Keysight Technologies Enhances PathWave Software Suite

Keysight Technologies expanded the company's PathWave Software Suite with new and enhanced capabilities.

The new PathWave solutions enable engineers to remove computational limitations across the workflow, with cloud processing clusters, to improve designs and device reliability, while reducing project risk.

Design and test engineers are struggling with complexity limitations that require weeks, if not months, of crunching data which can significantly slow the development process and market introduction. Keysight's PathWave, an open, scalable, and predictive software platform, offers fast and efficient data processing, sharing and analysis at every stage in the product development workflow. Combining design software, instrument control and application-specific test software, it enables engineers to address increasing design, test, and measurement complexity and develop optimal electronic products.

"Keysight continues to invest in software solutions through new capabilities in our PathWave platform," said Jay Alexander, CTO at Keysight Technologies. "We are confident these new capabilities will enable our customers to bring computational power into their own design and test workflows - accelerating time to results, time to insights, and ultimately time to market."

Further strengthening the capabilities of PathWave, Keysight is launching 5 new and enhanced software solutions that leverage the power of cloud processing to address computational limitations throughout the design process, including:

■ PathWave Advanced Design System (ADS) Software 2021

Now equipped with design cloud simulation services, PathWave ADS 2021 software reduces simulation time, increases simulation test coverage and provides access to scalable hardware resources in the cloud. This new software solution eliminates barriers to developing high performance hardware products by enabling design engineers for mobile and computer chipsets to:

- Perform compute intense electromagnetic simulations with on-premise clusters or scalable cloud hardware.

- Tackle large electromagnetic simulations that were previously unsolvable due to resource limitations.

■ PathWave Compliance Test Software

System test engineers characterizing compliance standards for mobile and computer chipsets need to perform rapid compliance tests without the added expense of purchasing hardware. The new architecture of PathWave Compliance Test software offers measurement disaggregation and integrates seamlessly into a test automation workflow along with test automation and data analytics software, enabling system test engineers to:

- Speed transmitter compliance tests by separating physical measurement from data processing in the cloud.

- Run signal acquisition and measurement in parallel rather than in series reducing overall test time.

■ PathWave Test Automation Software

PathWave Test Automation software enables engineers to execute with speed, scale and ease with open and modular software. However, test engineers required to use multiple instruments have an added layer of difficulty resulting from the complex programming needed to connect these instruments. The new enhanced version of this software enables test engineers to:

- Easily optimize multiple instruments setups with resource arbiter and timing analyzer tools.

- Seamlessly integrate with existing automated test system workflow to minimize setup time while allowing for scalability.

■ PathWave Measurement Analytics Software

PathWave Test and Measurement Analytics software provides a simple and powerful user interface for data visualization and analytics. It captures and stores test data with real-time access, can import data from various sources in multiple formats, and integrates data analytics into test processes with the open Application Program Interface (API).

Enhancements to PathWave Test and Measurement Analytics software now enable design validation test (DVT) and production engineers to visualize and analyze measurement data in the cloud without the need to create spreadsheets. As a result, these engineers gain:

- Greater insight into data with a scalable, high-performance data repository to speed engineering decisions.

- Fast and accurate test analysis and troubleshooting to accelerate both DVT and production testing.

■ PathWave Manufacturing Analytics Software

PathWave Manufacturing Analytics software is Keysight's Industry 4.0 big data advanced analytics platform that helps customers to improve product quality and manufacturing operations. Keysight has partnered with Kx to launch the new Workcell edition for today's smart factories. Built on kdb+, the Kx Streaming Analytics platform enables customers to accelerate Industry 4.0 adoption by analyzing massive test data from production systems in real-time, providing automation and analytics for actionable insights in microseconds, while also reducing hardware costs.

Key customer benefits of PathWave Manufacturing Analytics software include:

- Acquisition – enables customers to connect, acquire real-time and transform test data from test systems seamlessly.

- Automation – customers can automate complex workflows to increase productivity.

- Analytics – customers can leverage tested machine learning models that provide actionable insight.

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Keysight Technologies Enhances PathWave Software Suite

Keysight Technologies expanded the company's PathWave Software Suite with new and enhanced capabilities.

The new PathWave solutions enable engineers to remove computational limitations across the workflow, with cloud processing clusters, to improve designs and device reliability, while reducing project risk.

Design and test engineers are struggling with complexity limitations that require weeks, if not months, of crunching data which can significantly slow the development process and market introduction. Keysight's PathWave, an open, scalable, and predictive software platform, offers fast and efficient data processing, sharing and analysis at every stage in the product development workflow. Combining design software, instrument control and application-specific test software, it enables engineers to address increasing design, test, and measurement complexity and develop optimal electronic products.

"Keysight continues to invest in software solutions through new capabilities in our PathWave platform," said Jay Alexander, CTO at Keysight Technologies. "We are confident these new capabilities will enable our customers to bring computational power into their own design and test workflows - accelerating time to results, time to insights, and ultimately time to market."

Further strengthening the capabilities of PathWave, Keysight is launching 5 new and enhanced software solutions that leverage the power of cloud processing to address computational limitations throughout the design process, including:

■ PathWave Advanced Design System (ADS) Software 2021

Now equipped with design cloud simulation services, PathWave ADS 2021 software reduces simulation time, increases simulation test coverage and provides access to scalable hardware resources in the cloud. This new software solution eliminates barriers to developing high performance hardware products by enabling design engineers for mobile and computer chipsets to:

- Perform compute intense electromagnetic simulations with on-premise clusters or scalable cloud hardware.

- Tackle large electromagnetic simulations that were previously unsolvable due to resource limitations.

■ PathWave Compliance Test Software

System test engineers characterizing compliance standards for mobile and computer chipsets need to perform rapid compliance tests without the added expense of purchasing hardware. The new architecture of PathWave Compliance Test software offers measurement disaggregation and integrates seamlessly into a test automation workflow along with test automation and data analytics software, enabling system test engineers to:

- Speed transmitter compliance tests by separating physical measurement from data processing in the cloud.

- Run signal acquisition and measurement in parallel rather than in series reducing overall test time.

■ PathWave Test Automation Software

PathWave Test Automation software enables engineers to execute with speed, scale and ease with open and modular software. However, test engineers required to use multiple instruments have an added layer of difficulty resulting from the complex programming needed to connect these instruments. The new enhanced version of this software enables test engineers to:

- Easily optimize multiple instruments setups with resource arbiter and timing analyzer tools.

- Seamlessly integrate with existing automated test system workflow to minimize setup time while allowing for scalability.

■ PathWave Measurement Analytics Software

PathWave Test and Measurement Analytics software provides a simple and powerful user interface for data visualization and analytics. It captures and stores test data with real-time access, can import data from various sources in multiple formats, and integrates data analytics into test processes with the open Application Program Interface (API).

Enhancements to PathWave Test and Measurement Analytics software now enable design validation test (DVT) and production engineers to visualize and analyze measurement data in the cloud without the need to create spreadsheets. As a result, these engineers gain:

- Greater insight into data with a scalable, high-performance data repository to speed engineering decisions.

- Fast and accurate test analysis and troubleshooting to accelerate both DVT and production testing.

■ PathWave Manufacturing Analytics Software

PathWave Manufacturing Analytics software is Keysight's Industry 4.0 big data advanced analytics platform that helps customers to improve product quality and manufacturing operations. Keysight has partnered with Kx to launch the new Workcell edition for today's smart factories. Built on kdb+, the Kx Streaming Analytics platform enables customers to accelerate Industry 4.0 adoption by analyzing massive test data from production systems in real-time, providing automation and analytics for actionable insights in microseconds, while also reducing hardware costs.

Key customer benefits of PathWave Manufacturing Analytics software include:

- Acquisition – enables customers to connect, acquire real-time and transform test data from test systems seamlessly.

- Automation – customers can automate complex workflows to increase productivity.

- Analytics – customers can leverage tested machine learning models that provide actionable insight.

The Latest

When the Database Is the Problem, Is APM Enough?

Production incidents rarely announce themselves as database problems. They appear as slow transactions, timeouts, rising response times, or an application struggling under a workload it previously handled. APM provides an essential starting point. It can identify a slow transaction path, highlight an affected service, and show that a database dependency is consuming more time than expected. But identifying the database as part of the problem is not the same as explaining what is happening inside it ...

From Cleanup to Prevention: The Future of Cloud-Native Cost Optimization

Cloud teams are under constant pressure to reduce spend without slowing development or increasing operational risk. They are deploying autoscalers, rightsizing workloads, enforcing resource requests, reviewing utilization dashboards, and building FinOps processes around cloud-native environments. Yet the results often disappoint ...

The Real Enterprise AI Risk Isn't Hallucinations

Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

Beyond Buy vs. Build: The New Playbook for Data Pipelines

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

The Corporate Network Is Fading - Here's What Replaces It

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

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As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

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Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

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Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...