Viavi Solutions announced the availability of NITRO® AIOps on Google Cloud, creating a solution that leverages VIAVI network analytics solutions and Google Cloud's native service capabilities.
The collaboration aims to address critical challenges faced by Communication Service Providers (CSPs) and unlock new opportunities for network intelligence and optimization.
NITRO AIOps empowers CSPs to evolve their legacy NOC to Dark NOC and delivers end-to-end network visibility across a wide range of network platforms, including those for cloud and IoT.
The critical challenges addressed by NITRO AIOps include:
- Network Performance Optimization: NITRO AIOps enables CSPs to proactively monitor and optimize network performance. By identifying potential bottlenecks and anomalies, CSPs can take timely actions to ensure seamless network operations and consistent, high-quality service delivery.
- Enhanced Customer Experience: With granular insights into customer behavior and usage patterns, the solution allows CSPs to tailor services to individual preferences. This results in personalized offerings, improved customer satisfaction, and increased loyalty.
- Capacity Planning and Resource Management: The solution's AI-driven analytics aids CSPs in effective capacity planning and resource management. By optimizing network resources, CSPs can achieve better resource utilization and cost efficiency.
- Real-Time Anomaly Detection: AIOps empowers CSPs with real-time issue detection, enabling swift response to network anomalies and potential service disruptions, minimizing downtime and enhancing network reliability.
- Predictive Maintenance and Quality Assurance: By predicting potential network issues and faults, the solution helps CSPs adopt a proactive approach to maintenance and quality assurance, ultimately leading to improved service quality and reduced operational costs.
“VIAVI constantly strives to provide innovative solutions and purposeful industry partnerships that address emerging opportunities in our markets. This partnership enables the transition to cloud-based networks with end-to-end visibility. Working with Google Cloud, we are pleased to offer critical problem-solving solutions for service providers as part of their native cloud services,” said Deepak Shahane, VP and GM, Service Enablement, VIAVI. “As this partner demonstration shows, we aim to enable the industry to leverage VIAVI capabilities to improve operations and management that includes fully validated, provisioned, and observable networks in any use case.”
VIAVI NITRO AIOps offers a comprehensive suite of advanced analytics tools tailored for CSPs. With real-time data collection and analysis, the solution provides deep insights into network performance, customer behavior, and service quality. Utilizing advanced algorithms and machine learning, NITRO AIOps empowers CSPs to make data-driven decisions, optimize their networks, and enhance customer experiences.
Beyond AIOps, the VIAVI portfolio includes a growing line of cloud-hosted and cloud-enabling solutions that are unmatched in breadth and help keep customers’ business moving before, during, and after migration to the cloud. This includes the most comprehensive test suite on the market for lab validation, field deployment and service assurance of O-RAN networks, Fusion automated testing, Private Network Intelligence, the ONMSi remote fiber test system, and Observer network performance monitoring and diagnostics. Many of these solutions are enabled by the Network Integrated Test, Real-Time Analytics and Optimization (NITRO) platform and are available today directly and through critical partners such as Google Cloud.
The Latest
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 ...
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 ...