IBM Cloud Pak for AIOps vs. ignio AIOps

Functional and very excellent Cloud system which offers multiple Cloud services and the best tool to manage different data center which are from various Vendors and secure data management IBM solution with easy and friendly interface. The integration tools are excellent and the ability to fix issues from multiple environment and the analytics are good.

Incentivized

-Autonomous alert and incident management related to infrastructure, NW, and applications. -Excellent fit to handle CPU, memory, and disk space alert management - proactive and predictive. -Several automation features (self-healing) - CPU/Memory modifications; disk extensions; patch management -Provisioning of user access and infrastructure servers, etc.

• Easy management of multiple data center from single platform.
• Multiple host issues management and also nice file management tool.
• Effective interactive chatbot building.

Incentivized

• ignio handles 100+ use cases covering the entire organization including applications and infrastructure.
• Centralize the dashboard to view and executed the health of systems in our environment.
• It handles CA services desk Incidents and requests. Using automated tools with power shell scripts.
• ignio event management helps the organization to manage the alerts well and make an informed decision.

• Deployment procedure documentation can be improved.
• Fine tuning capabilities for IT Asset management could be improved.
• Alerting features could be improved.

Incentivized

• 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.

It is a very good product and it helps our organization.

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.

Incentivized

It was up than Dynatrace

Incentivized

Looks good at the moment

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

Implementation team has provided necessary training & enablement.

Online training materials are shared by the implementation team and it was good.

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.

IBM Watson AIOps stacks up well with Turbonomic because it basically is Turbonomic. IBM added Turbonomic's feature set into IBM Watson AIOps and we were therefore quite comfortable shifting to the re-branded version introduced by IBM. We do like the fact that IBM Watson AIOps includes the functionality of Turbonomic.

Incentivized

We generally use Ignio AIOps. It is flexible and works well for AIOPS.

Quite Scalable!

• Time savings for my team with IT Asset Management tasks.
• Time savings for my Application Engineers for cleanup tasks.
• Resource usage savings in our Hybrid Cloud Environments.

Incentivized

• ignio has had a positive impact on our organization by saving 7,000+ hours within Operations and automatically resolving 84% of our service requests.
• ignio has increased our alert coverage by over 60%.