Amazon EC2 Cookbook

Amazon EC2 Cookbook

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.

Amazon EC2 Cookbook

Credits

About the Authors

About the Reviewer

www.PacktPub.com

Preface

Free Chapter

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

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

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

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

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

Using AWS Data Services

Introduction

Using Amazon SimpleDB services from a Java program

Using Amazon DynamoDB

Using Amazon ElastiCache

Using Amazon RDS

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

Deploying AWS Applications

Introduction

Using Docker containers for AWS deployments

Using Chef for AWS deployments

Using Puppet for AWS deployments

Index

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Introduction

Amazon CloudWatch is AWS's monitoring service. It can be used to monitor your applications and AWS resources. AWS CloudWatch works with all key AWS services including EC2, RDS, DynamoDB, Elastic MapReduce, Kinesis, CloudSearch, and so on. CloudWatch provides several out-of-the-box metrics such as CPU utilization, network utilization, and disk I/O metrics from EC2 instances. However, you can also collect custom metrics from your applications.

AWS Management Console can be used to view, search, and graph the metrics data loaded by Amazon CloudWatch. CloudWatch stores data as a series of time stamped data points.

One of most common use cases for CloudWatch is to use it to set alarms and take actions, based on the metrics. For example, you can stop, terminate, recover, or reboot an EC2 instance in response to a CloudWatch alarm being raised. CloudWatch Logs lets you collect your application, system, and custom log files into AWS CloudWatch Logs for analysis.

AWS CloudWatch dashboard...

Amazon EC2 Cookbook

Amazon EC2 Cookbook

Overview of this book

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Amazon EC2 Cookbook

Introduction