Darmowe ebooki od O’Reilly

Znana amerykańska kompania mediowa O’Reilly, wydająca książki i internetowe serwisy oraz organizująca konferencje związane z komputerami udostępniła całkiem interesujący zestaw darmowych ebooków dotyczących programowania, web developmentu, wydajnościbezpieczeństwa i hardware / IoT, czy big data i AI. Do pobrania wystarczy podać adres e-mail.

Software Engineering

Java

Microservices for Java Developers Modern Java EE Design Patterns Object-Oriented vs. Functional Programming Java: The Legend

Open Source

Open Source in Brazil Ten Steps to Linux Survival Open by Design Getting Started with InnerSource

Software Architecture

Microservices in Production Developing Reactive Microservices Microservices AntiPatterns and Pitfalls Microservices vs. Service-Oriented ArchitectureEvolving Architectures of FinTech Software Architecture Patterns Migrating to Cloud-Native Application Architectures Reactive Microservices Architecture

Web Development

Security

Cracking Security Misconceptions: Untangling Common Myths About Modern Information Security Patrolling the Dark Net: What You Don't Know Will Hurt You DevOpsSec: Securing Software through Continuous Delivery Not All Data Is Created EqualWho Are the Bad Guys and What Do They Want? Docker Security The Security Data Lake

Hardware and IoT

Framing the IoT and the New Hardware Movement

Ambient Computing Governing the IoT Opportunities and Challenges in the IoT When Worlds CollideBuilding a Hardware Business When Hardware Meets Software What Is the Internet of Things? Software Above the Level of a Single Device: The ImplicationsSoftware & Hardware Collide Hardware by the Numbers: Startups

Design & UX

Innovation Pitching Your IoT Project: How to Get Executive Buy-In User Experience Design for the Internet of Things The Internet as MaterialDesigning for the Internet of Things

Industrial IoT/Manufacturing

Ambient Computing Smart Energy Smart Cities, Smarter Citizens Evaluating and Choosing an IoT PlatformEvolving Infrastructures of the Industrial IoT Life: Sustainable, Programmable, Bottom-Up Manufacturing 3D Printing Primer Predictive MaintenanceIndustrial Internet

 

Web Performance & DevOps

Performance

Effective Performance Engineering Optimizing Cloud Migration Web Performance Warrior Web Page Size, Speed, and PerformanceHTTP/2: A New Excerpt from High Performance Browser Networking Compliance at Speed

Operations

Unikernels: Beyond Containers to the Next Generation of Cloud Mobile App Analytics Monitoring Distributed Systems: Case Studies from Google's SRE Teams Release Engineering: How Google Builds and Delivers SoftwareBeyond the Twelve-Factor App Docker in the Cloud Network Automation with Ansible Are Your Networks Ready for the IoT?Docker Networking and Service Discovery Immutable Infrastructure Continuous Delivery with Windows and .NET Docker SecurityKubernetes: Scheduling the Future at Cloud Scale Modern Web Operations Field Guide to the Distributed Development Stack 5 Unsung Tools of DevOpsLightweight Systems for Realtime Monitoring Anomaly Detection for Monitoring: A Statistical Approach to Time Series Anomaly Detection Are Your Networks Ready for the IoT? Network Automation with Ansible

Culture & DevOps

DevOpsSec: Securing Software through Continuous Delivery DevOps for FinanceBuilding an Optimized Business Everything Is DistributedDevOps in Practice The Human Side of Postmortems Learning from First Responders: When Your Systems Have to Work DevOps HiringAntifragile Systems and Teams

Data

Data Science

2016 Data Science Salary Survey Embedding Analytics in Modern Applications Data Science in the Cloud with Microsoft Azure Machine Learning and PythonSelf-Service Analytics Going Pro in Data Science Evaluating Machine Learning Models What is Data Science?

AI Ebooks

What Are Conversational Bots? The New Artificial Intelligence Market AI and MedicineWhat is Artificial Intelligence? The Future of Machine Intelligence Data, Technology, and the Future of Play

Business & Industry

Data and Democracy: How Political Data Science Is Shaping the 2016 Elections Advancing Procurement Analytics The Big Data MarketAnalyzing Data in the Internet of Things The Business of Genomic Data Getting Analytics Right Data Science, Banking, and Fintech

Big Data Architecture

Architecting for Access Hadoop and Spark Performance for the Enterprise In Search of Database Nirvana Making Sense of Stream ProcessingArchitecting Data Lakes Hadoop: What You Need to Know Fast Data: Smart and at Scale Migrating Big Data Analytics into the Cloud

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