Author: Ozzy Brightrose

amazon s3 service features

Amazon S3 Service Features

Posted on | by Ozzy Brightrose | Leave a Comment on Amazon S3 Service Features

VPC

1. Write,

Read,

Delete,

For objects from one byte to five terabytes of data,

Number of objects to store is unlimited.

2. Objects are stored in a bucket and retrieved using a special key assigned by the developer.

3. Objects that are stored in a specific Region, remain there until transferred.

4. Authentication mechanisms to make sure that data is secure from unauthorized access. Objects may be private or public, and specific users can get rights granted.

5. Standards-based REST and SOAP interfaces are created for running with various Internet-development toolkits.

6. Flexibility so that protocol or functional layers may easily be added.

Default download protocol: HTTP, and S3 API supports: HTTPS as well.

Default connections are HTTPS for AWS CLI and SDK.

7. Functionality for simplifying manageability of data through lifetime.

Options to:

-Segregate data by buckets

-Monitor and control spend

-Archive data to lower cost storage options

See Also

AWS glacier storage

9. Easy management

Very easy to manage.

Store Management feature allows for a data-driven approach for:

-Storing optimization

-Data security

-Management efficiency

  • Minimal feature set:
amazon-s3-minimal-feature-set
amazon-s3-minimal-feature-set

VPC

1. Write,

Read,

Delete,

For objects from one byte to five terabytes of data,

Number of objects to store is unlimited.

2. Objects are stored in a bucket and retrieved using a special key assigned by the developer.

3. Objects that are stored in a specific Region, remain there until transferred.

4. Authentication mechanisms to make sure that data is secure from unauthorized access. Objects may be private or public, and specific users can get rights granted.

5. Standards-based REST and SOAP interfaces are created for running with various Internet-development toolkits.

6. Flexibility so that protocol or functional layers may easily be added.

Default download protocol: HTTP, and S3 API supports: HTTPS as well.

Default connections are HTTPS for AWS CLI and SDK.

7. Functionality for simplifying manageability of data through lifetime.

Options to:

-Segregate data by buckets

-Monitor and control spend

-Archive data to lower cost storage options

See Also

AWS glacier storage

Route 53

Deeply integrated with other AWS services.

Easy to build solutions that use a variety of AWS services.

Integrations include:

Storage Gateway

CloudFront 

CloudWatch

Kinesis

RDS

Glacier

EBS

DynamoDB

Redshift

Route 53

EMR

VPC

KMS

Lambda

    9. Easy management

    Very easy to manage.

    Store Management feature allows for a data-driven approach for:

    -Storing optimization

    -Data security

    -Management efficiency

    • Minimal feature set:
    amazon-s3-minimal-feature-set
    amazon-s3-minimal-feature-set

    VPC

    1. Write,

    Read,

    Delete,

    For objects from one byte to five terabytes of data,

    Number of objects to store is unlimited.

    2. Objects are stored in a bucket and retrieved using a special key assigned by the developer.

    3. Objects that are stored in a specific Region, remain there until transferred.

    4. Authentication mechanisms to make sure that data is secure from unauthorized access. Objects may be private or public, and specific users can get rights granted.

    5. Standards-based REST and SOAP interfaces are created for running with various Internet-development toolkits.

    6. Flexibility so that protocol or functional layers may easily be added.

    Default download protocol: HTTP, and S3 API supports: HTTPS as well.

    Default connections are HTTPS for AWS CLI and SDK.

    7. Functionality for simplifying manageability of data through lifetime.

    Options to:

    -Segregate data by buckets

    -Monitor and control spend

    -Archive data to lower cost storage options

    See Also

    AWS glacier storage

    Amazon S3 Service Features

    Amazon S3 makes it profoundly easy and simple to move large data either on or out. This is possible with the help of Amazon’s cloud data migration options. Once data is stored in S3, it can directly get tired into low cost and longer-term cloud storage classes as S3 Standard.

    What are the Features of Amazon S3 Services?

    1. Simplicity

    It is very simple to use.

    Has a web-based management console and a mobile application.

    Can be integrated with third-party technologies like full REST APIs and SDKs.

    2. Durability

    Provides a durability of 99.99999% of objects.

    Allows for durable infrastructure to store extremely important data.

    Data is redundantly stored across multiple facilities and multiple devices.

    3. Scalability

    Allows storing as much data as needed.

    Access this data whenever required.

    Scale up or scale down storage needs whenever necessary.

    4. Security

    No security problems.

    Data transferred over SSL.

    Automatic encryption of data when uploaded.

    AWS Identity and Access Management (IAM) to grant object permissions and control access all data.

    5. Availability

    Offers 99.99% availability of objects yearly.

    Backed by Amazon S3 Service Level Agreement, which ensures that you rely on it whenever necessary.

    6. Low Costing

    Allows storing huge amounts of data with very low cost.

    Data can be migrated to S3 standard infrequent access or to Amazon Glacier which further reduces cost.

    7. Simple data transferring

    Easy to move large data in or out.

    Extremely cost-effective.

    To import or export from S3, choose from:

    -Network optimized

    -Physical disk-based

    -Third-party connector methods

    8. Integration

      Route 53

      Deeply integrated with other AWS services.

      Easy to build solutions that use a variety of AWS services.

      Integrations include:

      Storage Gateway

      CloudFront 

      CloudWatch

      Kinesis

      RDS

      Glacier

      EBS

      DynamoDB

      Redshift

      Route 53

      EMR

      VPC

      KMS

      Lambda

      9. Easy management

      Very easy to manage.

      Store Management feature allows for a data-driven approach for:

      -Storing optimization

      -Data security

      -Management efficiency

      • Minimal feature set:
      amazon-s3-minimal-feature-set
      amazon-s3-minimal-feature-set

      VPC

      1. Write,

      Read,

      Delete,

      For objects from one byte to five terabytes of data,

      Number of objects to store is unlimited.

      2. Objects are stored in a bucket and retrieved using a special key assigned by the developer.

      3. Objects that are stored in a specific Region, remain there until transferred.

      4. Authentication mechanisms to make sure that data is secure from unauthorized access. Objects may be private or public, and specific users can get rights granted.

      5. Standards-based REST and SOAP interfaces are created for running with various Internet-development toolkits.

      6. Flexibility so that protocol or functional layers may easily be added.

      Default download protocol: HTTP, and S3 API supports: HTTPS as well.

      Default connections are HTTPS for AWS CLI and SDK.

      7. Functionality for simplifying manageability of data through lifetime.

      Options to:

      -Segregate data by buckets

      -Monitor and control spend

      -Archive data to lower cost storage options

      See Also

      AWS glacier storage

      Posted in S3
      AWS EC2 scheduling

      How AWS EC2 scheduling can save you money

      Posted on | by Ozzy Brightrose | Leave a Comment on How AWS EC2 scheduling can save you money

      AWS EC2 scheduling

      AWS EC2 scheduling is now managed by a service called the AWS Instance Scheduler. This was launched in early 2018 and replaced the old AWS EC2 scheduler. The basic idea behind it, however, is essentially the same.

      The basics of AWS EC2 scheduling

      Possibly the most fundamental principle of the public cloud (at least as far as cost-optimization is concerned) is the idea that you only use what you actually need when you actually need it. In theory, you can just leave employees to spin up the resources they need when they need them and shut them back down again when they’re finished. In practice, this approach almost guarantees that instances will be left running when they’re not required, which is why AWS introduced the concept of scheduling.

      AWS EC2 scheduling is exactly what it sounds like. It allows you to set a time of operation for an AWS EC2 instance at the start of which it will be automatically spun up and at the end of which it will be automatically shut down. You can even prevent people from opening instances during the “out-of-hours” time.

      AWS EC2 scheduling in more detail

      The AWS Instance Scheduler allows you to schedule by time, day of the week, days of the month and months of the year. What’s more, you can create multiple schedules and then use tags to define which schedule should be applied to which instance.

      Tagging is one of AWS’ most useful features. We aren’t going to discuss it in-depth here, but essentially it works much the same way as tagging on social media.

      One of the great features of the AWS Instance Scheduler is that it can be configured to take time zones into consideration. This can make life a whole lot easier when you’re working across different geographical areas. Standardizing on one agreed time zone is fine in theory, but in practice, again, people forget or get confused, especially at periods when clocks are changing.

      Once your scheduling is in place, you define a time interval, let’s say every five minutes, according to which Amazon CloudWatch will trigger an AWS Lambda function which will pull the scheduling information, check the state of each defined instance against the details given in the schedule, and start or stop instances as necessary.

      Setting up AWS EC2 Scheduling

      Most of the process for setting up AWS EC2 scheduling is fairly self-explanatory and relies on nothing more than a knowledge of who uses what resources at what time (and preferably why). There is, however, one field that might give you pause for thought and that is the “enforced” field.

      In short, this field allows you to determine whether or not a resource can be manually started outside the defined running period and/or manually stopped within the defined running period. Sadly it is currently not possible to allow instances to be manually stopped within the defined running period but not manually started outside the defined running period. 

      Your decision as to whether or not to set this field to true will depend on a combination of your priorities and your ability to implement necessary changes promptly. For example, if your priority is to stop people from wasting resources by failing to shut down instances when they are out of use, then you probably want to set this field to true, especially if you’re confident that you can react quickly if any scheduling changes become necessary.

      On the other hand, if you know your business might need to react quickly to events and you’re not confident that there will always be someone around to make prompt updates to scheduling, then you might want to leave it set to false, but have a clear process in place for spinning up events “out of hours”, including a process to have them shut down again and a person who will be held accountable for making sure that this actually happens.

      You may be able to be more strict with development and test environments than you can with your production environment. Realistically, development and test environments are only likely to be used during working hours and are unlikely ever to be used in an emergency. That being so, you can often afford to take a firm stance regarding enforcing scheduling. 

      With a production environment, there’s always the possibility of an emergency, which means you often want to allow some degree of flexibility. That said, you will still want (and need) robust processes in place to prevent this flexibility from being abused, even if only through laziness rather than deliberate malice.

      The cost of the AWS Instance Scheduling Pricing Module

      AWS Instance Scheduler costs $5 per month (in AWS Lambda charges) for each schedule, plus $0.90 per schedule or scheduled service to track the schedule actions as an Amazon CloudWatch metric.

      aws ec2 pricing model

      Amazon EC2 pricing model

      AWS EC2 Pricing Model

      Posted on | by Ozzy Brightrose

      Amazon EC2 Pricing Model

      Distinct kinds of services are the reason for having a variety of pricing models. For example, Amazon EC2 pricing depends on the instance type, while the Amazon Aurora database service takes into consideration charges for data input or output and storage.

       

      Amazon EC2 Pricing Model

      Amazon EC2 Pricing Model

      What are some pricing models for Amazon EC2?

      There are four Models of Pricing for Amazon EC2 instances: On-Demand Instances, Reserved Instances, Spot Instances, and Dedicated Hosts.

      You can analyze & calculate different models using our custom EC2 pricing calculator below

      With this EC2 pricing calculator you can:
      • Compare on demand cost vs reservations options  
      • Find out total cost of ownership over years
      • Determine breakeven point where on demand instance cost exceeds your reserve instance cost 

       

       

      On-Demand Instances

      Users pay for computing capacity per hour or per second, given which instances they run. It does not require any longer-term commitments or upfront payments. The users can increase or decrease their compute capacity as their application demands, with only having to pay the specified hourly rates for the instance they choose to utilize.

      • On-Demand Instances are best used for:
      • Users prefer the low price and flexibility of EC2 without any upfront payment or long-term commitments
      • Applications having spiky, short term or fluctuating workloads that cannot be intervened
      • Applications that are being created or tried on EC2 for the very first time

      Spot Instances

      Those Instances grant the users ability to request spare Amazon EC2 computing capacity for a total of up to ninety percent off the On-Demand price.

      • Spot Instances are best used for:
      • Applications with flexible start and end times
      • Applications with feasibility at very cheap computing charges
      • Users having high necessity computing requirements for a wholesome of additional capacity

      Amazon EC2 places this price and it changes periodically depending on the supply and demand accompanied by the Spot Instance capacity. In case the users’ maximum bids exceed the current Spot price, their bid request will be granted, and their instances will run till they either decide to terminate them or the Spot price exceeds their maximum bid.

      EC2 Reserved Instances

      EC2 Reserved Instances

      AWS EC2 Pricing Model – EC2 Reserved Instances

      Those Instances provide users with a great discount of up to 75 percent, in comparison with On-Demand Instance pricing. Also, upon the assignment of Reserved Instances to a specific Availability Zone, they allow a capacity reservation, granting the additional user confidence in their ability to launch instances when required.

      Applications having known usage should go with Reserved Instances because they can provide greater cost efficiency in comparison to On-Demand Instances.

      Reserved Instances are best used for:

      • Steady-state usage applications
      • Applications with reserve capacity requirements
      • Clients who can remain using EC2 for more than a one or three-year period in order to reduce their total computing costs

      EC2 Dedicated Hosts

      EC2 Dedicated Hosts

      AWS EC2 Pricing – EC2 Dedicated Hosts

      It’s a physical EC2 server made specifically for the utilization of the user. Those hosts can help the users lessen costs by allowing them to use their own server-bound software licenses, such as Windows Server, SQL Server, and SUSE Linux Enterprise Server, and can also help them meet compliance requirements.

      Per-second billing

      With the launching of Amazon EC2, the ability to use an instance for an hour and only pay for that hour was of utmost importance. Nowadays, a lot of clients utilize EC2 to perform many work tasks in a short period, even minutes or seconds. Per-second billing was announced in 2017 for the utilization of Linux instances over On-Demand, Reserved, and Spot Instances.

      Likewise, provisioned storage for EBS volumes is priced in one-second increments. Per-second billing is cost-effective. It’s generally efficient for resources that have periods of low and high usage, like development and testing, batch and data processing, analytics and gaming applications.

      How to Estimate Amazon EC2 Costs?

      The following factors should be taken into consideration when estimating the cost of using Amazon EC2:

      1. Pricing model:

      On-Demand Instances give you the ability to pay for computing capacity by the hour with no minimum commitments required. Reserved Instances grant you the possibility to place a low one-time payment, or no payment, for every instance you want to reserve and, in turn, get a huge discount on the hourly usage charge for that instance. Spot Instances give the ability to bid for free EC2 capacity.

      2. The number of instances:

      Multiple instances of EC2 and EBS resources can be provisioned with the aim of handling peak loads.

      3. Load balancing:

      An Elastic Load Balancer may be utilized for the distribution of traffic among EC2 Instances. The amount of data that the Elastic Load Balancer processes and the number of hours it runs affect the monthly cost.

      4. Clock hours of server time:

      Charges are made to resources while they are running. For example, from the period that instances are launched till they are stopped or from the period Elastic IPs are allocated till they get de-allocated.

      5. Detailed monitoring:

      Amazon CloudWatch can be used for monitoring your EC2 instances. Basic monitoring is enabled by default. To get a fixed monthly rate, you can choose detailed monitoring, which gets seven preselected metrics recorded once every minute. Charges are made to Partial months at a per instance-hour rate.

      6. Elastic IP addresses:

      Elastic IP addresses

      AWS EC2 Pricing – Elastic IP addresses

      Only one Elastic IP (EIP) address can be associated with a running instance for free.

      7. Instance type:

      A wide variety of instance types are provided by EC2 and configured to go with different use cases. The types of instances comprise changing combinations of storage, networking capacity, CPU and memory and give you the freedom to select the suitable mix of resources for each of your applications. Every instance type has one instance size at least, providing you with the ability to scale your resources to the needs of your target workload.

      8. Operating systems and software packages:

      OS charges are found in instance prices unless you wish to get your own licenses. No additional licensing costs are needed to run the following commercial operating systems: SUSE Enterprise Linux, Oracle Enterprise Linux, Red Hat Enterprise Linux, and Windows Server.

      AWS made it simple for you by grouping up with IBM, Microsoft and several other vendors so you can run commercial software packages, like Microsoft SQL Server on EC2 Instances. AWS doesn’t provide commercial software packages where you need to get a license from the vendors. If you have an existing License, you can also bring it to the cloud through specific vendor programs like Microsoft License Mobility Through Software Assurance Program.

      Auto Scaling:

      It automatically alters the number of EC2 instances in your deployment in accordance with the conditions you place. This service requires no other payment than the Amazon CloudWatch fees.

      See Also

      AWS purchasing optionsCompare on demand cost vs reservations options 

      AWS Purchasing Options

      Amazon AWS Purchasing Options

      Posted on | by Ozzy Brightrose | Leave a Comment on Amazon AWS Purchasing Options

      How are EC2 Instances Purchased?

      Amazon offers 3 different ways to purchase EC2 instances. The different purchase options are available for all EC2 Instance Types. On-Demand Instances, Reserved Instances and Spot Instances. Depending on your technical and financial requirements, one of these options might provide a comparative advantage over the other. There is no difference in terms of the underlying hardware that is being launched. Only the pricing model is different. It’s important to properly understand the costs and benefits associated with each option.

       

      On-Demand Instances

      The most common instance purchase option follows the On-Demand pricing model. There is a fixed price for a particular instance type. You will be charged at an hourly rate until the instance is terminated.

      Reserved Instances

      While purchasing a Reserved Instance, you will need to specify a particular instance type, like m1.small and availability zone such as ‘us-east-1a’. Check the website, http://aws.amazon.com/ec2/, for present pricing data. EC2 instances are mainly treated the same as on-demand instances in the Dashboard. The only difference is the way that Amazon bills your EC2 instance utility. If you purchase Reserved Instances of a specific type in an availability zone and you have existing instances of the same instance type running in that zone, they will automatically be charged at the lower utility rate.

      It’s the same Launching process when it comes to Reserved and On-Demand instances, but the system will apply the lower usage rate based on the number of Reserved Instances in that zone of the same type. They are the best purchasing option for businesses that have overly predictable and stable usage needs, and can offer huge cost savings over time. For example, if you’re certain about always having a minimum of four instances running at a stable rate for the upcoming year, you need to consider purchasing four Reserved Instances for a one-year team. Keep in mind that you can always refer to On-Demand Instances to suffice any additional resource requirements.

      One of the other benefits of Reserved Instances is that you get to have the priority over On-Demand and Spot Instance users. In case the instance capacity ever reaches a limitation in a specific availability zone, Reserved Instance users have highest priority for launching instances. In case instance capacity ever goes up to 100% used in a specific availability zone, Amazon directly goes ahead and reserves the right to terminate a Spot Instance so that it can be provisioned for the satisfaction of getting a Reserved Instance launch request.

      Spot Instances

      Amazon provides Spot Instances which allow users to bid on free compute capacity on EC2, so that it gets the chance to maximize the utilization rates of existing cloud resources.

      Users can set a maximum bid price that they’re willing to provide for an instance, for example $0.055. In case the Spot Price for Spot Instances drops below their maximum bid price, a Spot Instance will then be launched.

      A running Spot Instance gets billed at the variable Spot Price, not the user’s bid price. A Spot Instance will continue to run while the Spot Price stays under the user’s maximum bid price. Yet, in case the Spot Price exceeds your maximum bid price or Amazon requires your Spot Instance in order to satisfy an On-Demand or Reserved Instance launch request, your Spot Instance will be certainly terminated by default.

      Generally, Amazon updates the Spot Price multiple times through the day. When you request Amazon for a Spot Instance, you will need to wait till Amazon can satisfy that request. It might take multiple days or weeks before an Instance is launched, in accordance with your maximum bid price and Amazon’s excess compute capacity and Spot Price. Hence, don’t launch a Spot Instance if you wish to directly launch a server.

      This option is helpful for running non-critical applications, since the instance may be terminated anytime. Never refer to a Spot Instance to launch a server that needs consistent uptime. When a Spot Instance server is launched inside the Dashboard, this server will stay in a “bidding” state till more compute capacity is available and the Spot Price drops below your maximum bid price. In case a Spot Instance is launched and later terminated by Amazon, the server will stay in the ‘bidding’ state. RightScale will automatically persist your Spot Instance request with Amazon until a new instance is launched when another becomes available. To retract your request for a Spot Instance from Amazon, you need to manually terminate the server.

      AWS EC2 instance scheduling

      AWS EC2 instance Scheduling

      AWS EC2 Scheduling

      Posted on | by Ozzy Brightrose | Leave a Comment on AWS EC2 Scheduling

      What is an AWS Instance Scheduler and What is it Used For?

      aws-ec2-scheduling
      aws ec2 scheduling
      • The advantages of distributed computing incorporate adaptability and flexibility – as you just need to pay for the computing power your association needs. EC2 instances, as the fundamental compute service provided by AWS, EC2 pricing, when acquired on request, depends on the period of time the instance is utilized by the hour or the second.
      • While this should imply that clients pay for what they require, the truth for some cloud clients is that this isn’t the situation. Non-production resources, for example, those utilized for advancement, testing, organizing, and QA, are ordinarily just required during workdays, 5 days each week. Regardless if it’s because of imprudence or absence of mindfulness, a significant number of these instances is left running 24×7, bringing about billions of dollars in squandered yearly dollars.
      • It’s a simple rule: pay for the amount that you utilize. Cloud services need to be looked at just like any other utility. You have to use them merely when required to avoid spending more than necessary. You wouldn’t leave your cellphone running or leave the TV on all night, so why would you leave your instances running while you’re not using them? A simple AWS EC2 scheduler can do the savings for you.
      • Alongside providing a means to automate EC2 schedules easily, an EC2 scheduler also aids organizations with governance for their AWS accounts by Role-Based Access Control without giving direct access to the AWS EC2 management console. The application used to automate EC2 schedules offers a single-view dashboard of all of an organization’s accounts. This view paves the way for administrators to create role and team structures, set permission levels and monitor activity.
      • AWS management tools which provide an AWS scheduler service may also offer on the house cost control functionality to lessen cloud waste, like resource “rightsizing” to get resources that are overprovisioned and make it simple to resize them for additional cost savings. By decreasing an instance by one size, you can save fifty percent of the EC2 cost. By decreasing two sizes, you can save seventy-five percent of the original cost. Joining multiple cost-savings techniques, like scheduling and rightsizing, gives out the highest savings amount.

      How can an EC2 Scheduler Optimize Costs?

      It makes it simple to automatically start and stop ec2 instances so that they are turned off when not required. A lot of AWS monitoring tools merely offer cost visibility, while a scheduler actually gives results as it takes action to reduce costs.

      How to Use A Scheduler?

      • An instance scheduler mostly takes the form of an application to which users connect with their IAM credentials or with an IAM role.
        • The application points out the instances entitled to the user´s AWS account and shows those it finds suitable for scheduling.
        • The information available about the Instance Purchasing Option, Type and Region, enables users to choose those they wish to schedule or look for specific non-production instances to schedule.
      • Ways to Determine On/Off Schedules:

      The main idea is in placing instance off times by schedules. Generally, these schedules can be set in three ways:

      1. Schedules that are user-determined and rely on typical operations for your association. For example, if your team typically works 8 AM to 5 PM Monday through Friday, you should set schedules to turn non-production instances on during those times, and off for the rest of the week.
      2. By AWS automation in a policy engine that utilizes instance names and tags to provide schedules. For example, if you want to make a “QA team schedule”, you might need for all instances tagged “QA” to be placed on that schedule.
      3. By machine learning. Through relying on resource utilization history provided by AWS, AWS automation tools can automatically provide you with customized on or off schedule recommendations for every EC2 instance.

      Newly prepared parking schedules are easy to design with the interactive UI. Days of the week and times of the day are shown on a grid and can easily be chosen with a click of a button. You can highlight the times where you want non-production EC2 instances parked, and then place the schedule to those appropriate instances.

      Quickly, the UI will show a figure referring to the projected savings over the next thirty days, providing you with valuable insight as to optimal use does for cost reduction. The value of the projected savings will rise since more non-production instances are being added to the parking schedule.

      Amazon recommends you to design various custom schedules to consider different usage scenarios, stating that a “one-size-fits-all” schedule is not the most efficient or realistic.

      AWS EC2 elastic compute cloud

      Amazon EC2 (Elastic Compute Cloud)

      Characteristics of Amazon EC2 (Elastic Compute Cloud)

      Posted on | by Ozzy Brightrose | Leave a Comment on Characteristics of Amazon EC2 (Elastic Compute Cloud)

      What is AWS EC2 (Elastic Compute Cloud)?

      It’s an interface, based on web service, which supplies editable compute space in the AWS cloud. It is created so that developers can have total command over computing resources and web-scaling. You can resize EC2 Instances and scale their number up or down as you choose. You can launch them in single or multiple Availability Zones and geographical regions. Every region consists of multiple Availability Zones at different locations, linked by networks of a similar region having fast response time.

      What is AWS EC2

      What is AWS EC2

      What does EC2 Consist of?

      EC2 is mainly made up of the following important elements:

      • Error Tolerance and Consistency

      It paves the way for users to create error-tolerant apps, in addition to containing geographic regions and remote locations called availability zones that tolerate fault occurrences and aim for consistency.

      There is no sharing whatsoever of precise locations for security purposes. As soon as an instance is launched, the AMI chosen should be in the exact region where the instance will be running.

      Instances are spread across various availability zones in order to deliver ongoing services even in the presence of failures, and Elastic IP addresses will swiftly point out failed instance addresses to simultaneous working instances found in different zones to evade any postponement.

      • Privacy and Security

      Total command over the visibility of AWS accounts is granted to the users. EC2’s security systems give way to the creation of groups and the placement of working instances into it as required.

      The groups, that other groups communicate with, can be selected by the user, in addition to groups that internet IP subnets have the ability to talk to.

      • Migration Service

      It provides the users with the ability to transfer existing apps into EC2. The cost to get this service is 2.49$ to hour for data loading and 80$ to storage device. It mostly benefits users aiming to joggle a great amount of data for transfer.

      • Operating System Support

      There are various operating systems that are supported by EC2, but require the payment of further licensing fees, such as:

      Oracle Enterprise Linux, Windows Server, Red Hat Enterprise, UNIX and SUSE Enterprise.

      The implementation of those operating systems is required in combination with Amazon Virtual Private Cloud.

      Setting Prices

      It provides multiple pricing options relying on the kind of resources, the kind of apps and database. It gives users the ability to optimize their resources and calculate the expenses in accordance to that.

      What are the Characteristics of EC2?

      • Safe

      It operates in a secure environment called Amazon Virtual Private Cloud which enables users to work in a safe and stable platform.

      • Cost Effective

      It only gets users to pay for the resources which they choose to perceive, and it consists of various purchasing plans like Reserved Instances, Spot Instances and Demand Instances, which can be chosen as needed.

      • Credible 

      It provides the users with a reliable network where the change of instances can easily and quickly be made. The Service Level Agreement obligation is 99.9% availability for every EC2 region.

      • Flexibility of Tools

      It supplies the users with tools used by developers and system administrators for developing failure apps and staying far away as possible from any failures.

      • Created for Amazon Web Services

      It operates perfectly well with the Amazon services such as Amazon DynamoDB, Amazon S3, Amazon SQS and Amazon RDS. It gives the users a total settlement for query processing, computing and storage over a vast variety of applications.

      How is EC2 Used?

      These are the steps needed to get to a successful launching and preparation method:

      First: Log into your AWS account and go to the IAM console using this link: https://console.aws.amazon.com/iam/.

      Second: Go to Navigation Panel and click on create/view groups and do as the instructions require of you.

      AWS EC2 navigation

      AWS EC2 navigation

      Third: Create an IAM user, click on users in the navigation pane, then go head and start creating new users and adding them to the groups.

      EC2 navigation IAM user

      EC2 navigation IAM user

      Fourth: Start up a Virtual Private Cloud by following this process:

      • Go to this link, https://console.aws.amazon.com/vpc/, to open Amazon VPC console.
      • Click on VPC from the Navigation Panel, then choose the exact region you used when creating key-pair.
      EC2 navigation panel

      EC2 navigation panel

      • Click “start VPC wizard” from the VPC dashboard.
      • Choose VPC configuration page and check that VPC with single subnet is chosen. Then click on Select.
      • A VPC with a single public subnet page is going to open, so now enter the VPC name in the name box and discard the rest of the configurations put as default.
      • Choose “create VPC” and click “Ok”.

      Fifth: Create WebServerSG security groups and add the rules by following this process:

      • In the Navigation Panel of the VPC console, click on Security groups.
      • Choose “create security group” and complete the required information (group name, name tag, etc.).
      EC2 security group

      EC2 security group

      EC2 create security group

      EC2 create security group

      • Choose your VPC ID from the menu, then click yes, create button.
      • Right about now you can see that a group is created. Click the edit option in the inbound rules tab to start creating rules.

      Sixth: Launch an EC2 Instance into VPC by following this process:

      EC2 launch instance

      EC2 launch instance

      • Once a new page is opened, select Instance Type and fill the configuration, then click on Next: Configure Instance Details.
      • Now another new page is opened, so choose VPC from the network list and click on subnet from the subnet list while keeping the other settings default.
      • Click on Next, till the Tag Instances page shows up.

      Seventh: When reaching the Tag Instances page, give a tag with a name to the instances, then click on Next: Configure Security Group.

      Eighth: From the Configure Security Group page, click on “Select an existing security group option”. Choose the WebServerSG group which we had previously created, and then select Review and Launch.

      Ninth: Review Instance details on the Review Instance Launch page, and choose the Launch button.

      Tenth: When a pop-up dialog box opens, choose an existing key pair or create a new key pair. Later, click on the acknowledgement check box and click the Launch Instances button.

      ec2 auto scaling