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SmartBear Adds AlertSite Support for OpenAPI

SmartBear announced support for OpenAPI Specification (OAS) in AlertSite.

The new OpenAPI support in AlertSite allows teams to leverage their existing OpenAPI Specification (formerly known as the Swagger Specification) files to create API monitors seamlessly and instantly, driving standardization from design to deployment.

With the new OpenAPI support in AlertSite, development and operations teams can instantly create API monitors from their existing OAS files, thereby extending OAS standardization from design to deployment and gaining actionable insights into the performance and availability of their APIs.

“The support for the OpenAPI Specification bridges the gap between development and operational teams, optimizing DevOps initiatives by reusing the OAS designs to monitor their APIs in pre- and post-production,” said Anand Sundaram, VP of Products, AlertSite at SmartBear. “With the ability to monitor APIs throughout the entire API lifecycle, AlertSite makes it fast and easy to adopt an API monitoring strategy that works for your entire business, not just one department.”

The new support for the OAS in AlertSite builds on existing API monitoring integrations with SoapUI and SoapUI Pro, and is the first of several new API monitoring integrations and functionalities planned for 2018.

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SmartBear Adds AlertSite Support for OpenAPI

SmartBear announced support for OpenAPI Specification (OAS) in AlertSite.

The new OpenAPI support in AlertSite allows teams to leverage their existing OpenAPI Specification (formerly known as the Swagger Specification) files to create API monitors seamlessly and instantly, driving standardization from design to deployment.

With the new OpenAPI support in AlertSite, development and operations teams can instantly create API monitors from their existing OAS files, thereby extending OAS standardization from design to deployment and gaining actionable insights into the performance and availability of their APIs.

“The support for the OpenAPI Specification bridges the gap between development and operational teams, optimizing DevOps initiatives by reusing the OAS designs to monitor their APIs in pre- and post-production,” said Anand Sundaram, VP of Products, AlertSite at SmartBear. “With the ability to monitor APIs throughout the entire API lifecycle, AlertSite makes it fast and easy to adopt an API monitoring strategy that works for your entire business, not just one department.”

The new support for the OAS in AlertSite builds on existing API monitoring integrations with SoapUI and SoapUI Pro, and is the first of several new API monitoring integrations and functionalities planned for 2018.

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In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

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 ...