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Ipswitch Announces WhatsUp Gold 2017 Plus

Ipswitch announced the upcoming availability of the 2017 Plus version of WhatsUp Gold network monitoring with new cloud capabilities, new layers of security and additional user driven enhancements.

Ipswitch has also strengthened existing partner relationships with Cisco, Microsoft, VMware and HP to provide these new product capabilities.

WhatsUp Gold 2017 Plus, available later this summer, adds more flexible monitoring and visibility for the largest networks. WhatsUp Gold 2017 Plus now delivers architectural flexibility with distributed monitoring capabilities, new Managed Service Provider capabilities, improved real-time visibility features for faster Mean Time To Repair and new disaster recovery with enhanced failover capabilities supporting both automated and manual failover.

Following soon after the initial release, Ipswitch will introduce enhancements for WhatsUp Gold that enable monitoring of hybrid IT environments that use Microsoft Azure and Amazon Web Services. Through enhanced partnerships with Microsoft, Cisco, VMware and HP, WhatsUp Gold 2017 Plus also has tighter, more robust integrations with cloud, hardware and applications that IT teams rely on.

“These new capabilities should make WhatsUp Gold even easier to use and implement,” said Shamus McGillicuddy, Senior Analyst, Network Management at Enterprise Management Associates. “The real time monitoring enhancements will be welcomed by the IT community, and the company’s upcoming support for Azure and AWS, as well as updated storage capabilities, address emerging requirements for hybrid IT monitoring."

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Ipswitch Announces WhatsUp Gold 2017 Plus

Ipswitch announced the upcoming availability of the 2017 Plus version of WhatsUp Gold network monitoring with new cloud capabilities, new layers of security and additional user driven enhancements.

Ipswitch has also strengthened existing partner relationships with Cisco, Microsoft, VMware and HP to provide these new product capabilities.

WhatsUp Gold 2017 Plus, available later this summer, adds more flexible monitoring and visibility for the largest networks. WhatsUp Gold 2017 Plus now delivers architectural flexibility with distributed monitoring capabilities, new Managed Service Provider capabilities, improved real-time visibility features for faster Mean Time To Repair and new disaster recovery with enhanced failover capabilities supporting both automated and manual failover.

Following soon after the initial release, Ipswitch will introduce enhancements for WhatsUp Gold that enable monitoring of hybrid IT environments that use Microsoft Azure and Amazon Web Services. Through enhanced partnerships with Microsoft, Cisco, VMware and HP, WhatsUp Gold 2017 Plus also has tighter, more robust integrations with cloud, hardware and applications that IT teams rely on.

“These new capabilities should make WhatsUp Gold even easier to use and implement,” said Shamus McGillicuddy, Senior Analyst, Network Management at Enterprise Management Associates. “The real time monitoring enhancements will be welcomed by the IT community, and the company’s upcoming support for Azure and AWS, as well as updated storage capabilities, address emerging requirements for hybrid IT monitoring."

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In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

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 ...