Quality Engineering

CirrusLabs gets you bird eye view of quality from management to operation.

Quality Engineering for Next-Gen Digital Transformation

Today enterprises are adopting Agile and DevOps development methodologies for software development. This has resulted in applications developed at fast rate. That is good indeed, but it equally important for the testing team to catch-up with the speed of application development and delivery. In order to align to new IT paradigm such as Cloud, Big Data and IoT, we offer testing tools, techniques and process that adds value to the business and ensures quality.

Continuous Testing is our Mantra..

At CirrusLabs we embrace continuous testing that is much needed in agile environment.

Legacy testing methods have not kept up and fall short with today’s agile, rapid application delivery model. By adopting continuous testing practices, we build the ability to test early, often, automatically, and continuously.

Shift Left to Leap Forward in This Digital Era.

CirrusLabs also endorse Shift Left testing, because precaution is better than cure. In Shift Left testing teams focuses on preventing defects at early stage rather than finding them at later stage. As a result the project risk is reduced, as there is less delay and avoids late stage defects that are expensive to fix.

Automate to Accelerate the Digital Speed

The changing methodologies bring change in mindset, tool set and skill set. Similarly in software industry automation has to evolve with changing development methodologies.

In today's realm, automation is performed in parallel with development track especially in agile world. It is imperative to develop an automation model that is flexible, adaptable, and extensible to support Test-driven development, Behavior-driven, SCRUM, Agile-XP, etc.

Is quality assurance to quality engineering part of the core strategy?

Experience QA transformation with CirrusLabs tool agnostic, framework driven approach.

Traditional testing techniques may fall short to address the testing needs for the next-gen digital transformation areas such as Agile, Cloud, Big Data and IoT. Because of the remarkable speed of data processing, high volume, and high performance there is a pressing need to have a varied approach for next-gen IT paradigm.

Our Pragmatic Approach

Big Data Testing

  • Expertise to test structured and unstructured data.
  • Applications to sample huge data.
  • Specific set of skills to operate Big Data testing tool.

Cloud Testing

  • Latency for quicker response.
  • Security testing to address most prominent issue.
  • Compatibility/integration testing for different applications to work together.

IoT Testing

  • Security & Connectivity testing for seamless connectivity.
  • Interoperability testing after all it is various IoT Platforms, software-hardware that makes up IoT architecture.
  • Real-time data testing to ensure updated data is pushed.

Intelligent Automation

  • End to End automation using open source technologies to enable continuous testing (Process & Execution).
  • Service Virtualization, Performance, Security & Code Quality automation as part of DevOps Pipeline.

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