SmartBear Software and Revolution IT Pty Ltd, provider of software, mobile, web and cloud-based testing services and quality assurance for implementing enterprise software solutions, have formed a strategic partnership.
Revolution IT now provides Australian organizations looking to implement SmartBear’s user-centric application management solutions with an onshore, go-to advisory partner, to enable them to get the most strategic and operational value from their IT investment.
Jamie Duffield, CEO at Revolution IT said, “This partnership combines Revolution IT’s trusted, local software and app testing expertise with the ability to offer software tools from SmartBear, a respected global solutions provider. Our vendor agnostic approach allows us to offer multiple software solutions in the market, to provide appropriate tools to a client based on requirements and budget. The result is a better outcome for clients with a delivery model that emphasizes quality outcomes for project success.”
Revolution IT offers access to SmartBear’s API Readiness framework, Ready! API, a unified set of graphical and code-based testing tools that includes SoapUI NG for functional testing, LoadUI NG Pro for load testing, ServiceV Pro for API service virtualization, Secure Pro for dynamic API security testing and TestServer for Continuous Integration environments.
“We see tremendous growth opportunity in Australia and are thrilled to partner with Revolution IT, an established and respected leader in the region,” said Eric Sargent, VP of Sales at SmartBear. “Revolution IT’s deep domain expertise along with SmartBear’s comprehensive product portfolio provides customers with affordable best in class tooling and the trusted advisors to assist them through implementation and on-going productivity as they incorporate new technology into their evolving testing practices. We are excited to work with them to support our joint and future client base.”
The Latest
For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...
FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...
Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...
While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...
A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...
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 ...