Nanodegree Cloud DevOps AWS

Learn the fundamentals of cloud computing while receiving an introduction to cloud computing, security, storage, networking, messaging, and management services.

In this course, you will learn how to implement the underlying infrastructure components that provide security and services to our servers by writing scripts using CloudFormation, the AWS tool for Infrastructure as Code. You will use CloudFormation to implement infrastructure patterns that are widely used in the industry and can be easily used to deploy any application in the cloud. Just like in the real world, you’ll start with initial business requirements that you convert to cloud architecture diagrams. Then you will implement this architecture using CloudFormation.

PROJECT
Deploy a highly available web application with CloudFormation

In this project, you will deploy web servers for a highly available web application using CloudFormation. You will write the code that creates and implements the infrastructure and application for an Instagram-like application from scratch. You will begin with the implementation of the network components, followed by the servers, security roles, and software. The procedure you follow here will become part of your cloud project portfolio – you will do it exactly as you do on the job – following best practices and scripts as much as possible.

Learn how to reach out for Continuous Delivery as your “true north” while building CI / CD systems that automate “things” between developers and the cloud. You’ll gain essential knowledge and put it into practice as you learn about continuous integration and continuous deployment. You will combine your existing knowledge of Cloud Formation and AWS with new tools like Ansible and Circle CI. You’ll also learn how to keep an eye on your deployments with proactive monitoring and alerts.

PROYECTO

Cree una canalización de CI / CD automatizada para UdaPeople

En este proyecto, demostrará sus habilidades de ingeniero de DevOps en la nube como nuevo empleado en UdaPeople, una nueva e innovadora empresa de Recursos Humanos que depende de ciclos de lanzamiento rápidos y un producto sólido y de alta calidad. Ayudará al equipo de desarrollo a ofrecer valor de forma continua mediante la creación de una canalización de CI / CD automatizada. Estas nuevas habilidades también se pondrán a prueba a medida que configure el monitoreo y las alertas automatizadas para garantizar que el valor entregado siga siendo valioso. Gracias a sus nuevas habilidades y su arduo trabajo, UdaPeople tendrá una enorme ventaja competitiva en el mercado de PeopleOps y seguramente cambiará el mundo.

In this course, you will learn how to create and deploy a Kubernetes cluster, configure Kubernetes autoscale, and test the load of a Kubernetes application. You will learn how to get new and existing microservices up and running and how to apply container best practices. You will learn how to implement Machine Learning microservices that are elastic and fault tolerant. You will learn how to choose the appropriate abstraction for microservices: serverless (AWS Lambda) or Container Orchestration (Kubernetes).

PROJECT
Put a machine learning microservice API to work

In this project, you will continue your work to get microservices up and running by implementing a fault-tolerant and elastic machine learning inference API using Kubernetes. You will configure this microservice to be highly available using Kubernetes best practices. You will validate your design by testing the service load and verifying that the application architecture works as designed.