ACCELQ is an agile quality management platform that helps users achieve continuous delivery for web, mobile, manual testing, and APIs. It can be used to write and manage manual test cases for the functionality that may be too fluid for automation.
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ignio AIOps
Score 8.1 out of 10
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ignio AIOps, from Digitate in Santa Clara, is a solution designed to improve business agility by creating a unified view of the IT estate, connecting business functions to applications and infrastructure. This is combined with behavior profile of systems and applications that is continuously learnt using this blueprint. ignio aims to improve the transparency of complex Enterprise IT landscapes.
Low code test automation, Ready to pickup platform without having much prior knowledge on automation, AI agent interactions are nearly close to real life scenarios, best API automation scale it has got, QGPT logic builder has really changed the talk with DBs in AI way, Logic insights feature is really impressive to identify possible risk while just started developing web apps.
It's good for issue resolution, user access request automation, standard report generation, health checks, executing self-healing as configured in the attributes. Currently not good at real-time monitoring to trigger an action. Health checks have to be on a scheduled basis.
There is a lot more the desktop tool can do. For example, we need to apply an upgrade to get the tool to talk to our infrastructure while employees are working from home. The tool was initially installed with the assumption that the desktops would be in UserLand. Instead after COVID-19 the desktop/laptops have been used for over a year on people's home networks. As of right now, we have to sync when the devices are connected to VPN. Moving forward with the upgrade, we will be getting this data over TLS when they are connected to the untrusted networks.
The concept of ignio AlOps requires OCM efforts within most operational teams. This isn't necessarily the fault of the tool itself, but when implementing ignio, or any AIOps tool, the team will get a lot of pushback as an outside team is centralizing the operational improvements. The tool should have a centralized intake process that will allow the collection, ranking, and management of automation opportunities. ignio AlOps should then simulate the proposed efficiencies from implementing something within the backlog. Right now a lot of local teams are having a hard time getting on the same page as the enterprise teams, and a common methodology for prioritizing (even if overly simplistic) would go a long way to enterprise planning.
These tools are very new and things get added to them all the time. There should be a way for the product's stakeholders and process owners to understand the additional value ignio AlOps is gaining over time.
Features like low code, API automation, auto pilot and free account creations, case studies are better suited for my business into IOT space, some of the enterprise automation features are truly game changer in productivity for my team. Database migration was supported seamlessly while opted for ACCELQ solutions.
ignio AIOps version upgrades were a heavy lift. Having to learn a new language versus an industry standard language took time. More consideration on overall internal long-term support needs to be determined.
We have built a healthy relationship with the vendor support team throughout the implementation phase, all incidents raised were resolved within the SLA without a fail
I am happy with the way team has implemented and shared the product for our organization. However, would like to see it get extended to the other line of business too.
When we implemented ACCELQ, we conducted POCs with many similar solutions. Among the tools we pursued at that time, accelQ stood out against Tricentis Tosca and QMetry automation studio. However, subject 7 did better. However, they were still in the nascent stages of building the tool, and hence we did not pick it.