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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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As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

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