Deployment.io’s Post

Transcript

Hi I'm Ankit and I'm the founder of deployment at IO. In this demo I will show you how we can deploy an application using deployment dot IO and how we can monitor it using AI. So we'll use our AI assistant and ask it to. Help us in deploying a node JS application. So to tell us that OK, we can use this link to deploy a nodejs application. You can click on that link and then either we can deploy it using a git repository or a docker image from a registry. For this demo, we'll use a git repository. So I can search. For an express hello world application for this demo. Can say, OK we want to deploy it on an integration environment, you want to call it. Node Express. Branch of the master runtime is node. Portals. 1. Let's see if your memory is. The minimum that we are using for this demo. So we can see that the deployment process has already started. And it should take around less than 5 minutes because it's the first deployment so usually it's faster, but this will take around 5 minutes. So we can wait till the deployment goes through. But you can easily check the logs and get the status of your deployments. Yeah, you can see that the deployment is now successful. So usually the first deployments can take some some time because we create the load balancer and the ECS service in AWS which can take some time to stabilize. Right. So once the deployment is successful. Now we can. You can go to the domain section and see that it's. Available right on this particular load balancer URL. You have other features like auto deploy and reviews where you can automatically deploy deploy the service on every git Comer push or you can create previews when someone creates a PR on the master branch. We also support notifications using Slack and this will also help us run and command our AI agents through Slack. So you have an assistant. So we have an AI agent that you can communicate with using the assistant, and you can use it to monitor and analyze logs for this particular service. So I'll just give an example of how you can. How you can check for CPU usage? Usage. So the system creates a job to check for CPU usage and. It can. The AI didn't gets the CPU and memory, so you don't need to learn anything related to the underlying cloud infrastructure. Or for examples, we are using Cloud Watch over here, so your team doesn't need to learn anything related to Cloud Watch. The agent automatically understands what query you have related to the service and it can automatically execute that for you. We're actively building AI agents that'll make it super easy for developers to deploy and monitor applications on the cloud. Thank you for watching and do let us know if you have any questions or any feedback. Thank you.