LiveAction announced the worldwide release of LiveSP, a network monitoring platform for global network service providers.
LiveSP is a highly scalable, multi-tenant network performance monitoring platform that is application aware, features built-in network analytics for easy monitoring, and offers fast, customizable reporting.
The latest release of LiveSP features:
- Easy integration with multi-vendor standard customer premise equipment (CPE): Enables service providers to quickly get LiveSP up and running on their existing network infrastructure as a branded or white label offering.
- Support for multi-vendor SD-WANs: With more than 40 SD-WAN solutions currently on the market, LiveSP has been designed to support the industry’s leading offerings, therefore making it easier to monitor Cisco SD-WAN including IWAN and Viptela and Nokia Nuage.
- Customizable reports, alerts and dashboards: To quickly provide both high-level overviews and deeper insights into network performance, KPIs, and other critical factors based on a customer’s specific needs.
- Advanced rights management: LiveSP simplifies client deployments for service providers, therefore enforcing security policies and reducing the workload required to manage thousands of enterprise users.
- Greater application visibility across the network to quickly identify and resolve potential issues before they impact the customer’s experience and the service provider’s reputation.
The Latest
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 ...
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 ...