Below is a list of our services:
“True DevOps” involves automation of every aspect of the Software Delivery Life Cycle (SDLC), not just deployment into Production. This includes Continuous Integration (CI)/Continuous Delivery, as well as automated deployments to Dev. Integration through Test, Performance, Staging, and Production Environments. A complete Automated Pipeline. If done right, with “Best of Breed” tools, automated deployment can be done to the Cloud, on premise Bare-Metal, or Virtual Hosts, using the exact same automation, unchanged. This is not a dream, GQP can make it reality for you. GQP continuously researches “Best of Breed” tools (GQP Research™), to deliver services like these to our clients, in the most efficient, cost-effective manner possible.
Traditional Functional Test Automation only addresses regression of existing functionality, during release, far down, or to the right of the Software Development Life Cycle (SDLC). Shift-Left Testing/Automation, involves testing “New” functionality, as it is being created, to the extreme left of the SDLC. Testing “New” functionality, as it is created, and automating that testing? Yes, not a trivial task for those who have not done it before. However, our experts are well versed in this area, including approaches such as Behavior Driven Development (BDD), and technologies like Selenium, Cucumber, SpecFlow, and many others that make this possible. GQP stands ready to help when it comes to meeting your Shift-Left Automation goals.
It is proven that maintaining many different Functional Test Tools across many applications and environment is difficult and error prone. But Is it possible to have just one tool, one automation framework, one approach for every environment, application, and platform?
Might it also be possible that, the same tools, etc., including potentially the same exact scripts, for each application, can also be leveraged for “Shift-Left Testing” (New Feature Delivery Success Testing), DevOps Environment “Acceptance” & “Smoke Testing”, “Performance Testing”, and “Synthetic Production Monitor Testing”.
The answer is yes. GQP’s “Omni-Present Functional Test Automation” is designed to do just that.
Whatever your Functional Test Automation goals are, even if they are not as lofty as this, we can help you move to the next level, successfully, now, and into the future.
Have you ever called a Customer Support or Service line and the representative tells you the computers are slow today, and engages you in small talk every other minute, while waiting for the computer. The moral of the story is that it is not enough for a software application to “Work Right”. It must “Work Right, and be Fast Enough”. That is why Performance Testing, at a minimum is crucial. Ideally however, what you need is Performance Engineering, throughout the SDLC, not just testing at the end. Performance Engineering is Hypothesis, or Experimental Testing. To be done right, it requires the scientific, and most likely statistical approach of an educated Performance Engineer, not a tool jockey. If not done right, you cannot count on your results to play out in Production (if garbage goes in, garbage comes out). Let GQP help you with your Performance Endeavors and bring experienced Performance Engineers to the table, and make sure you can count on the results.
Like a physician in pre-X-Ray days, many software projects are flying blind relying only on end users and black box testing to find out about performance of their applications. It is expensive and not reliable. Most importantly—it does not need to be this way.
Modern Application Performance Monitoring tools and practices provide complete, detailed, full-stack, end-to-end view of applications and systems under test and in production.
GQP’s Quick Start, 10 Days to Application Performance Monitoring is designed to help you to fit APM into your organization, and to address your specific needs.
“The RoadMap to Software Quality Analytics” ™
So many tools collect and store data throughout both the SDLC, and Post-Production in Operations. Almost all this data is available via an API. Unfortunately, these tools use different or overlapping terminology, and one needs to deep-dive every time when using them. This is like hundreds of puzzle pieces spread out in front of you. Where do you start?
GQP’s “One-View Software Quality Analytics” solves the problem by aggregating, correlating, doing predictive analysis, and presenting one view of the complete product lifecycle.
Finally, you can see the forest for the trees. What’s more, this service is always tailored to the specific needs of your organization, by role.
What’s in Your Stack?
from method, class, component, assembly, jvm, clr, app, container, service, pod, node, cluster, cloud, vm, phyisical system, mini, to mainframe…
Do You Know Where The Problem Is?
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