Projects in Cloud Computing

Launch an EC2 instance in a region using a machine image, configure a security group to lock down SSH access, download a key, and connect via SSH to install software.

Install nginx on the Ubuntu server, configure it as a reverse proxy to load balance and forward port 80 traffic to backend services, test syntax, and verify via DNS.

Test nginx as a reverse proxy for a marker service. Deploy and route traffic on port 80 to upstream instances with load balancing.

Learn to manage cloud access with identity and access management console by creating users, groups, and policies, attaching policies such as administrator access, and provisioning AWS infrastructure with access keys.

Learn to provision Amazon Web Services cloud resources with Ansible, configure credentials, install boto and related tools on Ubuntu, and structure yaml-based configurations to automate EC2 instance creation.

Provisioning with Ansible demonstrates defining a local host, templating with variables and YAML, and executing tasks to provision an AWS EC2 instance via command-line input.

Set up and configure a dynamic inventory with Ansible to reflect running AWS services; run a provisioning script, query instances, and use the inventory for dynamic orchestration.

Extend the previous work by using a dynamic inventory to discover running services and obtain dynamic variables with the easy to fax module, then access, debug, and terminate them.

Discover an AWS streaming architecture ingesting android IoT data into a Kafka-like broker, processing with Spark streaming, storing in Cassandra, and enabling analytics with Redshift and machine learning.

Set up a Firebase development environment by installing Firebase tools, initializing the project, selecting database or hosting, configuring rules and aliases, and preparing the codebase for a cross-platform cloud backend.

Learn to set up a Firebase web app, configure authentication with Google, email/password, and other providers, and run a local development server to demo secure sign-in flows.

Learn to implement file upload and download using the Firebase Storage API, initialize Firebase, set storage references, enforce authentication rules, and monitor upload tasks with success and error callbacks.

Explore how the Firebase real-time database uses dynamic collections and JSON-like structures to push real-time updates to all connected clients via callbacks and queries.

Explore cloud programming languages, highlighting Java, Go, JavaScript, and Groovy, and learn how to apply them to data science, systems programming, and cloud development.

Set up a Google Cloud Platform development environment by installing the Go App Engine SDK, configuring paths, and testing the local admin server.

Install and initialize the Google Cloud SDK, set up the path, log in, and create an App Engine project, then configure a local repository and push code to the cloud.

Learn to deploy to App Engine from Cloud Shell by cloning and syncing code between cloud and local repositories, testing with a local server, and deploying with the Cloud SDK.

Build a Google Cloud App Engine rest api by creating a risk ticketing api with a title, content, and timestamp stored in datastore via post requests, with endpoints for testing.

Extend a Google App Engine rest API in Go by using datastore to create and query ticket entities, handling get requests, forms, and templates to populate entity data.

Explore memcache as a high-performance in-memory key-value data store on Google Cloud Platform, enabling fast reads and simple storage of serialized values.

Explore building a Google Cloud Platform key-value store with memcache by implementing create and get endpoints, a web form, and template-driven retrieval for keys and values.

Set up a Google Cloud Platform key-value store using memcache and implement endpoints to store and retrieve keys. Test locally, then deploy to App Engine and validate the data flow.

Set up Go native tools and Cloud SDK to build Go native apps that run on Google Cloud Platform, configuring environment variables and paths and initializing the Cloud SDK.

Set up a Google Cloud Platform storage API using native command line tools, configure project ID and bucket name, install dependencies, clone the source, and build a Go binary.

Implement a gcloud file storage application by configuring oauth authentication, wiring the cloud storage api, and handling file uploads to a bucket using the cloud sdk and storage client.

Explore Microsoft’s cloud resource model, learn to manage resources programmatically using subscription IDs and Active Directory, and compare classic and new portals.

Configure an Active Directory to obtain credentials and set permissions for Azure resources, including the client id, client secret, tenant id, and subscription id, using the classic and new portals.

Learn to configure active directory permissions by creating admin groups and application roles, assigning owner rights to Azure resources, and managing credentials for programmatic resource control.

Install the dependency manager and the azure sdk, configure access credentials and subscription id, and set up a clean ubuntu development environment to build and run the command-line sdk tools.

Learn to set up and test an Azure development environment by configuring environment variables, installing dependencies, and using service principal credentials to manage resources and key vaults via a CLI.

Explore testing the Azure development environment by running the resource manager code in the portal, using environment variables to create a resource group and key vault, then verify outcomes.

Provision resources with the Azure SDK using a deployment template to create and configure a virtual machine, including a public SSH key for authentication.

Access and configure a provisioned virtual machine using the SDK, SSH into it, install Java, configure the firewall, open ports, and deploy a Spring Boot test server.

Provision a vm, attach a security group to the network interface, and add inbound ssh and http rules to enable access to the marker service in a virtual network.

Learn to provision Azure storage using the Azure Python SDK, create and configure storage accounts with the storage management client, and access blob, file, table, and queue endpoints.

Provision an Azure blob service, manage storage account keys, and upload files to a block blob container using the Azure software development kit.

Explore how to set up an Azure NoSQL service using the Azure SDK, create a document database service, manage resources and keys, and enable globally distributed, highly available data access.

Set up an azure document db development environment, install the sdk, configure portal credentials, and rename config_demo to config while wiring host and primary key for the document db client.

Learn to create and run an azure documentdb nosql client using the sdk, configure credentials, and manage databases and collections with proper dispose pattern.

Learn to create collections and documents in a DocumentDb NoSQL client, and tune collection parameters for performance and cost. Apply the dispose pattern and clean up resources.

Explore Netflix open source software and Netflix OSS components, and learn how Spring Cloud and microservice architecture glue them into scalable cloud platforms with service management and runtime libraries.

Design a cloud project by integrating Netflix components like Eureka, Governator, Hystrix, and Ribbon with Spring Cloud and Spring Boot, enabling service discovery, lifecycle management, and minimizing memory leak risk.