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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Terraform
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 completed my 10+2 from Punjab University. After that, I have done my graduation from the Global University and I have started my career as an ADB headman. Then I moved myself to AWS Cloud. So, I have done the AWS Certified Certification. Then, after that, I started learning about AWS technology and Linux administration. I am using multiple technologies and have experience on CIDT pipeline and other things.
to minimize downtime, we can use the AWS autoscaling group. So, it will help us to minimize downtime, so we can roll out an update by using an updated AMI and that AMI we can use in our autoscaling group. In that way, we will have a minimum amount of downtime whenever our IPC2 installs.
Yes, to manage the state in Terraform across multiple environments, we can move Terraform back into the cloud so we can use DynamoDB with an S3 bucket. So in DynamoDB, there will be a table created by Terraform, then the Terraform state files will be moved to the S3 bucket. So whenever we have a different environment or different user, they just have to type the Terraform init command, so the backend will be fetched from the AWS cloud, in this way we can manage our Terraform state file.
In fact, to some extent.
Yes, to convert a monolithic application architecture into a microservices architecture, so first we have to review the existing architecture. So we just have to containerize every microservice, like we have an application that has multiple services like a backend, frontend, database, and some like a cache, and some other thing. So we have to first containerize each service, then after containerizing the single services, we have to push those images to the Docker registry. And after that, we can build the same thing on Kubernetes. So we have to create a deployment YAML file, which will help us to spin up the port, so that will serve our multiple microservices. So we can use multiple things on Kubernetes. So we have our deployment YAML file. Then to expose our application, we can use the NodePort service and the application NodePort service in Kubernetes.
I'm happy to be here today, and I'm excited to talk about our new project. We've been working on it for a while now, and I think it's really going to make a big difference. One of the main goals of the project is to increase efficiency, and we're confident that it will do just that. We've been testing it out, and the results have been really positive so far. I think one of the things that sets us apart from other companies is our commitment to innovation. We're always looking for new ways to improve our processes and stay ahead of the curve. Of course, there are a lot of challenges that come with implementing a new project, but we're up for the task. We've assembled a great team and are working hard to make sure everything goes smoothly. I'm really proud of what we've accomplished so far, and I'm excited to see where this project takes us. I'm also excited to hear from our customers and get their feedback. Their input is invaluable to us, and we're looking forward to hearing their thoughts on our new project.
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We can deploy the multi-tier application in Terraform by utilizing different providers in our Terraform configuration group. So for high availability, we can take multiple things, such as deploying our instance in multi-AZ. Then we can use the AWS load balancer, and with the utilization of the auto-scaling group. This will help us with high availability. And then we can also route traffic by using Route 53. We can also provide some health checks there. If the instance is unhealthy, it will route traffic to a different instance. We can do this type of thing.
Thank you for watching.
We will use SOC 2 for the electrolysis.