Digital.ai Deploy Primary Use Case

Derya Sezen - PeerSpot reviewer
DevOps Consultant at Kloia

The solution is for heterogeneous enterprise environments that have different workflows like Kubernetes, Linux, Windows, and mainframe.

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Derya Sezen - PeerSpot reviewer
DevOps Consultant at Kloia

Release Orchestration

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

We help our customers in improving their business agility by leveraging DevOps frameworks in the best possible manner driven by a continuous improvement approach. On that mission, We use XLDeploy in order to drive deployment automation for our customers. One of the best things about it helps in simplifying and speeding up deployment. In most deployment automation solutions you build deployment scripts. Either you will write a lot of scripts, or you knit your deployment plans together.

In the case of working with XL Deploy, you are not going to write as many scripts. The process has more to do with understanding what you want and then it actually generates the deployment plan and the automation that is needed for the application deployment.

It's a highly scalable solution. It's a bit different from a lot of the other tools in the market. Other tools are more workflow-based and this is a model-based deployment automation engine. It works across all major application platforms, container platforms and cloud platforms. We find it to be a very good fit for what we need to accomplish and it's very easy to manage and to maintain it from an enterprise skill perspective, as well.

I think the model-based automation itself is a marked differentiator that sets this product apart from anything else on the market. Secondly, It is also agent-less which is what we prefer as compared to an agent-based approach which increases the maintainance overhead

These are two key contributing factors to describing our primary use case.

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Release Automation
March 2024
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