Programming Google App Engine: Build and Run Scalable Web Apps on Google’s Infrastructure (Animal Guide)
As one of today's cloud computing services, Google App Engine does more than provide access to a large system of servers. It also offers you a simple model for building applications that scale automatically to accommodate millions of users. With Programming Google App Engine, you'll get expert practical guidance that will help you make the best use of this powerful platform. Google engineer Dan Sanderson shows you how to design your applications for scalability, including ways to perform common development tasks using App Engine's APIs and scalable services.
You'll learn about App Engine's application server architecture, runtime environments, and scalable datastore for distributing data, as well as techniques for optimizing your application. App Engine offers nearly unlimited computing power, and this book provides clear and concise instructions for getting the most from it right from the source.
- Discover the differences between traditional web development and development with App Engine
- Learn the details of App Engine's Python and Java runtime environments
- Understand how App Engine handles web requests and executes application code
- Learn how to use App Engine's scalable datastore, including queries and indexes, transactions, and data modeling
- Use task queues to parallelize and distribute work across the infrastructure
- Deploy and manage applications with ease
This book is a practical real-world tutorial covering everything you need to know about Amazon SimpleDB. You will come across examples in three languages: Java, PHP, and Python. This book is aimed at transforming you from a beginner to an advanced developer. If you are a developer wanting to build scalable web-based database applications using SimpleDB, then this book is for you. You do not need to know anything about SimpleDB to read and learn from this book, and no basic knowledge is strictly necessary. This guide will help you to start from scratch and build advanced applications.More info →
Whether it's in Java, .NET, or Ruby on Rails, getting your application ready to ship is only half the battle. Did you design your system to survivef a sudden rush of visitors from Digg or Slashdot? Or an influx of real world customers from 100 different countries? Are you ready for a world filled with flakey networks, tangled databases, and impatient users?
If you're a developer and don't want to be on call for 3AM for the rest of your life, this book will help.
In Release It!, Michael T. Nygard shows you how to design and architect your application for the harsh realities it will face. You'll learn how to design your application for maximum uptime, performance, and return on investment.
Mike explains that many problems with systems today start with the design.More info →
Along with MySQL's popularity has come a flood of questions about solving specific problems, and that's where this Cookbook is essential. Designed as a handy resource when you need quick solutions or techniques, the book offers dozens of short, focused pieces of code and hundreds of worked-out examples for programmers of all levels who don't have the time (or expertise) to solve MySQL problems from scratch.
The new edition covers MySQL 5.0 and its powerful new features, as well as the older but still widespread MySQL 4.1. One major emphasis of this book is how to use SQL to formulate queries for particular kinds of questions, using the mysql client program included in MySQL distributions. The other major emphasis is how to write programs that interact with the MySQL server through an API. You'll find plenty of examples using several language APIs in multiple scenarios and situations, including the use of Ruby to retrieve and format data. There are also many new examples for using Perl, PHP, Python, and Java as well.
Other recipes in the book teach you to:
- Access data from multiple tables at the same time
- Use SQL to select, sort, and summarize rows
- Find matches or mismatches between rows in two tables
- Determine intervals between dates or times, including age calculations
- Store images into MySQL and retrieve them for display in web pages
- Get LOAD DATA to read your data files properly or find which values in the file are invalid
- Use strict mode to prevent entry of bad data into your database
- Copy a table or a database to another server
- Generate sequence numbers to use as unique row identifiers
- Create database events that execute according to a schedule
- And a lot more
Hadoop in Action teaches readers how to use Hadoop and write MapReduce programs. The intended readers are programmers, architects, and project managers who have to process large amounts of data offline. Hadoop in Action will lead the reader from obtaining a copy of Hadoop to setting it up in a cluster and writing data analytic programs.
The book begins by making the basic idea of Hadoop and MapReduce easier to grasp by applying the default Hadoop installation to a few easy-to-follow tasks, such as analyzing changes in word frequency across a body of documents. The book continues through the basic concepts of MapReduce applications developed using Hadoop, including a close look at framework components, use of Hadoop for a variety of data analysis tasks, and numerous examples of Hadoop in action.
Hadoop in Action will explain how to use Hadoop and present design patterns and practices of programming MapReduce. MapReduce is a complex idea both conceptually and in its implementation, and Hadoop users are challenged to learn all the knobs and levers for running Hadoop. This book takes you beyond the mechanics of running Hadoop, teaching you to write meaningful programs in a MapReduce framework.
This book assumes the reader will have a basic familiarity with Java, as most code examples will be written in Java. Familiarity with basic statistical concepts (e.g. histogram, correlation) will help the reader appreciate the more advanced data processing examples.
This book covers machine learning using Apache Mahout. Based on experience with real-world applications, it introduces practical use cases and illustrates how Mahout can be applied to solve them. It places particular focus on issues of scalability and how to apply these techniques against large data sets using the Apache Hadoop framework.
This book is written for developers familiar with Java -- no prior experience with Mahout is assumed.
More info →
Owners of a Manning pBook purchased anywhere in the world can download a free eBook from manning.com at any time. They can do so multiple times and in any or all formats available (PDF, ePub or Kindle). To do so, customers must register their printed copy on Manning's site by creating a user account and then following instructions printed on the pBook registration insert at the front of the book.