Cloud Computing Courses Online

Cloud computing, most of the people cannot relate these two together. How does “cloud” relate to “computing”? In fact now in modern ICT life we live with a lot of applications of cloud computing. In simple, we could describe cloud as internet, and cloud computing as large systems that are connected in public or private networks. For example, a company could have computers that connect to an application and allow workers to log in into a Web-based service which hosts all the programs the user would need for his or her job. In this system, a company will not have to provide the right hardware and software for every employee hired to do their jobs. Hence it could reduce cost, and make data or application more easily obtained and ubiquitously accessed.

A cloud database is a database that runs on cloud computing. Basically it is taking computing hardware and software and delivering them over a network (more than likely the Internet). The cloud database runs on two common models; one being that the user or users may run the data on the cloud independently or they pay a service provider to run the data on the cloud for them. Cloud data bases are either SQL based(Structured Query Language)or NoSQL. This type of technology allows users to access data from anywhere in the world at any given time, and since it is not all the data is stored at one central location but rather at many different servers around the world it makes accessing data much quicker.

Privacy Risks in Cloud Computing

Because cloud-computing technology is easy to use, it provides a model, which use based on shared pools. Many companies and government organizations begin to store data in the cloud. After storing private information in the cloud, this information is available to various threats and attacks. Because artificial intelligence systems have high requirements for computing power, cloud computing has been configured as the primary architecture in many artificial intelligence applications. Therefore, when developing such smart applications, cloud privacy protection is also a problem that people need to consider.

The British Telecommunications Cloud Sync application is given free as a part of their broadband internet packages. The cloud allows the use of several devices; for example, laptop, desktop, ipad, etc., and their cloud contents are available to all other devices for the same user. It is designed to provide both fixed storage and multi-version storage of files. Here, fixed storage means that any changes to an original file will cause an update to the copy of the file on the cloud, and multi-copy means that all changes will be saved on the cloud as a separate file. The addition and download of files is possible from virtually any internet connection.

Gubernator

Gubernator is a distributed, high performance, cloud native and stateless rate limiting service.

Features of Gubernator

• Gubernator evenly distributes rate limit requests across the entire cluster, which means you can scale the system by simply adding more nodes.
• Gubernator doesnt rely on external caches like memcache or redis, as such there is no deployment synchronization with a dependant service. This makes dynamically growing or shrinking the cluster in an orchestration system like kubernetes or nomad trivial.
• Gubernator holds no state on disk, Its configuration is passed to it by the client on a per-request basis.
• Gubernator provides both GRPC and HTTP access to its API.
• Can be run as a sidecar to services that need rate limiting or as a separate service.
• Can be used as a library to implement a domain specific rate limiting service.
• Supports optional eventually consistent rate limit distribution for extremely high throughput environments. (See GLOBAL behavior architecture.md)
• Gubernator is the english pronunciation of governor in Russian, also it sounds cool.

  Stateless configuration

  Gubernator is stateless in that it doesnt require disk space to operate. No configuration or cache data is ever synced to disk. This is because every request to gubernator includes the config for the rate limit. At first you might think this an unnecessary overhead to each request. However, In reality a rate limit config is made up of only 4, 64bit integers. An example rate limit request sent via GRPC might look like the following rate_limits:

  Scopes the request to a specific rate limit

  A unique_key that identifies this instance of a rate limit request

  unique_key: account_id=123|source_ip=172.0.0.1

  The number of hits we are requesting

  hits: 1

  The total number of requests allowed for this rate limit

  limit: 100

  The duration of the rate limit in milliseconds

  duration: 1000

  The algorithm used to calculate the rate limit

  0 = Token Bucket

  1 = Leaky Bucket

  algorithm: 0

  The behavior of the rate limit in gubernator.

  0 = BATCHING (Enables batching of requests to peers)

  1 = NO_BATCHING (Disables batching)

  2 = GLOBAL (Enable global caching for this rate limit)

  behavior: 0 An example response would be rate_limits:

  The status of the rate limit. OK = 0, OVER_LIMIT = 1

  The current configured limit

  limit: 10,

  The number of requests remaining

  remaining: 7,

  A unix timestamp in milliseconds of when the bucket will reset, or if

  OVER_LIMIT is set it is the time at which the rate limit will no

  longer return OVER_LIMIT.

  reset_time: 1551309219226,

  Additional metadata about the request the client might find useful

  metadata:

  This is the name of the coordinator that rate limited this request

  "owner": "api-n03.staging.us-east-1.mailgun.org:9041"

  Rate limit Algorithm

  Gubernator currently supports 2 rate limit algorithms.

  1. Token Bucket implementation starts with an empty bucket, then each Hit adds a token to the bucket until the bucket is full. Once the bucket is full, requests will return OVER_LIMIT until the reset_time is reached at which point the bucket is emptied and requests will return UNDER_LIMIT. This algorithm is useful for enforcing very bursty limits. (IE: Applications where a single request can add more than 1 hit to the bucket; or non network based queuing systems.) The downside to this implementation is that once you have hit the limit no more requests are allowed until the configured rate limit duration resets the bucket to zero.
  2. Leaky Bucket is implemented similarly to Token Bucket where OVER_LIMIT is returned when the bucket is full. However tokens leak from the bucket at a consistent rate which is calculated as duration / limit. This algorithm is useful for metering, as the bucket leaks allowing traffic to continue without the need to wait for the configured rate limit duration to reset the bucket to zero.

     Performance

     In our production environment, for every request to our API we send 2 rate limit requests to gubernator for rate limit evaluation, one to rate the HTTP request and the other is to rate the number of recipients a user can send an email too within the specific duration. Under this setup a single gubernator node fields over 2,000 requests a second with most batched responses returned in under 1 millisecond. Peer requests forwarded to owning nodes typically respond in under 30 microseconds. NOTE The above graphs only report the slowest request within the 1 second sample time. So you are seeing the slowest requests that gubernator fields to clients. Gubernator allows users to choose non-batching behavior which would further reduce latency for client rate limit requests. However because of throughput requirements our production environment uses Behaviour=BATCHING with the default 500 microsecond window. In production we have observed batch sizes of 1,000 during peak API usage. Other users who dont have the same high traffic demands could disable batching and would see lower latencies but at the cost of throughput.

     Gregorian Behavior

Depth Clustering

This is a fast and robust algorithm to segment point clouds taken with Velodyne sensor into objects. It works with all available Velodyne sensors, i.e. 16, 32 and 64 beam ones. Check out a video that shows all objects outlined in orange:

Prerequisites

I recommend using a virtual environment in your catkin workspace (` in this readme) and will assume that you have it set up throughout this readme. Please update your commands accordingly if needed. I will be usingpipenv that you can install withpip`.

Set up workspace and catkin

Regardless of your system you will need to do the following steps: cd # navigate to the workspace pipenv shell --fancy # start a virtual environment pip install catkin-tools # install catkin-tools for building mkdir src # create src dir if you don't have it already

Now you just need to clone the repo:

git clone https://github.com/PRBonn/depth_clustering src/depth_clustering

System requirements

You will need OpenCV, QGLViewer, FreeGLUT, QT4 or QT5 and optionally PCL and/or ROS. The following sections contain an installation command for various Ubuntu systems (click folds to expand):

Ubuntu 14.04

Cloud computing is the delivery of computing as a service rather than a product, whereby shared resources, software, and information are provided to computers and other devices as a metered service over a network (typically the Internet).

Deploy functions efficiently using different cloud-based serverless offerings

About

Serverless applications and architectures are gaining momentum and are increasingly being used by companies of all sizes. Serverless software takes care of many problems that developers face when running systems and servers, such as fault tolerance, centralized logging, horizontal scalability, and deployments.

Content

• Understand the benefts of serverless computing and know when to use it
• Develop serverless applications on AWS, Azure, and Google Cloud
• Get to grips with Function as a Service (FaaS)
• Apply triggers to serverless functions
• Build event-driven apps using serverless frameworks
• Use the Node.js programming language to build serverless apps
• Use code editors, such as Visual Studio Code, as development environments
• Master the best development practices for creating scalable and practical solutions

Features

• Understand the concept of Function-as-a-Service
• Implement Serverless solutions using AWS Lambda, Azure Functions and Google Cloud Functions
• Practical approach towards choosing the best tool for your serverless environment

Develop and migrate your enterprise application to the Amazon Web Services platform

About

This course is a practical guide to developing, administering, and managing applications and infrastructures with AWS. With this, you'll be able to create, design, and manage an entire application life cycle on AWS by using the AWS SDKs, APIs, and the AWS Management Console.

Content

• Get to grips with the AWS development platform to access, authenticate, and manage the identity of various applications
• Create a scalable infrastructure using EC2, EBS, the Elastic load balancer, and auto scaling efficiently as per your web traffic requirements
• Manage the whole storage life cycle of AWS using different services such as RDS, S3, and RedShift programmatically
• Design and develop a web application, a batch processing system, and their required infrastructures
• Understand the importance of APIs at the development phase with AWS and leverage the benefits of REST-based APIs call over AWS services
• Explore troubleshooting best practices, security on AWS and disaster recovery plans
• Bootstrap AWS EC2 instances with preconfiguration commands to set up the environment and use Chef for automation and deployment

Features

• Identify and recognize cloud architecture features to design highly available, cost efficient, fault tolerant, and scalable distributed systems
• Code and implement a cloud solution with the help of appropriate techniques and methods such as Amazon EC2, Amazon S3, Elastic Beanstalk, and so on
• A hands-on, example-driven guide that helps you leverage the vast powers of the AWS infrastructure

Deliver great business value by adopting the virtualization platform VMware vSphere 6.5, from the design to the deployment

About

VMware vSphere 6.5 provides a powerful, flexible and secure foundation for next-generation applications which helps you create an effective digital transformation. This course will be based on VMware vSphere 6.5 which empowers you to virtualize any complex application with ease.

Content

• Get a deep understanding of vSphere 6.5 functionalities
• Design and plan a virtualization environment based on vSphere 6.5
• Manage and administer a vSphere 6.5 environment and resources
• Get tips for the VCP6-DCV and VCIX6-DCV exams (along with use of the vSphere 6 documentation)
• Implement different migration techniques to move your workload across different environments.
• Save your configuration, data and workload from your virtual infrastructure.

Features

• This new edition is based on vSphere 6.5 and has described new features in different areas, including management, security, scalability, availability and so on.
• Design, deploy and manage VMware datacenters
• Implement monitoring and security of VMware workloads with ease.

Building Microservices and Web Applications in Python

About

Businesses today are evolving so rapidly that having their own infrastructure to support their expansion is not feasible. As a result, they have been resorting to the elasticity of the cloud to provide a platform to build and deploy their highly scalable applications.This video will be the one stop for you to learn all about building cloud-native architectures in Python. It will begin by introducing you to cloud-native architecture and will help break it down for you. Then you’ll learn how to build microservices in Python using REST APIs in an event-driven approach and you will build the web layer.

Content

• Concepts of Cloud-Native Python
• Understand the twelve-factor app
• Python concepts
• Building microservices
• Testing the RESTful API
• Creating application users
• Creating tweets from users

Features

• Basics of cloud-native with Python.
• Building Microservices
• Testing the RESTful API
• Creating applications and tweets

The only precise guide to help you set up and scale ownCloud for personal and commercial usage

About

Making your data easily accessible on multiple devices is the primary goal of ownCloud. It gives you control of your own data along with the flexibility to set it up the way you want it. Community backup to the project ensures high quality software and gives you the power to modify and create features.

Content

• Choose between SQLite and MySQL
• Integrate ownCloud with OpenLDAP and Active Directory
• Configure custom storage backends such as WebDAV
• Back up ownCloud
• Migrate or restore ownCloud
• Load balance ownCloud components
• Log ownCloud for debugging

Features

• Learn ownCloud User Management
• Scale ownCloud to support thousands of users
• Integrate user management systems such as LDAP

Design, build, and deploy responsive applications using AWS cloud components

About

With the increasing global interest in leveraging cloud infrastructure, AWS Cloud from Amazon offers a cutting-edge platform for architecting, building, and deploying web-scale cloud applications. The variety of features available within AWS can reduce overall infrastructure costs and accelerate the development process for both large enterprises and startups alike.

Content

• Multi-tenant design approaches for SaaS applications
• Planning dev, test, staging, and production environments
• Design considerations for scalability and high-availability
• Planning for DR
• The security considerations and implementation of AWS applications
• Production deployment processes and tools
• Monitoring AWS applications using CloudWatch
• Automating infrastructure using CloudFormation

Features

• Build scalable and highly available real-time applications
• Make cost-effective architectural decisions by implementing your product’s functional and non-functional requirements
• Develop your skills with hands-on exercises using a three-tiered service oriented application as an example

About

OpenStack is a collection of software projects that work together to provide a cloud fabric.

Content

• Get an introduction to OpenStack and its components
• Store and retrieve data and images using storage components, such as Cinder, Swift, and Glance
• Install and configure Swift, the OpenStack Object Storage service, including configuring Container Replication between datacenters
• Gain hands on experience and familiarity with Horizon, the OpenStack Dashboard user interface
• Learn how to automate OpenStack installations using Ansible and Foreman
• Follow practical advice and examples for running OpenStack in production
• Fix common issues with images served through Glance and master the art of troubleshooting Neutron networking

Features

• Harness the abilities of experienced OpenStack administrators and architects, and run your own private cloud successfully
• Learn how to install, configure, and manage all of the OpenStack core projects including topics on Object Storage, Block Storage, and Neutron Networking services such as LBaaS and FWaaS
• Get better equipped to troubleshoot and solve common problems in performance, availability, and automation that confront production-ready OpenStack environments

All vSphere administrators will benefit big-time from this course because it gives you clear, practical instructions on troubleshooting a whole host of storage problems. From fundamental to advanced techniques, it’s all here.

About

Virtualization has created a new role within IT departments everywhere; the vSphere administrator. vSphere administrators have long been managing more than just the hypervisor, they have quickly had to adapt to become a ‘jack of all trades’ in organizations. More and more tier 1 workloads are being virtualized, making the infrastructure underneath them all that more important. Due to this, along with the holistic nature of vSphere, administrators are forced to have the know-how on what to do when problems occur.

This practical, easy-to-understand guide will give the vSphere administrator the knowledge and skill set they need in order to identify, troubleshoot, and solve issues that relate to storage visibility, storage performance, and storage capacity in a vSphere environment.

This course will first give you the fundamental background knowledge of storage and virtualization. From there, you will explore the tools and techniques that you can use to troubleshoot common storage issues in today’s data centers.

Content

• Identify the root cause of storage issues within vSphere
• Understand where to look when storage is suddenly not available
• Use esxtop to monitor and discover pain points in your infrastructure
• Diagnose and resolve SCSI reservations and queuing issues
• Design storage properly based on workloads
• Monitor and alert on your thinly provisioned disks and data store capacity
• Utilize Storage DRS to proactively balance your capacity and workload on your data stores
• Maintain compliance in terms of placement with Profile Driven Storage
• Grant VMs the performance they need with Storage I/O Control
• Decipher storage-related error entries in the vSphere logfiles

Features

• Identify key issues that affect vSphere storage visibility, performance, and capacity
• Comprehend the storage metrics and statistics that are collected in vSphere
• Get acquainted with the many vSphere features that can proactively protect your environment