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SmartBear Releases TestComplete Plugin for Jenkins

SmartBear Software released a TestComplete plugin for Jenkins, a popular open source continuous integration tool.

The new TestComplete Jenkins plugin helps simplify and streamline continuous delivery process by making it extremely easy for anyone to automatically execute and report on TestComplete tests through Jenkins. Customers deploying the new TestComplete Jenkins plugin are able to balance speed of application delivery with quality.

While implementing continuous delivery, organizations often simplify the release process by prioritizing product backlog and releasing requirements in small increments frequently. This helps minimize cycle time between teams and accelerate application delivery schedules. Testing, many times, however can act as a bottleneck to such faster application delivery processes.

Manual testing results in great inefficiencies as it is time consuming and error-prone. Similar inefficiencies are encountered while implementing automated testing practices. Scaling functional, non-functional and API tests for different testing environments can prove challenging and complex. Additionally, manual handoffs between development and automated testing teams result in an increased wait time, delaying faster feedback on the build and causing rework to accumulate. Finally, if out-of-the-box integration with continuous integration tools such as Jenkins is not available, testers often end up spending a significant portion of their time triggering automated tests through a clunky command line interface.

With this plugin, SmartBear allows developers and testers to execute desired desktop, Web or mobile automated tests directly from Jenkins. Once tests are executed, results are automatically updated to Jenkins, minimizing the handoffs between the development and testing team and providing rapid feedback for the development cycle. The faster feedback loop on the build also helps developers find defects at the source code level quickly, reducing cycle time for fixing defects and helping achieve increased focus on quality. TestComplete’s built-in functionality along with the new plugin lets organizations easily scale a variety of automated functional and API tests across multiple UAT environments.

TestComplete is one of the world’s most recognized automated testing tools. The winner of four Dr. Dobb’s Jolt Awards since 2010, and most recently, a winner of a DeveloperWeek 2015 Award, TestComplete empowers any tester, both novice and advanced, to create, manage and run automated tests for any desktop, Web and mobile application.

“Delivering high quality products rapidly to the marketplace necessitates having immediate feedback on the deployed build,” said Nikhil Kaul, Product Manager, Testing Products at SmartBear. “The new TestComplete Jenkins plugin helps organizations completely automate build-test processes for functional as well as API tests. Faster application delivery thereby becomes a breeze as teams can now test the quality and reliability of every build without any kind of manual intervention.”

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SmartBear Releases TestComplete Plugin for Jenkins

SmartBear Software released a TestComplete plugin for Jenkins, a popular open source continuous integration tool.

The new TestComplete Jenkins plugin helps simplify and streamline continuous delivery process by making it extremely easy for anyone to automatically execute and report on TestComplete tests through Jenkins. Customers deploying the new TestComplete Jenkins plugin are able to balance speed of application delivery with quality.

While implementing continuous delivery, organizations often simplify the release process by prioritizing product backlog and releasing requirements in small increments frequently. This helps minimize cycle time between teams and accelerate application delivery schedules. Testing, many times, however can act as a bottleneck to such faster application delivery processes.

Manual testing results in great inefficiencies as it is time consuming and error-prone. Similar inefficiencies are encountered while implementing automated testing practices. Scaling functional, non-functional and API tests for different testing environments can prove challenging and complex. Additionally, manual handoffs between development and automated testing teams result in an increased wait time, delaying faster feedback on the build and causing rework to accumulate. Finally, if out-of-the-box integration with continuous integration tools such as Jenkins is not available, testers often end up spending a significant portion of their time triggering automated tests through a clunky command line interface.

With this plugin, SmartBear allows developers and testers to execute desired desktop, Web or mobile automated tests directly from Jenkins. Once tests are executed, results are automatically updated to Jenkins, minimizing the handoffs between the development and testing team and providing rapid feedback for the development cycle. The faster feedback loop on the build also helps developers find defects at the source code level quickly, reducing cycle time for fixing defects and helping achieve increased focus on quality. TestComplete’s built-in functionality along with the new plugin lets organizations easily scale a variety of automated functional and API tests across multiple UAT environments.

TestComplete is one of the world’s most recognized automated testing tools. The winner of four Dr. Dobb’s Jolt Awards since 2010, and most recently, a winner of a DeveloperWeek 2015 Award, TestComplete empowers any tester, both novice and advanced, to create, manage and run automated tests for any desktop, Web and mobile application.

“Delivering high quality products rapidly to the marketplace necessitates having immediate feedback on the deployed build,” said Nikhil Kaul, Product Manager, Testing Products at SmartBear. “The new TestComplete Jenkins plugin helps organizations completely automate build-test processes for functional as well as API tests. Faster application delivery thereby becomes a breeze as teams can now test the quality and reliability of every build without any kind of manual intervention.”

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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 ...

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.