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What are the Benefits of cloud computing?

Antero Technology Group

     

   Benefits of cloud computing

Cloud computing isn't an all-or-nothing service approach. Companies can choose to use the cloud to store their data and execute logic as much, or as little, as necessary to fulfill their business requirements. Existing businesses might choose a gradual movement to save money on infrastructure and administration costs (referred to as "lift and shift"), while a new company might start in the cloud.

Let's learn some of the top benefits of cloud computing.

It's cost-effective

Cloud computing provides a pay-as-you-go or consumption-based pricing model.

This consumption-based model brings with it many benefits, including:

  • No upfront infrastructure costs
  • No need to purchase and manage costly infrastructure that you may not use to its fullest
  • The ability to pay for additional resources only when they are needed
  • The ability to stop paying for resources that are no longer needed

This also allows for better cost prediction. Prices for individual resources and services are provided so you can predict how much you will spend in a given billing period based on your expected usage. You can also perform analysis based on future growth using historical usage data tracked by your cloud provider.



It's scalable

You can increase or decrease the resources and services used based on the demand or workload at any given time. Cloud computing supports both vertical and horizontal scaling depending on your needs.

Vertical scaling, also known as "scaling up", is the process of adding resources to increase the power of an existing server. Some examples of vertical scaling are: adding more CPUs, or adding more memory.

Horizontal scaling, also known as "scaling out", is the process of adding more servers that function together as one unit. For example, you have more than one server processing incoming requests.

Scaling can be done manually or automatically based on specific triggers such as CPU utilization or the number of requests and resources that can be allocated or de-allocated in minutes.



It's elastic

As your workload changes due to a spike or drop in demand, a cloud computing system can compensate by automatically adding or removing resources.

For example, imagine your website is featured in a news article, leading to a spike in traffic overnight. Since the cloud is elastic, it automatically allocates more computing resources to handle the increased traffic. When the traffic begins to normalize, the cloud automatically de-allocates the additional resources to minimize cost.

Another example is if you are running an application used by employees, you can have the cloud automatically add resources for the peak operating hours during which most people access the application, and remove the resources at the usual end of the day.



It's current

When you use the cloud, you're able to focus on what matters: building and deploying applications. Cloud usage eliminates the burdens of maintaining software patches, hardware setup, upgrades, and other IT management tasks. All of this is automatically done for you to ensure you're using the latest and greatest tools to run your business.

Additionally, the computer hardware is maintained and upgraded by the cloud provider. For example, if a disk fails, the disk will be replaced by the cloud provider. If a new hardware update becomes available, you don't have to go through the process of replacing your hardware. The cloud provider will ensure that the hardware updates are made available to you automatically.



It's reliable

When you're running a business, you want to be confident your data is always going to be there. Cloud computing providers offer data backup, disaster recovery, and data replication services to make sure your data is always safe. In addition, redundancy is often built into cloud services architecture so if one component fails, a backup component takes its place. This is referred to as fault tolerance and it ensures that your customers aren't impacted when a disaster occurs.



It's global

Cloud providers have fully redundant datacenters located in various regions all over the globe. This gives you a local presence close to your customers to give them the best response time possible no matter where in the world they are.

You can replicate your services into multiple regions for redundancy and locality, or select a specific region to ensure you meet data-residency and compliance laws for your customers.



It's secure

Think about how you secure your datacenter. You have physical security – who can access the building, who can operate the server racks, and so on. You also have digital security – who can connect to your systems and data over the network.

Cloud providers offer a broad set of policies, technologies, controls, and expert technical skills that can provide better security than most organizations can otherwise achieve. The result is strengthened security, which helps to protect data, apps, and infrastructure from potential threats.

When it comes to physical security – threats to cloud infrastructure, cloud providers invest heavily in walls, cameras, gates, security personnel, and so on, to protect physical assets. They also have strict procedures in place to ensure employees have access only to those resources that they've been authorized to manage.

Let us talk about digital security. You want only authorized users to be able to log into virtual machines or storage systems running in the cloud. Cloud providers offer tools that help you mitigate security threats, and you must use these tools to protect the resources you use.




What are the Cloud Concepts? - Principles of cloud computing Microsoft Azure

Antero Technology Group



                             

           Introduction

When you turn on a light, you simply want the light to work. You know you need electricity for that to happen, but in that moment, the details of how the electricity gets to the light bulb aren't important. You might not think about electricity being created in a power plant, traveling through a large network of high-voltage transmission lines to your town, going through a substation, and eventually making its way into your home.





The process of turning on a light is hidden behind the simple act of flipping a switch. At this point, electricity becomes a utility, which has many benefits. First, you only pay for what you need. When you buy a light bulb, you don't pay your electricity provider up front for how long you could possibly use it. Instead, you pay for the amount of electricity that you actually use. Second, you don't worry about how or when power plants upgrade to the latest technology. Finally, you don't have to manage scaling the electricity. For example, as people move to your town, you can rest assured that your light will stay on.

As a technology professional, it would be nice to have these same benefits when developing and deploying applications. Storing data, streaming video, or even hosting a website all require managing hardware and software. This management is an unnecessary obstacle when delivering your application to your users. Luckily there is a solution to this problem: cloud computing.



Learning objectives

In this module, you will:

  • Explore common cloud computing services
  • Explore the benefits of cloud computing
  • Decide which cloud deployment model is best for you


What is cloud computing?


Cloud computing is renting resources, like storage space or CPU cycles, on another company's computers. You only pay for what you use. The company providing these services is referred to as a cloud provider. Some example providers are Microsoft, Amazon, and Google.

The cloud provider is responsible for the physical hardware required to execute your work, and for keeping it up-to-date. The computing services offered tend to vary by cloud provider. However, typically they include:

  • Compute power - such as Linux servers or web applications used for computation and processing tasks
  • Storage - such as files and databases
  • Networking - such as secure connections between the cloud provider and your company
  • Analytics - such as visualizing telemetry and performance data

Cloud computing services

The goal of cloud computing is to make running a business easier and more efficient, whether it's a small start-up or a large enterprise. Every business is unique and has different needs. To meet those needs, cloud computing providers offer a wide range of services.

You need to have a basic understanding of some of the services it provides. Let's briefly discuss the two most common services that all cloud providers offer – compute power and storage.



Compute power

When you send an email, book a reservation on the Internet, pay a bill online, or even take this Microsoft Learn module you're interacting with cloud-based servers that are processing each request and returning a response. As a consumer, we're all dependent on the computing services provided by the various cloud providers that make up the Internet.

When you build solutions using cloud computing, you can choose how you want work to be done based on your resources and needs. For example, if you want to have more control and responsibility over maintenance, you could create a virtual machine (VM). A VM is an emulation of a computer - just like your desktop or laptop you're using now. Each VM includes an operating system and hardware that appears to the user like a physical computer running Windows or Linux. You can then install whatever software you need to do the tasks you want to run in the cloud.

The difference is that you don't have to buy any of the hardware or install the OS. The cloud provider runs your virtual machine on a physical server in one of their datacenters - often sharing that server with other VMs (isolated and secure). With the cloud, you can have a VM ready to go in minutes at less cost than a physical computer.

VMs aren't the only computing choice - there are two other popular options: containers and serverless computing.

What are containers?

Containers provide a consistent, isolated execution environment for applications. They're similar to VMs except they don't require a guest operating system. Instead, the application and all its dependencies is packaged into a "container" and then a standard runtime environment is used to execute the app. This allows the container to start up in just a few seconds, because there's no OS to boot and initialize. You only need the app to launch.

The open-source project, Docker, is one of the leading platforms for managing containers. Docker containers provide an efficient, lightweight approach to application deployment because they allow different components of the application to be deployed independently into different containers. Multiple containers can be run on a single machine, and containers can be moved between machines. The portability of the container makes it easy for applications to be deployed in multiple environments, either on-premises or in the cloud, often with no changes to the application.

What is serverless computing?

Serverless computing lets you run application code without creating, configuring, or maintaining a server. The core idea is that your application is broken into separate functions that run when triggered by some action. This is ideal for automated tasks - for example, you can build a serverless process that automatically sends an email confirmation after a customer makes an online purchase.

The serverless model differs from VMs and containers in that you only pay for the processing time used by each function as it executes. VMs and containers are charged while they're running - even if the applications on them are idle. This architecture doesn't work for every app - but when the app logic can be separated to independent units, you can test them separately, update them separately, and launch them in microseconds, making this approach the fastest option for deployment.

Here's a diagram comparing the three compute approaches we've covered.

Diagram showing a comparison of virtual machines, containers, and serverless computing.

The three verticals, virtual machines, containers, and serverless, show different architectures. Virtual machines starts at physical hardware and has layers built on it: host operating system, hypervisor controller, and then two virtual machines on top with one running Linux and two apps and one running Windows and two apps. Containers starts with physical hardware with additional layers: host operating system, container engine, and then three containers, each with their own dependencies and hosted apps. Serverless starts with physical hardware with additional layers: host operating system, serverless runtime, and then eight functions.

Storage

Most devices and applications read and/or write data. Here are some examples:

  • Buying a movie ticket online
  • Looking up the price of an online item
  • Taking a picture
  • Sending an email
  • Leaving a voicemail

In all of these cases, data is either read (looking up a price) or written (taking a picture). The type of data and how it's stored can be different in each of these cases.

Cloud providers typically offer services that can handle all of these types of data. For example, if you wanted to store text or a movie clip, you could use a file on disk. If you had a set of relationships such as an address book, you could take a more structured approach like using a database.

The advantage to using cloud-based data storage is you can scale to meet your needs. If you find that you need more space to store your movie clips, you can pay a little more and add to your available space. In some cases, the storage can even expand and contract automatically - so you pay for exactly what you need at any given point in time.










Summary

Every business has different needs and requirements. Cloud computing is flexible and cost-efficient, which can be beneficial to every business, whether it's a small start-up or a large enterprise.




AWS EC2 Tutorial For Beginners | Introduction to Amazon EC2 | What is Elastic Compute Cloud ?

Antero Technology Group








  • Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides secure, re sizable compute capacity in the cloud. It is designed to make web-scale cloud computing easier for developers. Amazon EC2’s simple web service interface allows you to obtain and configure capacity with minimal friction. It provides you with complete control of your computing resources and lets you run on Amazon’s proven computing environment.

    7x fewer downtime hours than the next largest cloud provider*
    Millions of customers ranging from enterprises to startups
    24 regions and 76 availability zones globally
    275 instances for virtually every business need






Reliable, Scalable, Infrastructure On Demand

  • Increase or decrease capacity within minutes, not hours or days
  • SLA commitment of 99.99% availability for each Amazon EC2 region. Each region consists of at least 3 availability zones
  • The AWS Region/AZ model has been recognized by Gartner as the recommended approach for running enterprise applications that require high availability



Vast Breadth and Depth of Compute Services

  • More workloads including SAP, HPC, Machine Learning, Windows, and many more run on AWS than on any other cloud
  • 275 instance types to help optimize the cost and performance of your workloads
  • Available with choice of processor, storage and networking options, operating system, and purchase model



Security is our top priority

  • Lockdown security model prohibits administrative access eliminating possibility of human error and tampering
  • With the AWS Nitro System virtualization resources are offloaded to dedicated hardware and software minimizing the attack surface
  • AWS supports 89 security standards and compliance certifications including PCI-DSS, HIPAA/HITECH, FedRAMP, GDPR, FIPS 140-2, and NIST 800-171, which is meaningfully more than any other cloud provider






Building Blocks

Amazon EC2 offers the broadest and deepest choice of instances, built on the latest compute, storage, and networking technologies and engineered for high performance and security.







Faster innovation and increased security with AWS Nitro System

The AWS Nitro System is the underlying platform for our next generation of EC2 instances that offloads many of the traditional virtualization functions to dedicated hardware and software to deliver high performance, high availability, and high security while also reducing virtualization overhead. The Nitro System is a rich collection of building blocks that can be assembled in many different ways, giving us the flexibility to design and rapidly deliver new EC2 instance types with an ever-broadening selection of compute, storage, memory, and networking options.




Choice of processors

A choice of latest generation Intel XeonAMD EPYC, and AWS Graviton CPUs enables you to find the best balance of performance and price for your workloads. EC2 instances powered by NVIDIA GPUs and AWS Inferentia are also available for workloads that require accelerated computing such as machine learning, gaming, and graphic intensive applications.






High performance storage

Amazon Elastic Block Store (EBS) provides easy to use, high performance block storage for use with Amazon EC2. Amazon EBS is available in a range of volume types that allow you to optimize storage performance and cost for your workloads. Many EC2 instance types also come with options for local NVMe SSD storage for applications that require low latency.






Enhanced networking

AWS is the first and only cloud to offer 100 Gbps enhanced Ethernet networking for compute instances. Enhanced networking enables you to get significantly higher packet per second (PPS), lower network jitter, and lower latency. For high performance computing (HPC) applications, Elastic Fabric Adapter is a network interface for Amazon EC2 instances that offers low-latency, high-bandwidth interconnect between compute nodes to help scale applications to thousands of cores.














General-Purpose
Ideal for business critical applications, small and mid-sized databases, web tier applications, and more.










Compute Optimized
Ideal for high performance computing, batch processing, video encoding, and more.











Memory Optimized
Ideal for high performance databases, distributed web scale in-memory caches, real time big data analytics, and more.










Accelerated Computing
Ideal for machine learning, graphic intensive applications, gaming, and more.












Storage Optimized
Ideal for NoSQL databases, data warehousing, distributed file systems, and more.











How to create AWS free tier account?

Antero Technology Group




Here you know about AWS free tier account creation and usability and some interesting facts about AWS free tier accessibility.

If you are new for cloud platform and want to learn how cloud services work then Amazon Web Services(AWS) is the best option for you. Because AWS give free tier account to experience cloud platform for free.

So here I give you step by step process that you need to follow for creating AWS free tier account. And Some facts and usage limitation of Free AWS account.

So Let’s Begin And First, we see …

How to create AWS free tier account

Step 1: Go to https://aws.amazon.com/free/

Step 2: Click On Create a Free Account Button or Click on Create an AWS Account button (Top right corner) as shown below.








Step 3: In this Create a Free Account form, you need to fill in your basic information like your Email Address, Password, and Name of Your Account as shown below.

Filling this form click on continue.









Step 4: Clicking on Continue you will redirect to the Contact Information Page. Here you need to select your account type like professional or personal. And then fill your full name, Company name, Phone number, country, Address, City, State, the Postal code then after agreeing the terms and condition of AWS policy click on Create Account and Continue as shown below.

 

 



Step 5: After finishing Contact information you will be redirected to payment Information page as shown below.





Here you don’t need to pay anything, but only just to verify your identity you need to provide your payment details. Like your credit/debit card number, card expiration date, cardholder name, billing address, pan number is not mediatory. After providing all this detail click on Secure submit. 

Step 6: When you have done all this step 1 to 5 then AWS will verify your card detail with your account detail and then verify your mobile number by sending verify code by calling you or by sending a message to your registered mobile number. After this verification your done. Your AWS free tier account is ready to use.

Before you start to use AWS free tier account I give you some important Usability tips for AWS free tier account.



AWS Free Tier Usage & Facts

Here I give you some question and their answer related to aws free tier Usage & Facts

Question #1: When does the AWS free tier account expire?

When you complete all registration steps and login to your aws account after that 12 months is applicable for aws free tier account.

Question #2: Number of Instances allowed in aws free tier plan

Amazon charges based on hours of usage, not based on a number of instances you are running. So you can run many numbers of instances in aws free tier with some configuration as shown below.

They have clearly mentioned that the aws free tier includes:

  1. 750 hours of Amazon EC2 Linux/UNIX or RHEL or SLES Micro Instance usage (613 MB of memory and 32-bit and 64-bit platform support) – enough hours to run continuously each month*
  2. 750 hours of Amazon EC2 Microsoft Windows Server‡ Micro Instance usage (613 MB of memory and 32-bit and 64-bit platform support) – enough hours to run continuously each month*
  3. 750 hours of an Elastic Load Balancer plus 15 GB data processing*
  4. 30 GB of Amazon Elastic Block Storage, plus 2 million I/Os and 1 GB of snapshot storage

Question #3: Elastic IP addresses

Allocating and using one Elastic IP addresses per instance is basically free, except if the Elastic IP address is not currently associated with an instance. As per section Elastic IP Addresses on page Amazon EC2 Pricing:

  • $0.00 for one Elastic IP address associated with a running instance
  •  $0.005 per additional Elastic IP address associated with a running instance per hour on a pro rata basis
  •  $0.005 per Elastic IP address not associated with a running instance per hour on a pro rata basis









Our Team

  • Yogendra MishraInternetwork / Expert
  • Shailendra MishraSecurity / Analyst
  • Ajit TiwariServer / Expert
  • Sanjeev TiwariHacking / Expert