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Paessler PRTG Data Hub Released

Paessler announced its latest PRTG extension: Paessler PRTG Data Hub enables IT professionals and their organizations to reduce costs, optimize network traffic, and streamline compliance management.

By enabling IT professionals to filter and forward log data intelligently, it ensures seamless collaboration across ITOps, DevOps, SRE, and SecOps teams while addressing evolving regulatory demands.

PRTG Data Hub processes log data efficiently, allowing it to be filtered by protocol, severity, and relevance before being distributed to multiple endpoints, such as SIEM platforms, PRTG, or other analytics tools. This enables long-term storage and advanced analysis while reducing redundancies, lowering network traffic, and cutting overall logging costs. By simplifying audits and supporting regulations like NIS2, NIST, and TISAX, PRTG Data Hub bridges the gap between IT and security teams, fostering collaboration and ensuring compliance with industry standards.

As IT environments grow increasingly complex, the ability to manage syslog data effectively is essential. PRTG Data Hub’s filtering and forwarding capabilities empower organizations to focus on what matters most—storing high-severity logs securely while summarizing or discarding low-priority data. This targeted approach not only reduces storage costs but also minimizes network load, enabling IT departments to work more effectively with their security counterparts to address critical incidents quickly.

PRTG Data Hub ensures the immutability of log data during processing and forwarding, maintaining the integrity of sensitive information. By preserving this immutability, organizations can rely on tamper-proof records for compliance and audit purposes. This makes it easier to meet regulatory requirements and ensures that logs remain a trusted source of information across the enterprise.

“We listened to our customers’ needs and focused on delivering a solution that enhances efficiency, saves costs, and prepares them for the challenges of tomorrow’s IT landscape,” says Helmut Binder, CEO of Paessler GmbH. “PRTG Data Hub reduces logging overhead, enables seamless team collaboration, and helps organizations comply with complex regulations, all while expanding the functionalities of our products to deliver lasting value.”

PRTG Data Hub represents a significant step towards future-ready monitoring. By enhancing data collection, processing, and distribution capabilities, it simplifies log management while reducing infrastructure costs. The extension will officially launch in December 2024 for Linux systems, with Windows support planned for next year. PRTG Data Hub is included with PRTG subscription licenses of 2500 sensors or more.

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Paessler PRTG Data Hub Released

Paessler announced its latest PRTG extension: Paessler PRTG Data Hub enables IT professionals and their organizations to reduce costs, optimize network traffic, and streamline compliance management.

By enabling IT professionals to filter and forward log data intelligently, it ensures seamless collaboration across ITOps, DevOps, SRE, and SecOps teams while addressing evolving regulatory demands.

PRTG Data Hub processes log data efficiently, allowing it to be filtered by protocol, severity, and relevance before being distributed to multiple endpoints, such as SIEM platforms, PRTG, or other analytics tools. This enables long-term storage and advanced analysis while reducing redundancies, lowering network traffic, and cutting overall logging costs. By simplifying audits and supporting regulations like NIS2, NIST, and TISAX, PRTG Data Hub bridges the gap between IT and security teams, fostering collaboration and ensuring compliance with industry standards.

As IT environments grow increasingly complex, the ability to manage syslog data effectively is essential. PRTG Data Hub’s filtering and forwarding capabilities empower organizations to focus on what matters most—storing high-severity logs securely while summarizing or discarding low-priority data. This targeted approach not only reduces storage costs but also minimizes network load, enabling IT departments to work more effectively with their security counterparts to address critical incidents quickly.

PRTG Data Hub ensures the immutability of log data during processing and forwarding, maintaining the integrity of sensitive information. By preserving this immutability, organizations can rely on tamper-proof records for compliance and audit purposes. This makes it easier to meet regulatory requirements and ensures that logs remain a trusted source of information across the enterprise.

“We listened to our customers’ needs and focused on delivering a solution that enhances efficiency, saves costs, and prepares them for the challenges of tomorrow’s IT landscape,” says Helmut Binder, CEO of Paessler GmbH. “PRTG Data Hub reduces logging overhead, enables seamless team collaboration, and helps organizations comply with complex regulations, all while expanding the functionalities of our products to deliver lasting value.”

PRTG Data Hub represents a significant step towards future-ready monitoring. By enhancing data collection, processing, and distribution capabilities, it simplifies log management while reducing infrastructure costs. The extension will officially launch in December 2024 for Linux systems, with Windows support planned for next year. PRTG Data Hub is included with PRTG subscription licenses of 2500 sensors or more.

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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 ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...