Lindsey  Koepp

Lindsey Koepp

1603780320

How to Create EC2 Instance in AWS — Tutorial for Beginners

EC2 stands for, Elastic Compute Cloud. It is a part of Amazon’s cloud-computing platform, Which allows users to rent virtual computers on which they can run their own computer applications. Creating and using the EC2 instance is very simple. Following are the steps:

Step 1: Create an Account in EC2

1.1) Go to and the following screen will get a display.

1.2) Click on “Create an AWS Account”

amazon EC2

1.3) Start filling the account creation form.

You will require your email Id, Phone Number, and Credit/Debit card details. AWS is free for 12 months, however, it is mandatory to fill in payment details to create an account.

aws account

1.4) After filling in all the required information, your account will get created. Within 24 hours all the services (like EC2) will get activated on your account. (but mostly it take 5-10 minutes)

#cloud #tutorial #amazon #ec2 #aws ec2

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How to Create EC2 Instance in AWS — Tutorial for Beginners
Rory  West

Rory West

1621745280

Create EC2 instance from AWS Console

What is EC2 Instance?

Secure and resizable compute capacity in the cloud.

Amazon Elastic Compute Cloud ( Amazon EC2) is a web service that provides secure, resizable compute capacity in the cloud. It is designed to make web-scale cloud computing easier for developers.

In this article let us see how to create On-demand EC2 instance from Console.

#create-ec2-instance #aws-ec2-instance #ec2-instance #amazon-web-services #aws

Lindsey  Koepp

Lindsey Koepp

1603780320

How to Create EC2 Instance in AWS — Tutorial for Beginners

EC2 stands for, Elastic Compute Cloud. It is a part of Amazon’s cloud-computing platform, Which allows users to rent virtual computers on which they can run their own computer applications. Creating and using the EC2 instance is very simple. Following are the steps:

Step 1: Create an Account in EC2

1.1) Go to and the following screen will get a display.

1.2) Click on “Create an AWS Account”

amazon EC2

1.3) Start filling the account creation form.

You will require your email Id, Phone Number, and Credit/Debit card details. AWS is free for 12 months, however, it is mandatory to fill in payment details to create an account.

aws account

1.4) After filling in all the required information, your account will get created. Within 24 hours all the services (like EC2) will get activated on your account. (but mostly it take 5-10 minutes)

#cloud #tutorial #amazon #ec2 #aws ec2

Christa  Stehr

Christa Stehr

1598408880

How To Unite AWS KMS with Serverless Application Model (SAM)

The Basics

AWS KMS is a Key Management Service that let you create Cryptographic keys that you can use to encrypt and decrypt data and also other keys. You can read more about it here.

Important points about Keys

Please note that the customer master keys(CMK) generated can only be used to encrypt small amount of data like passwords, RSA key. You can use AWS KMS CMKs to generate, encrypt, and decrypt data keys. However, AWS KMS does not store, manage, or track your data keys, or perform cryptographic operations with data keys.

You must use and manage data keys outside of AWS KMS. KMS API uses AWS KMS CMK in the encryption operations and they cannot accept more than 4 KB (4096 bytes) of data. To encrypt application data, use the server-side encryption features of an AWS service, or a client-side encryption library, such as the AWS Encryption SDK or the Amazon S3 encryption client.

Scenario

We want to create signup and login forms for a website.

Passwords should be encrypted and stored in DynamoDB database.

What do we need?

  1. KMS key to encrypt and decrypt data
  2. DynamoDB table to store password.
  3. Lambda functions & APIs to process Login and Sign up forms.
  4. Sign up/ Login forms in HTML.

Lets Implement it as Serverless Application Model (SAM)!

Lets first create the Key that we will use to encrypt and decrypt password.

KmsKey:
    Type: AWS::KMS::Key
    Properties: 
      Description: CMK for encrypting and decrypting
      KeyPolicy:
        Version: '2012-10-17'
        Id: key-default-1
        Statement:
        - Sid: Enable IAM User Permissions
          Effect: Allow
          Principal:
            AWS: !Sub arn:aws:iam::${AWS::AccountId}:root
          Action: kms:*
          Resource: '*'
        - Sid: Allow administration of the key
          Effect: Allow
          Principal:
            AWS: !Sub arn:aws:iam::${AWS::AccountId}:user/${KeyAdmin}
          Action:
          - kms:Create*
          - kms:Describe*
          - kms:Enable*
          - kms:List*
          - kms:Put*
          - kms:Update*
          - kms:Revoke*
          - kms:Disable*
          - kms:Get*
          - kms:Delete*
          - kms:ScheduleKeyDeletion
          - kms:CancelKeyDeletion
          Resource: '*'
        - Sid: Allow use of the key
          Effect: Allow
          Principal:
            AWS: !Sub arn:aws:iam::${AWS::AccountId}:user/${KeyUser}
          Action:
          - kms:DescribeKey
          - kms:Encrypt
          - kms:Decrypt
          - kms:ReEncrypt*
          - kms:GenerateDataKey
          - kms:GenerateDataKeyWithoutPlaintext
          Resource: '*'

The important thing in above snippet is the KeyPolicy. KMS requires a Key Administrator and Key User. As a best practice your Key Administrator and Key User should be 2 separate user in your Organisation. We are allowing all permissions to the root users.

So if your key Administrator leaves the organisation, the root user will be able to delete this key. As you can see **KeyAdmin **can manage the key but not use it and KeyUser can only use the key. ${KeyAdmin} and **${KeyUser} **are parameters in the SAM template.

You would be asked to provide values for these parameters during SAM Deploy.

#aws #serverless #aws-sam #aws-key-management-service #aws-certification #aws-api-gateway #tutorial-for-beginners #aws-blogs

Jeromy  Lowe

Jeromy Lowe

1599097440

Data Visualization in R with ggplot2: A Beginner Tutorial

A famous general is thought to have said, “A good sketch is better than a long speech.” That advice may have come from the battlefield, but it’s applicable in lots of other areas — including data science. “Sketching” out our data by visualizing it using ggplot2 in R is more impactful than simply describing the trends we find.

This is why we visualize data. We visualize data because it’s easier to learn from something that we can see rather than read. And thankfully for data analysts and data scientists who use R, there’s a tidyverse package called ggplot2 that makes data visualization a snap!

In this blog post, we’ll learn how to take some data and produce a visualization using R. To work through it, it’s best if you already have an understanding of R programming syntax, but you don’t need to be an expert or have any prior experience working with ggplot2

#data science tutorials #beginner #ggplot2 #r #r tutorial #r tutorials #rstats #tutorial #tutorials

Camron  Shields

Camron Shields

1597954680

Amazon EC2 evolution— How Nitro changed everything and Instance type deep dive

Introduction

For those new to EC2, EC2 offers auto-scalable instances with compute, memory, storage and networking, deployable in multiple Availability zones/Regions while targetable by a load balancer along with management / administration tools such as AWS Systems Manager and AWS License Manager. EC2 instances are available under multiple purchase options such as SpotOn-DemandReserved and Savings Plan. It offers a broad choice of processors such as Intel, AMD and Amazon’s very own ARM-based Graviton processors. EC2 also allows the possibility of using Application Specific Integrated-Circuit (ASICs) and Field Programmable Gate-Array (FPGAs).

For those new to terms like ASIC and FPGA, they provide an alternate way to compute than CPU and GPU. Unlike CPU and GPU, which have a predefined instruction set and general purpose or parallel computing optimized , ASICs are dedicated, custom designed and optimized for one specific function (for e.g. bitcoin mining) whereas FPGAs are, as their name suggests, programmable digital logic cells. The hardware can be reprogrammed / repurposed to different workloads. Neither ASICs nor FPGAs have a predefined instruction set.

A very short history

Amazon launched EC2 with one instance type, m1, in the year 2006. This machine offered 1.7 GHz of CPU, 1.75 GB of RAM, 160 GB of disk and 250 Mbps of network bandwidth. This has evolved to 300+ instance types as of July 2020.

EC2 currently offers instance with upto 4.0GHz of CPU(z1d), 24576 GB / 24 TB of RAM(u-24tb1.metal), 48 TB of disk (d2.8xlarge) and 100 Gbps of Network bandwidth (High-Memory instances). Nitro turbo-charged this evolution in 2017 at which time “only” 42 instance types were available. It allowed new CPU architectures (ARM, AMD), bare metal offerings, 100 Gbps networking, EFA etc. So what exactly is Nitro?

Nitro — in english

Nitro refers to a whole fleet of changes, hardware and software, brought about in order to improve two important aspects of the infrastructure: performance and security. The basic idea is about offloading functions that are generally performed in a hypervisor stack to separate dedicated hardware / software component. Before Nitro — Networking, Storage, Security etc. were part of the hypervisor stack and contributed to about 30% of resource consumption that could not be used by customer instances.

Image for post

With Nitro architecture, these components are moved out of the hypervisor stack, allowing for better resource consumption / performance and more controlled security.

#aws #ec2 #ec2-instance #nitro #aws-ec2