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  • Book Overview & Buying Amazon EC2 Cookbook
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Amazon EC2 Cookbook

Amazon EC2 Cookbook

By : Sekhar Reddy
Buy this Book
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Amazon EC2 Cookbook

Amazon EC2 Cookbook

By: Sekhar Reddy
Buy this Book

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.
Table of Contents (10 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Sections
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Conventions
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Reader feedback
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Customer support
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1
1. Selecting and Configuring Amazon EC2 Instances
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1. Selecting and Configuring Amazon EC2 Instances
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Introduction
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Choosing the right AWS EC2 instance types
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Preparing AWS CLI tools
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Launching EC2 instances using EC2-Classic and EC2-VPC
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Allocating Elastic IP addresses
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Creating an instance with multiple NIC cards and a static private IP address
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Selecting the right storage for your EC2 instance
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Creating tags for consistency
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Configuring security groups
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Creating an EC2 key pair
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Grouping EC2 instances using placement groups
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Configuring Elastic Load Balancing
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Architecting for high availability
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Creating instances for AWS Marketplace
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2. Configuring and Securing a Virtual Private Cloud
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2. Configuring and Securing a Virtual Private Cloud
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Introduction
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Creating and configuring VPC
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Configuring VPC DHCP options
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Configuring networking connections between two VPCs (VPC peering)
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Connecting on-premise network to VPC using VPN
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3. Managing AWS Resources Using AWS CloudFormation
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3. Managing AWS Resources Using AWS CloudFormation
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Introduction
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Creating CloudFormation templates
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Creating CloudFormation templates from existing AWS resources
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Deploying applications on EC2 instances
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Updating a stack
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4. Securing Access to Amazon EC2 Instances
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4. Securing Access to Amazon EC2 Instances
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Introduction
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Creating IAM users
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Creating IAM groups and assigning group-level permissions
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Creating IAM roles
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Connecting on-premise AD to AWS IAM
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Configuring AWS multifactor authentication
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5. Monitoring Amazon EC2 Instances
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5. Monitoring Amazon EC2 Instances
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Introduction
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Collecting EC2 metrics using AWS CloudWatch
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Collecting custom metrics from EC2 instances
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Monitoring costs using CloudWatch
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Sending an e-mail based on a CloudWatch alarm
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Using CloudWatch Logs
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6. Using AWS Data Services
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6. Using AWS Data Services
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Introduction
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Using Amazon SimpleDB services from a Java program
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Using Amazon DynamoDB
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Using Amazon ElastiCache
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Using Amazon RDS
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7. Accessing Other AWS Services
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7. Accessing Other AWS Services
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Introduction
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Configuring Route 53
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Accessing AWS S3 from applications
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Accessing AWS SES from applications
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Accessing AWS SNS from applications
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Accessing AWS SQS from applications
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8. Deploying AWS Applications
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8. Deploying AWS Applications
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Introduction
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Using Docker containers for AWS deployments
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Using Chef for AWS deployments
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Using Puppet for AWS deployments
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Index
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Index

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...

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Amazon EC2 Cookbook
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