
APCON announced a new release of its TitanXR switch management software.
This latest release introduces the new IntellaTap-VE feature, making TitanXR a complete virtual network monitoring system with simple point-and-click monitoring of Linux-based KVM virtual machine traffic. TitanXR’s expanded functionality includes centralized physical and virtual network status alerts and alerts to APCON’s mobile application.
“With APCON’s network visibility products, customers can seamlessly monitor both their virtual and physical networks, increase security and lower their budget through a unified monitoring architecture,” said Richard Rauch, President and CEO of APCON. “A major advantage for users in a virtualized environment is that IntellaTap-VE doesn’t require the deployment of additional agents or VM software, minimizing the impact on network resources and staffing.”
APCON’s IntellaTap-VE communicates to standard Linux KVM hypervisors to easily identify and enable taps of virtual machine traffic, set traffic filters, follow migration events and forward traffic over unidirectional GRE tunnels to monitoring systems. The IntellaTap-VE can aggregate multiple streams of virtual traffic and forward the traffic to one or more security, application and network performance monitoring tools.
With TitanXR, a centralized monitoring and management software, users can select a traffic filter for each IntellaTap-VE virtual machine tap on the server. The filter only forwards traffic of interest to security and network or application performance monitoring tools, thus reducing the impact on valuable server and physical network resources.
APCON’s TitanXR and IntellaTap-VE virtual monitoring solution is available immediately for general release. IntellaTap-VE is a separate licensed feature of TitanXR.
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 ...