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Amazon EC2 Cookbook

By : Sekhar Reddy

Amazon EC2 Cookbook

By: Sekhar Reddy

Overview of this book

Discover how to perform a complete forensic investigation of large-scale Hadoop clusters using the same tools and techniques employed by forensic experts. This book begins by taking you through the process of forensic investigation and the pitfalls to avoid. It will walk you through Hadoop’s internals and architecture, and you will discover what types of information Hadoop stores and how to access that data. You will learn to identify Big Data evidence using techniques to survey a live system and interview witnesses. After setting up your own Hadoop system, you will collect evidence using techniques such as forensic imaging and application-based extractions. You will analyze Hadoop evidence using advanced tools and techniques to uncover events and statistical information. Finally, data visualization and evidence presentation techniques are covered to help you properly communicate your findings to any audience.

Preface

Preface

What this book covers

What you need for this book

Who this book is for

Sections

Conventions

Reader feedback

Customer support

Free Chapter

1. Selecting and Configuring Amazon EC2 Instances

1. Selecting and Configuring Amazon EC2 Instances

Introduction

Choosing the right AWS EC2 instance types

Preparing AWS CLI tools

Launching EC2 instances using EC2-Classic and EC2-VPC

Allocating Elastic IP addresses

Creating an instance with multiple NIC cards and a static private IP address

Selecting the right storage for your EC2 instance

Creating tags for consistency

Configuring security groups

Creating an EC2 key pair

Grouping EC2 instances using placement groups

Configuring Elastic Load Balancing

Architecting for high availability

Creating instances for AWS Marketplace

2. Configuring and Securing a Virtual Private Cloud

2. Configuring and Securing a Virtual Private Cloud

Introduction

Creating and configuring VPC

Configuring VPC DHCP options

Configuring networking connections between two VPCs (VPC peering)

Connecting on-premise network to VPC using VPN

3. Managing AWS Resources Using AWS CloudFormation

3. Managing AWS Resources Using AWS CloudFormation

Introduction

Creating CloudFormation templates

Creating CloudFormation templates from existing AWS resources

Deploying applications on EC2 instances

Updating a stack

4. Securing Access to Amazon EC2 Instances

4. Securing Access to Amazon EC2 Instances

Introduction

Creating IAM users

Creating IAM groups and assigning group-level permissions

Creating IAM roles

Connecting on-premise AD to AWS IAM

Configuring AWS multifactor authentication

5. Monitoring Amazon EC2 Instances

5. Monitoring Amazon EC2 Instances

Introduction

Collecting EC2 metrics using AWS CloudWatch

Collecting custom metrics from EC2 instances

Monitoring costs using CloudWatch

Sending an e-mail based on a CloudWatch alarm

Using CloudWatch Logs

6. Using AWS Data Services

6. Using AWS Data Services

Introduction

Using Amazon SimpleDB services from a Java program

Using Amazon DynamoDB

Using Amazon ElastiCache

Using Amazon RDS

7. Accessing Other AWS Services

7. Accessing Other AWS Services

Introduction

Configuring Route 53

Accessing AWS S3 from applications

Accessing AWS SES from applications

Accessing AWS SNS from applications

Accessing AWS SQS from applications

8. Deploying AWS Applications

8. Deploying AWS Applications

Introduction

Using Docker containers for AWS deployments

Using Chef for AWS deployments

Using Puppet for AWS deployments

Index

Index

Customer Reviews

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Updating a stack

When you update a stack using AWS CloudFormation, it compares the current version of the template with the previous one and then updates the AWS resources accordingly. You can specify stack policies to avoid accidental updates to your AWS resources. You can also use a single stack policy to specify the restrictions for multiple resources. However, you can only apply one stack policy for the stack at any given time. Stack policies are specified in the JSON format. If you don't specify a stack policy for your stack then, by default, you will be able to update any of the resources. Also, if a stack policy is specified, then, by default, it will restrict all updates unless you explicitly specify Allow statements for your resources.

How to do it…

Follow these steps to update your stack:

Create a stack policy as a JSON file (name it webserverautoscalingpolicy.json) with the following content:
```
{
"Statement" : [
{
"Effect" : "Deny",
"Action...
```

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