Book picks similar to
Outsource It! by Nick Krym
management
project
pdf
business
Scrum Guide
Ken Schwaber - 2010
The Scrum Guide documents the Scrum framework and is maintained by Scrum’s creators, Ken Schwaber and Jeff Sutherland.
Behind the Cloud: The Untold Story of How Salesforce.com Went from Idea to Billion-Dollar Company-And Revolutionized an Industry
Marc Benioff - 2009
Showing how salesforce.com not only survived the dotcom implosion of 2001, but went on to define itself as the leader of the cloud computing revolution and spark a $46-billion dollar industry, Benioff's story will help business leaders and entrepreneurs stand out, innovate better, and grow faster in any economic climate. In Behind the Cloud, Benioff shares the strategies that have inspired employees, turned customers into evangelists, leveraged an ecosystem of partners, and allowed innovation to flourish.
Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale
Neha Narkhede - 2017
And how to move all of this data becomes nearly as important as the data itself. If you� re an application architect, developer, or production engineer new to Apache Kafka, this practical guide shows you how to use this open source streaming platform to handle real-time data feeds.Engineers from Confluent and LinkedIn who are responsible for developing Kafka explain how to deploy production Kafka clusters, write reliable event-driven microservices, and build scalable stream-processing applications with this platform. Through detailed examples, you� ll learn Kafka� s design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the controller, and the storage layer.Understand publish-subscribe messaging and how it fits in the big data ecosystem.Explore Kafka producers and consumers for writing and reading messagesUnderstand Kafka patterns and use-case requirements to ensure reliable data deliveryGet best practices for building data pipelines and applications with KafkaManage Kafka in production, and learn to perform monitoring, tuning, and maintenance tasksLearn the most critical metrics among Kafka� s operational measurementsExplore how Kafka� s stream delivery capabilities make it a perfect source for stream processing systems