MS VISUAL STUDIO PUBLISH TO LIGHTSAIL CODE

Step 7: Create Lightsail Instance using the following command:Īws lightsail create-instances -instance-names grfana -availability-zone eu-central-1a -blueprint-id ubuntu_22_04 -bundle-id nano_2_0 -user-data file://instance.sh As a final step we are running this docker image on the port 80. Hence, we are using AWS access and secrets key with just ECR pull access to pull image from ECR in the instance. AWS lighsail doesn't allow role based access.

MS VISUAL STUDIO PUBLISH TO LIGHTSAIL CODE

We are creating a bash script to pass user data with instance creation.Įxplanation of the above code for better understanding:Īs a prerequisite we are installing docker and awscli in the instance. Step 6: This is most important step for our implementation. Now you pushed your Grafana image to ECR repo which we will pull from the instance and use for the deployment. Run the following command to push this image to your newly created AWS repository:ĭocker push.After the build completes, tag your image so you can push the image to this repository:ĭocker tag lightsail:latest.Login to your ECR using the following commandĭocker login -u AWS -p $(aws ecr get-login-password -region ).Click on create and it will create a repo for you.In my case I have given lightsail as repo name. As a best practice you should select Visibility settings as private.You can also create your own Dockerfile as per your need. Step 3: Pull Grafana Image in your local system using the following command. Open terminal and run aws configurecommand, it will ask access key and secrets key.Įnter fullscreen mode Exit fullscreen mode.If you are on different OS, you can take help from here: AWSCLI You can follow the following steps if you are with me and using Ubuntu OS. IAM access and secret key with access to Lightsail and EMR.Refer the image below for better understanding. Once you deploy to the we have two option depends on your use case - you can use either static IP or Lightsail load balancer. We will do everything with bash using AWSCLI which can further be use in creating CICD pipeline.Ĭheck here to know more about Lightsail - įirst step will be to deploy our application to the instance. The aim of this post is to explore Lightsail instance.

In this post I am going to explain how easily we can deploy any application to Lightsail instance.

Ms visual studio publish to lightsail