Savision, a subsidiary of network performance management solutions provider Martello Technologies Group, has joined the Paessler Uptime Alliance to offer PRTG users a consolidated view of all IT systems from a single dashboard using the Savision iQ software.
First announced in April 2018, the alliance is designed to help the company’s partners integrate comprehensive, advanced IT infrastructure monitoring in their offerings to help prevent downtime of critical IT systems.
Martello’s Savision iQ software transforms infrastructure and application monitoring data into dashboards that automate and unify IT operations with IT service management workflows. Savision iQ integrates with more than 35 applications, including the PRTG enterprise IT monitoring solution.
The Savision iQ and PRTG out-of-the-box integration provides a solution that discovers, analyzes, and even solves IT issues before they become a problem. The combined solution gathers information from multiple sources such as monitoring tools, cloud platforms, and ITSM systems. PRTG monitors the entire IT suite on a 24/7 basis and sends issues and anomalies to Savision iQ. These issues are correlated and analyzed using automated incident workflows for improved troubleshooting and resolution. Savision iQ is designed to handle a large volume of data, allowing multiple PRTG instances to be rendered and viewed in a single dashboard. This makes the solution suitable for networks of all sizes.
“It’s well-known that system outages seriously impact enterprise bottom-line performance,” says Paessler AG CEO Christian Twardawa. “Our Uptime Alliance program offers the opportunity to combine best-of-breed technology, in this case the Savision ITOps solution, with PRTG to not only to detect system failures in the enterprise as soon as they occur, but to also track long term changes in network performance and network usage. It is critical for businesses to identify potential problems before they become a serious threat.”
The Latest
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 ...