I'm Talwinder Singh, an AWS Certified Solution Architect with over 6 years of expertise in AWS Cloud, CICD, Linux Administration, and Containerization. I possess practical experience in constructing secure cloud architectures for deploying and overseeing applications.
DevOps / Cloud Engineer
Beesolver Technology PvtAWS Engineer
Tac Security Pvt LmtSystem Administrator
Unisep Technologies
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AWS (Amazon Web Services)
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Hard worker Ontime Proactive, Thanks you help me out Talwinder I wish you all the best, For sure going to work with him again
Setup the AWS Code Pipeline with CodeIgniter project by utilizing the AWS Code Deploy agent that will deploy the code on EC2 Web server
My name is Teleminder. I am from Punjab. I have done my 10 plus 2 from Punjab port and after that I have done my graduation from the Global University and I have started my career as ADB's headman. Then I moved myself to AWS Cloud. So I have done the AWS Certificate Certification. Then after that I started learning about the AWS technology and Linux administration and AWS. So I am using multiple technologies and have experience on CIDT pipeline and other things.
to minimize the downtime, we can use the AWS autoscaling group. So it will help us to minimize the downtime, so we can roll over update by updated AMI and that AMI we can use in our autoscaling group, so in that way we will have a minimum of downtime whenever our IPC2 installs.
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Yes, to manage the state in the Terraform across multiple environment, we can use the we can move Terraform back into the cloud so we can use the DynamoDB with the S3 bucket. So in the DynamoDB, so there will be a table that will be created by the Terraform, then the Terraform state files will be moved out the S3 bucket. So whenever we have a like a different environment or different user, so they just have to type the Terraform INAT command, so the backend will be fetched from the AWS cloud, so in this way we can like manage our Terraform state file.
In fact, in a sense.
Yes, to convert a monolithic application architecture into a microservices, so first we have to review the existing architecture, so we just have to containerize every microservices like we have a application that having multiple services like a backend, frontend, database and some like a cache, some other thing, so we have to first containerize every single services, then after containerize the single services, we have to push those images to the on the Docker registry and after containerize those things, we can build the same thing on the Kubernetes, so we have to create the deployment yaml file, so which will help us to spin up the port, so that will serve our multiple microservices, so we can use the multiple things on the Kubernetes, so we have our deployment yaml file, then to expose of our application, we can use the node port service and application node plan service in the Kubernetes.
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We can deploy the multi-tier application in the Terraform by utilizing the different providers in our Terraform configuration group. So for the high-availability, we can take multiple things, like we can deploy our instance in the multi-AV. Then we can use the AWS load balancer, and then with the utilization of the auto-scaling group. So that will help us for the high-availability. And then we can also route over traffic by using the Route 53. So we can also provide some health check there. So if the instance is unhealthy, so it will route traffic to a different instance. So this type of things we can do.
Thank you for watching.
We will use SOC 2 for electrolysis.