Digital.ai Deploy Scalability

it_user158721 - PeerSpot reviewer
Sr. Adviseur Bedrijfsvoering ICT (Sr. Business Consultant ICT) at a government with 1,001-5,000 employees

We haven't seen situations yet that we reached the limits of the application. So scalability has not been a worrysome factor for us yet, but as far as I know there are no scaleabilty features build into the product.

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Derya Sezen - PeerSpot reviewer
DevOps Consultant at Kloia

The tool has no scalability issues because you need to just install a separate agent as you grow.

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Derya Sezen - PeerSpot reviewer
DevOps Consultant at Kloia

The solution is easy to scale.

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Buyer's Guide
Digital.ai Deploy
April 2024
Learn what your peers think about Digital.ai Deploy. Get advice and tips from experienced pros sharing their opinions. Updated: April 2024.
768,578 professionals have used our research since 2012.
it_user173697 - PeerSpot reviewer
Java/JEE Consultant at a tech services company with 501-1,000 employees

In cluster mode with WebLogic server, nodes are not properly restarted each time you run your DeployIT process. Working with an administrator is highly recommended.

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it_user177192 - PeerSpot reviewer
Java/JEE Consultant with 51-200 employees

Yes: single point of failure problem. If for any reason your DeployIt server fails you cannot deploy anymore. As the product is not designed with load balancing in mind on so on, it makes the server rebuild quite hard. Thus the fact that the packaging format is proprietary prevents users to perform deployments out of DeployIt.

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SP
Chief Catalyst at a tech services company with 1-10 employees

I think scalability is one of the biggest factors that is a benefit of the product. What we accomplish is more-or-less independent of the people who can use the product. We don't have to pay for people with particular scripting skills. In fact, a lot of our people who got trained picked up using the product pretty quickly and they become functional using the platform without a big gap in time. Often people were ready to use it very well much earlier than what we thought it would be possible.

Some of them really picked it up the design of the product well. I have seen this in cases of people who are 60 plus years old — who have pretty much been doing something for the last 25 or 30 years in a particular way. When we introduced them to this platform, they've managed to pick it up and changed their style of doing things in a very short time. That tells us a lot about the product and its people-friendly from an adaptability perspective. When somebody has had habits of doing certain things in a certain way for so many years and they are able to adapt to this platform quickly, that makes the product very effective in speeding up velocity and scale across the enterprise.

We already have about 150 users on the solution and expect that will grow.

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it_user161814 - PeerSpot reviewer
DevOps, Build, Release, CI, CD at a tech company with 10,001+ employees

Less documentation.

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it_user165576 - PeerSpot reviewer
IT Infrastructure consultant at a government with 51-200 employees

We encountered no problems with scalability.

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it_user165300 - PeerSpot reviewer
ICT Consultant at a tech consulting company with 51-200 employees

Once, when to many deployments were running.

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Buyer's Guide
Digital.ai Deploy
April 2024
Learn what your peers think about Digital.ai Deploy. Get advice and tips from experienced pros sharing their opinions. Updated: April 2024.
768,578 professionals have used our research since 2012.