Google Cloud Platform for Architects : Design and Manage Powerful Cloud Solutions.

Cover -- Title Page -- Copyright and Credits -- Packt Upsell -- Contributors -- Table of Contents -- Preface -- Chapter 1: The Case for Cloud Computing -- Genesis -- Why Google Cloud Platform (GCP)? -- Autoscaling and autohealing -- Capital expenditure (CAPEX) versus operating expenses (OPEX) -- Career implications -- Summary -- Chapter 2: Introduction to Google Cloud Platform -- Global, regional, and zonal resources -- Accessing the Google Cloud Platform -- Projects and billing -- Setting up a GCP account -- Using the Cloud Shell -- Summary -- Chapter 3: Compute Choices - VMs and the Google Compute Engine -- Google Compute Engine - GCE -- Creating VMs -- Creating a VM instance using the web console -- Creating a VM instance using the command line -- VM customization options -- Operating system -- Compute zone -- Machine type -- Networks - aka VPCs -- Storage options -- Persistent disks and local SSDs - block storage for GCE -- Understanding persistent disks and local SSDs -- Creating and attaching a persistent disk -- Linux procedure for formatting and mounting a persistent disk -- Sharing a persistent disk between multiple instances -- Resizing a persistent disk -- More on working with GCE VMs -- Rightsizing recommendations -- Availability policies -- Auto-restart -- Preemptibillity -- Load balancing -- Autoscaling and managed instance groups -- Billing -- Labels and tags -- Startup scripts -- Snapshots and images -- How to snapshot a disk -- How to create an image of a disk -- Cloud launcher -- Deploying LAMP stack using GCE -- Modifying GCE VMs -- Summary -- Chapter 4: GKE, App Engine, and Cloud Functions -- GKE -- Contrasting containers and VMs -- What is a container? -- Docker containers and Kubernetes - complements, not substitutes -- GKE -- Creating a Kubernetes cluster and deploying a WordPress container -- Using the features of GKE.

Storage and persistent disks -- Load balancing -- Auto scaling -- Scaling nodes with the cluster autoscaler -- Scaling pods with the horizontal pod autoscaler -- Multi-zone clusters -- Cloud VPN integration -- Rolling updates -- The container registry -- Federated clusters -- Google App Engine - flexible -- Hosted Docker containers with App Engine Flex -- Running a simple Python application with App Engine Flex -- Cron Jobs with App Engine Flex -- Advantages of GKE over Docker on VMs or App Engine Flex -- Google App Engine - standard -- Hosted web apps with App Engine Standard -- Typical App Engine architecture -- Deploying and running on App Engine Standard -- Traffic splitting -- Serverless compute with cloud functions -- Cloud Functions triggered by HTTP -- Cloud Functions triggered by Pub/Sub -- Cloud functions triggered by GCS object notifications -- Summary -- Chapter 5: Google Cloud Storage - Fishing in a Bucket -- Knowing when (and when not) to use GCS -- Serving Static Content with GCS Buckets -- Storage classes-Regional, multi-regional, nearline, and coldline -- Working with GCS buckets -- Creating buckets -- Creating buckets using the web console -- Creating buckets using gsutil -- Changing the storage class of bucket and objects -- Transferring data in and out of buckets -- Uploading data to buckets using the web console -- Uploading data to buckets using gsutil -- Copying data between buckets using the web console -- Copying data between buckets using the gsutil command line -- Using the Transfer Service (instead of gsutil or the web console) -- Transfer Service or gsutil? -- Use case - Object Versioning -- Object versioning in the Cloud Storage bucket -- Use case - object life cycle policies -- Managing bucket life cycle using the web console -- Manipulating object life-cycle via JSON file.

Deleting objects permanently using the web console -- Deleting objects permanently using gsutil -- Use case - restricting access with both ACLs and IAM -- Managing permissions in bucket using the GCP console -- Use case - signed and timed URLs -- Setting up signed URLs for cloud storage -- Use case - reacting to object changes -- Setting up object change notifications with the gsutil notification watchbucket -- Use case - using customer supplied encryption keys -- Use case - auto-syncing folders -- Use case - mounting GCS using gcsfuse -- Mounting GCS buckets -- Use case - offline ingestion options -- Summary -- Chapter 6: Relational Databases -- Relational databases, SQL, and schemas -- OLTP and the ACID properties -- Scaling up versus scaling out -- GCP Cloud SQL -- Creating a Cloud SQL instance -- Creating a database in a Cloud SQL instance -- Importing a database -- Testing Cloud SQL instances -- Use case - managing replicas -- Use case - managing certificates -- Use case - operating Cloud SQL through VM instances -- Automatic backup and restore -- Cloud Spanner -- Creating a Cloud Spanner instance -- Creating a database in Cloud Spanner instances -- Querying a database in a Cloud Spanner instance -- Interleaving tables in Cloud Spanner -- Summary -- Chapter 7: NoSQL Databases -- NoSQL databases -- Cloud Bigtable -- Fundamental properties of Bigtable -- Columnar datastore -- Denormalization -- Support for ACID properties -- Working with Bigtable -- When to use Bigtable -- Solving hot-spotting -- Choosing storage for Bigtable -- Solving performance issues -- Ideal row key choices -- Performing operations on Bigtable -- Creating and operating an HBase table using Cloud Bigtable -- Exporting/Importing a table from Cloud Bigtable -- Scaling GCP Cloud BigTable -- The Google Cloud Datastore -- Comparison with traditional databases.

Working with Datastore -- When to use Datastore -- Full indexing and perfect index -- Using Datastore -- Summary -- Chapter 8: BigQuery -- Underlying data representation of BigQuery -- BigQuery public datasets -- Legacy versus standard SQL -- Working with the BigQuery console -- Loading data into a table using BigQuery -- Deleting datasets -- Working with BigQuery using CLI -- BigQuery pricing -- Analyzing financial time series with BigQuery -- Summary -- Chapter 9: Identity and Access Management -- Resource hierarchy of GCP -- Permissions and roles -- Units of identity in GCP -- Creating a Service Account -- Working with cloud IAM - grant a role -- Working with IAM - creating a custom role -- Summary -- Chapter 10: Managing Hadoop with Dataproc -- Hadoop and Spark -- Hadoop on the cloud -- Google Cloud Dataproc -- Compute options for Dataproc -- Working with Dataproc -- Summary -- Chapter 11: Load Balancing -- Why load balancers matter now -- Taxonomy of GCP load balancers -- HTTP(S) load balancing -- Configuring HTTP(S) load balancing -- Configuring Internal Load Balancing -- Other load balancing -- Summary -- Chapter 12: Networking in GCP -- Why GCP's networking model is unique -- VPC networks and subnets -- The default VPC -- Internal and external IP addresses -- VPN and cloud router -- Working with VPCs -- Working with custom subnets -- Working with firewall rules -- Summary -- Chapter 13: Logging and Monitoring -- Logging -- Working with logs -- More Stackdriver - creating log-based metrics -- Monitoring -- Summary -- Chapter 14: Infrastructure Automation -- Managed Instance Groups -- Cloud deployment manager -- Summary -- Chapter 15: Security on the GCP -- Security features at Google and on the GCP -- Google-provided tools and options for security -- Some security best practices -- BeyondCorp - Identity-Aware Proxy -- Summary.

Chapter 16: Pricing Considerations -- Compute Engine -- BigTable -- BigQuery -- Datastore -- Cloud SQL -- Google Kubernetes Engine -- Pub/Sub -- Cloud ML Engine -- Stackdriver -- Video Intelligence API -- Key Management Service - KMS -- Vision API -- Summary -- Chapter 17: Effective Use of the GCP -- Eat the Kubernetes frog -- Careful that you don't get nickel-and-dimed -- Pay for what you allocate not what you use -- Make friends with the gsuite admins -- Try to find reasons to use network peering -- Understand how sustained use discounts work -- Read the fine print on GCS pricing -- Use BigQuery unless you have a specific reason not to -- Use pre-emptible instances in your Dataproc clusters -- Keep your Dataproc clusters stateless -- Understand the unified architecture for batch and stream -- Understand the main choices for ML applications -- Understand the differences between snapshots and images -- Don't be Milton! -- Summary -- Other Books You May Enjoy -- Index.

The Google Cloud Platform is fast emerging as a leading public cloud provider. The GCP, as it is popularly known, is backed by Google's awe-inspiring engineering expertise and infrastructure and is able to draw upon the goodwill and respect that Google has come to enjoy. The GCP is one of a handful of public cloud providers to offer the full.

Description based on publisher supplied metadata and other sources.

Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.