Serverless computing with Containers Orchestration using- Kubernetes for Deployment

@duym

Hi, I'm supper interested in your project. I'm SRE and devops for 6+ years. Working in aws, k8s, serverless right now in US. Hope to work with you. Have a good day.

@jk901

Dear As I am a senior software developer, have rich experience with various application development using C#, VC, VB.Net, NodeJS, Matlab, java, and python If you are interested with my proposal, please let me know it. I hope to work with you on this project. Thanks.

@gillelavishnu

I'm a Sr. Cloud Engineer with 6 years of experience on Azure, AWS & Windows server administration. In my experience I've worked on implementing and supporting many scenarios in cloud. I have extensive knowledge on implementing solutions in Azure from scratch. In my current role, I've worked on different aspects of cloud which includes but not limited to Networking, Virtual Machines, Web Apps, App service environments, Azure Networking, Azure Security, Powershell, Azure Automation & Runbooks, Azure Storage, Azure SQL & Elastic Pools, Azure Data factory Pipelines, Azure Load Balancers, Azure Application Gateways, Azure Devops, Terraform, Azure Log Analytics & OMS Dashboards, Kubernetes, AWS EKS, Jenkins, Octopus deploy

@sarrvareddy

Hello, I am a professional system admin and server engineer with 15 years experience. I can work for this project. Best Regards cloudguru

@bindmission

Hello Hope you are doing well. I have 7 years of experience in Linux. I am an expert on Kubernetes too. I can handle this project. Regards VishnuLal*

@infosatheesh2020

I'm Kubernetes certified developer with experience in server less and orchestration using kubernetes, helm, DevOps and cloud. I will be able to help you with kubernetes deployment

@anujlinux1

Hello, I can work on this, which version of docker and K8s you want to use? On which Linux distribution and what is the time line? Thanks, A skype: anujlinux1

@kpk4it

Kubernetes /OpenShift expert. Once you have a running Kubernetes cluster, you can deploy your containerized applications on top of it. To do so, you create a Kubernetes Deploymentconfiguration. The Deployment instructs Kubernetes how to create and update instances of your application. Once you've created a Deployment, the Kubernetes master schedules mentioned application instances onto individual Nodes in the cluster. Once the application instances are created, a Kubernetes Deployment Controller continuously monitors those instances. If the Node hosting an instance goes down or is deleted, the Deployment controller replaces the instance with an instance on another Node in the cluster. This provides a self-healing mechanism to address machine failure or maintenance. In a pre-orchestration world, installation scripts would often be used to start applications, but they did not allow recovery from machine failure. By both creating your application instances and keeping them running across Nodes, Kubernetes Deployments provide a fundamentally different approach to application management.