Skip to main content

Book: High performance in-memory computing with Apache Ignite has been published

The book "High performance in-memory computing with apache Ignite" has been released and
available at http://leanpub.com/ignite

Print copy of the book is available at Lulu.com & Amazon bookstore.

Support independent publishing: Buy this book on Lulu.
UP1: NOW the book is available for purchase from the Russian federation through PayPal (Ignore the yellow warning).


The goal of the book is to provide a guide for those who really need to implement the In-memory platform in their projects. At the same time, the idea behind the book is not writing a manual.

This book wraps all the topics like in-memory data grid, highly available service grid, streaming and in-memory computing use cases from high-performance computing to get the performance gain. The book will be particularly useful for those, who have the following use cases:

  • You have database bottleneck in your application and want to solve the problem.
  • You have a high volume of ACID transactions in your system.
  • You want to develop and deploy microservices in distributed fashion.
  • You have existing Hadoop ecosystem (OLAP) and want to improve the performance of the Map/Reduce jobs without making any changes in your existing Map/Reduce jobs.
  • You want to share Spark RDD directly in-memory (without storing the state to disk), which can dramatically increase the performance of the Spark jobs.
  • You are planning to migrate to microservices and the web session clustering is the problem for you.
  • You are planning to process continuous never-ending streams and complex events of data in scalable and fault-tolerant fashion.
  • You want to use distributed computations in parallel fashion to gain high performance, low latency, and linear scalability.
  • You heard about Off-heap memory but don't know how to use it in your application.
For every topic, a complete application is delivered, which will help the audience to quick start with the topic. The book is a project-based guide, where each chapter focuses on the complete implementation of a real-world scenario, the commonly occurring challenges in each scenario has also discussed, along with tips and tricks and best practices on how to overcome them. Every chapter is independent and a complete project.

Who is this book for

Target audience of this book will be IT architect, team leaders, a programmer with minimum programming knowledge, who want to get the maximum performance from their applications.

No excessive knowledge is required, though it would be good to be familiar with JAVA and Spring framework. The book is also useful for any reader, who already familiar with Oracle Coherence, Hazelcast, Infinispan or memcached.

See the full table of contents of the book here.

Happy Reading.
Labels:

Comments

Post a Comment

Popular posts from this blog

Tip: SQL client for Apache Ignite cache

A new SQL client configuration described in  The Apache Ignite book . If it got you interested, check out the rest of the book for more helpful information. Apache Ignite provides SQL queries execution on the caches, SQL syntax is an ANSI-99 compliant. Therefore, you can execute SQL queries against any caches from any SQL client which supports JDBC thin client. This section is for those, who feels comfortable with SQL rather than execute a bunch of code to retrieve data from the cache. Apache Ignite out of the box shipped with JDBC driver that allows you to connect to Ignite caches and retrieve distributed data from the cache using standard SQL queries. Rest of the section of this chapter will describe how to connect SQL IDE (Integrated Development Environment) to Ignite cache and executes some SQL queries to play with the data. SQL IDE or SQL editor can simplify the development process and allow you to get productive much quicker. Most database vendors have their own fron...
Post a Comment
Read more

8 things every developer should know about the Apache Ignite caching

Any technology, no matter how advanced it is, will not be able to solve your problems if you implement it improperly. Caching, precisely when it comes to the use of a distributed caching, can only accelerate your application with the proper use and configurations of it. From this point of view, Apache Ignite is no different, and there are a few steps to consider before using it in the production environment. In this article, we describe various technics that can help you to plan and adequately use of Apache Ignite as cutting-edge caching technology. Do proper capacity planning before using Ignite cluster. Do paperwork for understanding the size of the cache, number of CPUs or how many JVMs will be required. Let’s assume that you are using Hibernate as an ORM in 10 application servers and wish to use Ignite as an L2 cache. Calculate the total memory usages and the number of Ignite nodes you have to need for maintaining your SLA. An incorrect number of the Ignite nodes can become a b...
Post a Comment
Read more

Load balancing and fail over with scheduler

Every programmer at least develop one Scheduler or Job in their life time of programming. Nowadays writing or developing scheduler to get you job done is very simple, but when you are thinking about high availability or load balancing your scheduler or job it getting some tricky. Even more when you have a few instance of your scheduler but only one can be run at a time also need some tricks to done. A long time ago i used some data base table lock to achieved such a functionality as leader election. Around 2010 when Zookeeper comes into play, i always preferred to use Zookeeper to bring high availability and scalability. For using Zookeeper you have to need Zookeeper cluster with minimum 3 nodes and maintain the cluster. Our new customer denied to use such a open source product in their environment and i was definitely need to find something alternative. Definitely Quartz was the next choose. Quartz makes developing scheduler easy and simple. Quartz clustering feature brings the HA and...
Post a Comment
Read more