The Definitive Guide to Modernizing Applications on Google Cloud: The what, why, and how of application modernization on Google Cloud

488 Pages·2022·9.23 MB·english

by  Steve (Satish) Sangapu

The Definitive Guide
to Modernizing
Applications on
Google Cloud

The what, why, and how of application
modernization on Google Cloud

Steve (Satish) Sangapu
Dheeraj Panyam
Jason Marston

BIRMINGHAM—MUMBAI
The Definitive Guide to Modernizing
Applications on Google Cloud
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To the memory of my father, Ishwar, and my mother, Savithri, for their
sacrifices and exemplifying that hard work has positive outcomes. To my
wife, Sanju, for being my loving and supportive partner, and to my children,
Riya and Risha, for keeping us on our toes.
– Steve (Satish) Sangapu
To my parents, who have encouraged me in writing this book, with their
push for tenacity ringing in my ears.
– Dheeraj Panyam
Contributors
About the authors
Steve (Satish) Sangapu has been working with software since 2000. He specializes in
migrating and modernizing applications from monoliths to containerized microservices
as well as creating data engineering pipelines to mine vast amounts of structured and
unstructured data.
He has extensive experience successfully leading large, cross-functional, geographically
dispersed teams utilizing modern Agile development methodologies while collaborating
effectively with product teams in creating high-performance, fault-tolerant, and high-
availability systems.
He also holds seven patents from the United States Patent and Trademark Office and
certifications from Carnegie Mellon Software Engineering Institute and Google Cloud.
I want to thank the people who have given me and the people around me
love and support in different ways in my life.
Dheeraj Panyam has been working in the IT industry since 2000. His experience spans
diverse domains (optical, telecom, retail, and healthcare) and covers all phases of the
SDLC, including application development, production support, QA automation, and
cloud architecture. He lives in India and collaborates with a Google Cloud consulting
company, helping them design solutions and architecture set up on public cloud
platforms.
He holds multiple Google Cloud certifications in addition to other certifications in
networking and testing.(in new line)
Jason Marston is a Cloud Solution Architect based in England. He was recruited by
Microsoft because of his OSS background. Jason has worked with Java since version 1 and
has a long history with open source. He has over 30 years' of experience in developing
software and now helps organizations migrate and modernize legacy applications to
the cloud. Jason was an SME in the Worldwide Communities project at Microsoft and,
as a part of the leadership team for those communities, helped many people solve their
problems by adopting Java on Azure. In his spare time, Jason reads science fiction books
and has two children who think he is a geek/nerd.
About the reviewer
Radhakrishnan (Krishna) Gopal is a cloud evangelist, seasoned technology professional,
and mentor with over 22 years of industry experience in all major cloud hyperscalers,
including AWS, Azure, and Google Cloud. He is currently helping organizations to drive
business value through cloud adoption and innovation. He has worked in many facets
of IT throughout his career and delivered high-quality, mission-critical, and innovative
technology solutions leveraging multi-cloud, data, AI, and intelligent automation. He
is a Google Cloud Certified Professional Cloud Architect, Google data engineer, Azure
certified solutions architect expert, Azure data engineer, data science associate, AI
engineer, and AWS Certified Solutions Architect Associate. He loves to explore new
frontiers of technology and impart them in solutions to make his clients very successful.
Table of Contents
Preface
Section 1: Cloud-Native Application
Development and App Modernization in
Google Cloud
1
Cloud-Native Application Fundamentals
The cloud-native ecosystem 4 Applying the 12-factor app
Benefits of cloud-native principles on Google Cloud 16
applications 5 Code base 16
Increased speed of delivery 5 Dependencies 17
Increased scalability 6 Config 17
Increased resiliency 7 Backing services 17
Mixed technology stack and workforce 7 Build, release, run 18
Continuous integration and delivery 8 Processes 18
Increased automation 9 Port binding 18
Concurrency 19
Principles of cloud-native
Disposability 19
architecture 11
Dev/prod parity 19
Principle 1 – lightweight microservices 11 Logs 20
Principle 2 – leveraging automation 12 Admin processes 20
Principle 3 – DevOps culture 12
Summary 20
Principle 4 – better to go managed 13
Principle 5 – innovate 13
Limitations of microservices 13
viii Table of Contents
2
End-to-End Extensible Tooling for Cloud-Native Application
Development
Moving past third-party Google Cloud Run 29
services – the beauty of end-to-
Features and benefits of Cloud Run 29
end tooling 22
The role of Google Cloud Run in the
Google Cloud Code 24 cloud-native app development pipeline 30
Features and benefits of Cloud Code 24
Google Kubernetes Engine 30
The role of Cloud Code in the cloud-
Features and benefits of GKE 30
native app development pipeline 25
The role of GKE in the cloud-native app
Google Cloud Build 26 development pipeline 31
Features and benefits of Cloud Build 26
Operations suite 31
The role of Cloud Build in the cloud-
Features of Google Cloud Monitoring 32
native app development pipeline 27
Features of Google Cloud Logging 32
Google Container Registry 27 The role of the Cloud operations suite
Features and benefits of GCR 27 in the cloud-native app development
pipeline 33
The next-gen container registry –
Artifact Registry 28
Summary 34
The role of GCR in the cloud-native app
development pipeline 28
3
Cloud-Native Architecture Patterns and System Architecture
Tenets
Cloud-native patterns 36 Cloud-native design patterns 40
The scope of cloud-native patterns 37 Microservices 41
Strangler applications 42
Solving challenges with cloud-
Decomposition patterns 43
native patterns 37
Event-driven patterns 44
Be proactive, not reactive 38
Command Query Responsibility
Scaling and performance 38 Segregation 45
Deployments 39 The saga pattern 45
Resiliency and availability 39 Multiple service instances 46
Monitoring 40 Canary deployments 46
Security 40 Stateless services 46
Table of Contents ix
Immutable infrastructure 47 judiciously 49
Anti-corruption layer 47
Hybrid and multi-cloud
API composition 47
architecture recommendations 49
Event sourcing 47
Distributed deployment patterns 49
The Retry pattern 48
Redundant deployment patterns 52
Circuit breaker pattern 48
The bulkhead pattern 48 Summary 55
Using the cloud-native pattern
Section 2: Selecting the Right Google
Cloud Services
4
Choosing the Right Compute Option
Five compute options… and Pricing 70
Firebase 60
How important is it to choose
Firebase 60
the right option? 71
Cloud Functions 61
Changing compute options 72
GAE 61
Making a decision 72
Cloud Run 63
GKE 65 Summary 74
GCE 67
5
Choosing the Right Database and Storage
Storage and database options Additional storage and
on Google Cloud – the big three 76 database options 90
GCS – basics 76 BigQuery 91
GCS 78 Filestore 91
Cloud SQL 80 Persistent disks/local solid-state drive
Cloud Firestore (previously Datastore) 83 (SSD) (block storage) 91
Cloud Spanner 85 MemoryStore 92
Cloud Bigtable 88
Security and flexibility 92
Wrapping up the big five 90
Summary 92