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SmartBear Assumes Sponsorship of Swagger API Open Source Project

SmartBear Software has acquired the Swagger API open source project from Reverb Technologies.

Swagger is the leading API description format used by developers in almost every modern programming language and deployment environment to design and deliver APIs that fuel IoT, microservices and mobile applications in the connected world. With this acquisition, SmartBear is now the company behind the two most widely adopted API open source initiatives, SoapUI and Swagger.

“Swagger has been the clear leader of the API description format discussion for several years – its ecosystem and passionate community is unsurpassed in the field,” said Ole Lensmar, CTO at SmartBear. “We look forward to working with Tony Tam, Swagger’s creator, to give Swagger the dedicated backing and support it needs for growth, primarily to ensure the open source project’s evolution but also to ease its adoption into enterprise scenarios.”

Swagger is a simple yet powerful representation of RESTful APIs. With Swagger, API developers can easily deliver interactive documentation, client SDKs and discoverable APIs. With its powerful code generation capabilities and open source tools, Swagger makes it easy for developers to go from design to implementation in a short amount of time. Swagger helps leading technology companies and enterprises like Microsoft, IBM, Apigee, Getty Images, Intuit, LivingSocial, McKesson, Morningstar and PayPal build the best possible services with RESTful APIs.

“Since first being released in 2011, Swagger has found broad adoption in start-ups, mid-size and enterprise companies alike—it has grown far beyond what we had envisioned,” said Tony Tam, CEO at Reverb. “Now it’s time to take Swagger to the next level and we have chosen to partner with SmartBear because they have the API expertise and proven commitment to open source with products like SoapUI. With SmartBear, Swagger will reach more developers, products and services, and make an even bigger impact on the API world.”

SmartBear is committed to keeping the Swagger specification and code open and driven by the community, and encourages contributions through evangelism, documentation and tooling. The company is engaging industry leaders to create an open governance model that supports the evolution of the Swagger specification in a vendor-neutral and collaborative manner.

As part of its commitment to Swagger, SmartBear will be investing in development to evolve the specification and toolset, as well as providing commercial support offerings for enterprises using Swagger. The company will also be developing and providing resources to help developers adopt and use Swagger and the Swagger tools.

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SmartBear Assumes Sponsorship of Swagger API Open Source Project

SmartBear Software has acquired the Swagger API open source project from Reverb Technologies.

Swagger is the leading API description format used by developers in almost every modern programming language and deployment environment to design and deliver APIs that fuel IoT, microservices and mobile applications in the connected world. With this acquisition, SmartBear is now the company behind the two most widely adopted API open source initiatives, SoapUI and Swagger.

“Swagger has been the clear leader of the API description format discussion for several years – its ecosystem and passionate community is unsurpassed in the field,” said Ole Lensmar, CTO at SmartBear. “We look forward to working with Tony Tam, Swagger’s creator, to give Swagger the dedicated backing and support it needs for growth, primarily to ensure the open source project’s evolution but also to ease its adoption into enterprise scenarios.”

Swagger is a simple yet powerful representation of RESTful APIs. With Swagger, API developers can easily deliver interactive documentation, client SDKs and discoverable APIs. With its powerful code generation capabilities and open source tools, Swagger makes it easy for developers to go from design to implementation in a short amount of time. Swagger helps leading technology companies and enterprises like Microsoft, IBM, Apigee, Getty Images, Intuit, LivingSocial, McKesson, Morningstar and PayPal build the best possible services with RESTful APIs.

“Since first being released in 2011, Swagger has found broad adoption in start-ups, mid-size and enterprise companies alike—it has grown far beyond what we had envisioned,” said Tony Tam, CEO at Reverb. “Now it’s time to take Swagger to the next level and we have chosen to partner with SmartBear because they have the API expertise and proven commitment to open source with products like SoapUI. With SmartBear, Swagger will reach more developers, products and services, and make an even bigger impact on the API world.”

SmartBear is committed to keeping the Swagger specification and code open and driven by the community, and encourages contributions through evangelism, documentation and tooling. The company is engaging industry leaders to create an open governance model that supports the evolution of the Swagger specification in a vendor-neutral and collaborative manner.

As part of its commitment to Swagger, SmartBear will be investing in development to evolve the specification and toolset, as well as providing commercial support offerings for enterprises using Swagger. The company will also be developing and providing resources to help developers adopt and use Swagger and the Swagger tools.

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In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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.