Cloud and Serverless Computing for Scientists: A Primer

Foreword
Preface
Acknowledgements
Contents
Acronyms
1 Why This Book?
	References
2 Why the Cloud?
	2.1 Introduction
	2.2 Requirements and Needs
		2.2.1 Sasha in Their House or with a Self-employed Business
		2.2.2 Sasha as Entrepreneur
		2.2.3 Sasha in Their Laboratory
		2.2.4 Sasha Has an Idea
		2.2.5 Sasha Needs Mobility
	2.3 Everyone Is Sasha
	References
3 From the Beginning to the Future
	3.1 What Is Cloud Computing?
	3.2 Types of Cloud
		3.2.1 Commercial and Non-commercial
			3.2.1.1 Commercial Cloud
			3.2.1.2 Non-commercial Cloud
		3.2.2 Cloud Models
		3.2.3 Types of Service
	3.3 Features of the Cloud
		3.3.1 Elasticity and Scalability
		3.3.2 Self-service Provisioning
		3.3.3 Application Programming Interfaces
		3.3.4 Performance Monitoring and Measuring
	3.4 Cloud Native Concepts
		3.4.1 Cloud Native
		3.4.2 Containers
		3.4.3 Microservices
		3.4.4 Kubernetes
	3.5 Environmental Issues
	3.6 Success Stories of Cloud and Serverless Computing in Science
		3.6.1 Archeology
		3.6.2 Computer Sciences
		3.6.3 Energy
		3.6.4 Geosciences
		3.6.5 Library Science
		3.6.6 Mathematics
		3.6.7 Medical Sciences
		3.6.8 Physics
		3.6.9 Social Sciences
		3.6.10 Space Research
	References
4 Show Me the Money
	4.1 Money for Research Using Cloud Computing
	4.2 Sharing Costs
	4.3 Selling Research
	4.4 What Happens If I Do Not Pay?
	4.5 What Happens If My Provider Does Not Deliver
	4.6 Assessing Migration
		4.6.1 Selecting a Cloud Computing Provider
		4.6.2 Problem Definition
		4.6.3 Gather Requirements
		4.6.4 Obtain the Data
		4.6.5 Review and Decide
	4.7 Conclusions
	References
5 Tools in the Cloud
	5.1 Sasha Wants Better Tooling for Their Organization
	5.2 General Productivity
		5.2.1 Office
		5.2.2 Communication
	5.3 Scientific and Engineering
		5.3.1 Document and Paper Edition and Sharing (LaTeX)
		5.3.2 Project and Issue Management
		5.3.3 Version Control
		5.3.4 Other Relevant SaaS
			5.3.4.1 Integrated Development Environment
			5.3.4.2 Diagram Design
	5.4 Sasha Decision
	References
6 Experiments in the Cloud
	6.1 Sasha Is Ready to Start a New Experiment
	6.2 Running Code on the Cloud
		6.2.1 Understanding Software Development on the Cloud
		6.2.2 Application Programming Interfaces (APIs)
			6.2.2.1 What Is an API?
		6.2.3 Cloud Environment and Runtimes
			6.2.3.1 Why Are APIs so Important in the Cloud?
			6.2.3.2 Example: Using a Cloud API
		6.2.4 Code in the Cloud: Considerations
			6.2.4.1 General Aspects
			6.2.4.2 Network
			6.2.4.3 Storage
	6.3 Starting an Experiment in the Cloud
		6.3.1 Example: Month Classifying Experiment
	References
7 Serverless Experiments in the Cloud
	7.1 Sasha Revisits the Experiment
	7.2 Thinking Serverless
		7.2.1 Pros and Cons
	7.3 Example: Month Classifier, Serverless Version
	7.4 Example: Serverless Sensor Data Collector
	References
8 Ethical and Legal Considerations of Cloud Computing
	References
9 You Are Outdated, We Are Already Updating This Book
Glossary
Index