Scaling Google Cloud Platform: Run Workloads Across Compute, Serverless PaaS, Database, Distributed Computing, and SRE

[LeeAndro]

English | 2022 | ISBN: ‎ 9355512848 | 491 pages | True EPUB | 7.38 MB

Managing Real-world Production-grade Challenges at Scale

Key Features
Built for GCP professionals and Cloud enthusiasts with cloud-agnostic tactics.​

Exhaustive coverage of automatic, manual, and predictive scaling and specialized strats.
Every concept is pragmatized with real- production scenarios derived from prominent technologists.

Description
'Scaling Google Cloud Platform' equips developers with the know-how to get the most out of its services in storage, serverless computing, networking, infrastructure monitoring, and other IT tasks. This book explains the fundamentals of cloud scaling, including Cloud Elasticity, creating cloud workloads, and selecting the appropriate cloud scaling key performance indicators (KPIs).

The book explains the sections of GCP resources that can be scaled, as well as their architecture and internals, and best practices for using these components in an operational setting in detail. The book also discusses scaling techniques such as predictive scaling, auto-scaling, and manual scaling. This book includes real-world examples illustrating how to scale many Google Cloud services, including the compute ee, GKE, VMWare Ee, Cloud Function, Cloud Run, App Ee, BigTable, Spanner, Composer, Dataproc, and Dataflow.

At the end of the book, the author delves into the two most common architectures-Microservices and Bigdata to examine how you can perform reliability eeering for them on GCP.

What you will learn
Learn workload migration strategy and execution, both within and between clouds.
Explore methods of increasing Google Cloud capacity for running VMware Ee and containerized applications.
Scaling up and down methods include manual, predictive, and automatic approaches.
Increase the capacity of your Dataproc cluster to handle your big data computing needs.
Learn Google Dataflow's scalability considerations for large-scale installations.
Explore Google Composer 2 and scale up your Cloud Spanner instances.
Learn to set up Cloud functions and Cloud run.
Discuss general SRE procedures on microservices and big data.

Who this book is for
This book is designed for Cloud professionals, software developers, architects, DevOps team, and eeering managers to explain scaling strats for GCP services and assumes readers know GCP basics.

Table of Contents
1. Basics of Scaling Cloud Resources
2. KPI for Cloud Scalability
3. Cloud Elasticity
4. Challenges of Infrastructure Complexity and the Way Forward
5. Scaling Compute Ee
6. Scaling Kubernetes Ee
7. Scaling VMware Ee
8. Scaling App Ee
9. Scaling Google Cloud Function and Cloud Run
10. Configuring Bigtable for Scale
11. Configuring Cloud Spanner for Scale
12. Scaling Google Composer 2
13. Scaling Google Dataproc
14. Scaling Google Dataflow
15. Site Reliability Eeering
16. SRE Use Cases



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