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SmartBear Announces New API Readiness Platform

SmartBear Software announced Ready! API, an end-to-end platform for assisting development, testing and operations teams with the expanding API economy. Integrated, extensible and affordable, Ready! API is built around the core of the award winning, industry dominating SoapUI open source tool.

Fueled by the advent of service oriented architectures, mobile technologies and the Internet of Things, APIs are the backbone of most software applications today. Recent analyst predictions say that by 2016, the number of open APIs will hit 30,000. Today, there are more than 1.252 billion API requests made each hour. Social media APIs alone have grown by almost 300 percent since 2009.

To meet this staggering growth and load, APIs must be extremely reliable, scalable and secure even while release cycles are short and teams often have to test an API while still in development. A different approach to the development, testing and monitoring of APIs is required. First, the proliferation of non-integrated point tools for different phases of the API lifecycle has created a silo approach that complicates the development process, slows time to market, and reduces API quality. Second, so called enterprise API development frameworks have extracted exorbitant fees for such areas as service virtualization, placing key functionality out of reach for many developers. The API economy demands exactly the opposite dynamic where more high quality, integrated development, testing and monitoring tools are in the hands of millions of developers at an affordable price.

Ready! API is the industry’s first fully integrated, extensible and affordable platform to help teams build reliable, scalable and secure APIs. Using the industry’s leading open source application SoapUI as its core, Ready! API builds on years of development and customer feedback to create an API platform for the new API economy.

Ready! API is composed initially of four applications, each of which can be purchased separately. The four applications include:

- TestUI – for testing all Web services, including REST and SOAP APIs

- LoadUI – for load testing of APIs to ensure they meet high performance demands

- ServiceV – for creating, managing and sharing virtualized assets

- Secure – for conducting security scans against APIs

In addition, the Ready! API platform contains common services such as a plug-in manager, reporting engine and metrics, and script support for advanced users. These common services provide an extensible framework for added functionality and easy interoperability while building and testing APIs.

“We are expanding on the same model of affordable, yet extensible software that made SoapUI the leading API testing tool in the world,” said Ole Lensmar, CTO of SmartBear. “Ready! API provides a powerful set of individually purchased tools for API development, testing and monitoring in an integrated package. For areas such as service virtualization where applications have been priced out of reach for most developers, Ready! API provides a welcome relief and way to get the right tools into the hands of all developers.”

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

SmartBear Announces New API Readiness Platform

SmartBear Software announced Ready! API, an end-to-end platform for assisting development, testing and operations teams with the expanding API economy. Integrated, extensible and affordable, Ready! API is built around the core of the award winning, industry dominating SoapUI open source tool.

Fueled by the advent of service oriented architectures, mobile technologies and the Internet of Things, APIs are the backbone of most software applications today. Recent analyst predictions say that by 2016, the number of open APIs will hit 30,000. Today, there are more than 1.252 billion API requests made each hour. Social media APIs alone have grown by almost 300 percent since 2009.

To meet this staggering growth and load, APIs must be extremely reliable, scalable and secure even while release cycles are short and teams often have to test an API while still in development. A different approach to the development, testing and monitoring of APIs is required. First, the proliferation of non-integrated point tools for different phases of the API lifecycle has created a silo approach that complicates the development process, slows time to market, and reduces API quality. Second, so called enterprise API development frameworks have extracted exorbitant fees for such areas as service virtualization, placing key functionality out of reach for many developers. The API economy demands exactly the opposite dynamic where more high quality, integrated development, testing and monitoring tools are in the hands of millions of developers at an affordable price.

Ready! API is the industry’s first fully integrated, extensible and affordable platform to help teams build reliable, scalable and secure APIs. Using the industry’s leading open source application SoapUI as its core, Ready! API builds on years of development and customer feedback to create an API platform for the new API economy.

Ready! API is composed initially of four applications, each of which can be purchased separately. The four applications include:

- TestUI – for testing all Web services, including REST and SOAP APIs

- LoadUI – for load testing of APIs to ensure they meet high performance demands

- ServiceV – for creating, managing and sharing virtualized assets

- Secure – for conducting security scans against APIs

In addition, the Ready! API platform contains common services such as a plug-in manager, reporting engine and metrics, and script support for advanced users. These common services provide an extensible framework for added functionality and easy interoperability while building and testing APIs.

“We are expanding on the same model of affordable, yet extensible software that made SoapUI the leading API testing tool in the world,” said Ole Lensmar, CTO of SmartBear. “Ready! API provides a powerful set of individually purchased tools for API development, testing and monitoring in an integrated package. For areas such as service virtualization where applications have been priced out of reach for most developers, Ready! API provides a welcome relief and way to get the right tools into the hands of all developers.”

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...