for an endpoint. Decoded data is processed and passed on but never stored, giving users complete end-to-end control.

Helmut Binder, Paessler AG CEO: “The launch of the public BETA of the BitDecoder marks an important step in Paessler’s ambition to offer new solutions in the IoT field. This product expands our SaaS offering for the digitalization of any Sigfox 0G-connected devices. It was designed to make things as easy as possible for those who need to decode, transcode and transfer payloads from Sigfox 0G-connected devices towards digitized clouds.”

Aurelius Wosylus, CSO at Sigfox Germany, explains the need for such SaaS tools: ”The BitDecoder offers a data turntable and adapter functionality between dedicated Sigfox 0G objects and any application cloud. This is an important feature, as the Sigfox protocol has its own data structure and as each Sigfox 0G device manufacturer can define their own payload. BitDecoder helps application engineers to read, analyse and translate this IoT machine code into any format needed and transfer it to any target cloud.”

Sigfox sensor vendors often offer a dedicated cloud platform for their specific devices. These cloud platforms usually provide a dashboard for evaluation purposes only, but B2B customer demands are much more complex. They may be implementing solutions at multiple customer sites, with multiple parties involved from project inception to operation. To address these demands effectively, an adapter is needed to cover various use cases connected to one or even more customer applications. This makes the middleware a key success factor in B2B IoT environments. Paessler’s BitDecoder offers a versatile solution that is aimed to connect any Sigfox device to any platform – a true middleware solution.

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In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...