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- Week 7
- Let machines do the work
- Contribution
- Connect with Me!
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Introduction to Cloud link
- Cloud computing.
- Cloud versus traditional architecture.
- IaaS, PaaS, and SaaS.
- Google Cloud architecture.
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Cloud Computing link
- Cloud computing characteristics
- IT infrastructure
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Cloud vs Traditional Architecture link
- Cloud computing timeline
- Google’s commitment to environmental responsibility
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Iaas, PaaS and SaaS link
- IaaS versus PaaS versus SaaS
- GCP choices
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Google Cloud Architecture link
- GCP compute services
- GCP storage services
- GCP big data services
- Google’s network
- Multi-regions, regions, and zones
- Resources
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Cloud Computing Recap Quiz link
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Summary - Cloud Computing link
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Introduction - Start with a Solid Platform link
- The GCP Console.
- Understanding projects.
- Billing in GCP.
- Install and configure Cloud SDK.
- Use Cloud Shell.
- GCP APIs.
- Cloud Console Mobile App
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The GCP Console link
- Ways to interact with GCP
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Understanding Projects link
- Every GCP service is associated with a project
- Identifying attributes
- Creating a project
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Billing in GCP link
- How billing works
- Controlling billing
- Quotas
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Install and Configure Cloud SDK link
- Overview of Cloud SDK
- Installing Cloud SDK
- Configuring Cloud SDK
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Use Cloud Shell link
- Cloud Shell as an alternative to Cloud SDK
- Starting Cloud Shell
- The GCP Console and Cloud Shell
- Cloud Shell code editor
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GCP APIs link
- Introduction to APIs
- GCP and APIs
- Client libraries
- Google APIs Explorer
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Cloud Console Mobile App link
- Manage GCP services from a mobile device
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Recap Quiz - Start with a Solid Foundation link
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Summary link
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Introduction link
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Compute Options in the Cloud link
- GCP compute services for different usage options
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Exploring IaaS with Compute Engine link
- Where Compute Engine fits within GCP
- Compute Engine as an infrastructure-centric solution
- Creating virtual machines
- Building virtual disks
- Compute Engine and networks
- GCP Pricing Calculator
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Configuring Elastic Apps with Autoscaling link
- How autoscaling works
- Scale-out and scale-in policy decisions
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Exploring PaaS with App Engine link
- Where App Engine fits within GCP
- App Engine as a platform-centric solution
- App Engine environments
- App Engine architecture
- How App Engine addresses key developer need
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Event Driven Programs with Cloud Functions link
- Where Cloud Functions fits within GCP
- Components of Cloud Functions
- How Cloud Functions works
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Containerizing and Orchestrating Apps with GKE link
- IaaS to PaaS comparison
- Where GKE fits within GCP
- Containers
- The relationship between containers, Docker, and Kubernetes
- GKE and containers
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Recap Quiz link
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Summary link
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Introduction link
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Storage Options in the Cloud link
- GCP storage options
- Use cases for cloud storage
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Structured and Unstructured Storage in the Cloud link
- Structured versus unstructured data
- Determining the best storage solution
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Unstructured Storage using Cloud Storage link
- Cloud Storage in GCP
- Storage classes
- Buckets
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SQL Managed Services link
- Databases
- Options for SQL-based managed services
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Exploring Cloud SQL link
- Cloud SQL in GCP
- Admin tasks addressed by Cloud SQL
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Cloud Spanner as a Managed Service link
- Cloud Spanner in GCP
- Cloud Spanner versus other databases
- Cloud Spanner features
- How Cloud Spanner works
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NoSQL Managed Services Options link
- Options for NoSQL based managed services
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Cloud Datastore a NoSQL Document Store link
- Cloud Datastore in GCP
- Cloud Datastore features
- Cloud Datastore use cases
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Cloud Bigtable as a NoSQL Option link
- Cloud Bigtable in GCP
- Cloud Bigtable features
- Interacting with Cloud Bigtable
- Cloud Bigtable structure
- Scaling Bigtable
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Recap Quiz link
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Summary link
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Introduction to API link
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The Purpose of APIs link
- Introduction to APIs
- REST APIs
- Challenges of deploying and managing APIs
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Cloud Endpoints link
- Cloud Endpoints features
- Where Cloud Endpoints fit
- How Cloud Endpoints supports deploying and managing APIs
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Using Apigee link
- Overview of Apigee Edge
- API gateways
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Managed Message Services link
- Challenges facing organizations
- Use cases for a managed messaging system
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Cloud Pub/Sub link
- Cloud Pub/Sub features
- Cloud Pub/Sub as middleware
- Pub/Sub patterns
- Cloud Pub/Sub within the big data processing model
- Examples of Cloud Sub-Pub working
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Recap Quiz - There's an API for that! link
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Summary - There's an API for that link
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Introduction - Cloud Security link
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Introduction to security in the cloud link
- Security and innovation
- Protecting your information processing lifecycle
- Google’s infrastructure security layers
- Securing hardware infrastructure
- Securing service deployment
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Understanding the shared security model link
- With GCP, security responsibility is shared
- Data access is the customers’ responsibility
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Explore encryption options link
- Different encryption options
- GCP provides server-side encryption
- Customer-managed encryption keys
- Customer-supplied encryption keys
- Persistent disk encryption with CSEK
- Other encryption options
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Understand authentication and authorization link
- Parts of an IAM policy
- Users
- Cloud Identity
- IAM roles
- Resources
- IAM primitive roles
- IAM predefined roles
- IAM custom roles
- Service accounts
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Identify best practices for authorization link
- Resource hierarchy
- Best practices for service accounts
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Recap Quiz - Security link
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Summary - Security link
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Introduction link
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Intro to Networking in the Cloud link
- A background to networking
- Google’s network
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Defining a Virtual Private Cloud link
- VPCs are SDN constructs
- VPC networks
- Subnets
- Network behavior within a project
- Auto versus custom subnet modes
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Public and Private IP Address Basics link
- A VPC is made up of subnets
- Internal versus external IPs
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Googles Network Architecture link
- Google networking products
- Google’s network architecture
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Routes and Firewall Rules in the Cloud link
- Routes
- Firewalls
- GCP firewall use cases (egress and ingress)
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Multiple VPC Networks link
- Connecting resources from multiple projects
- VPC Network Peering
- Shared VPC versus VPC peering
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Building Hybrid Clouds link
- Cloud VPN
- Cloud Interconnect - Dedicated
- Cloud Interconnect - Partner
- Comparison of interconnect options
- Direct Peering
- Carrier Peering
- Comparison of peering options
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Different Options for Load Balancing link
- Global versus regional services
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Recap Quiz link
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Summary link
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Introduction - Let Google keep an eye on things link
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Introduction to IaC link
- Defining your required infrastructure as code
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Cloud Deployment Manager link
- Cloud Deployment Manager features
- GCP support for open source IaC tools
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Monitoring and Managing Your Services, Apps, and Infra link
- Critical monitoring and management activities
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Stackdriver link
- Stackdriver Monitoring
- Stackdriver Logging
- Stackdriver Error Reporting
- Stackdriver Trace
- Stackdriver Debugging
- Stackdriver Profiler
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Recap Quiz - Let Google keep an eye on things link
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Summary - Let Google keep an eye on things link
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Introduction - You have the data, but what are you doing with it? link
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Intro to Big Data Managed Services in the Cloud link
- How big is a petabyte of data?
- Overview of big data managed services
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Leverage Big Data Operations with Cloud Dataproc link
- Hadoop and Spark
- Cloud Dataproc features
- Typical Spark/Hadoop clusters
- Separating storage and compute
- Cloud Dataproc use cases
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Build ETL Pipelines using Cloud Dataflow link
- Cloud Dataflow overview
- Cloud Dataflow templates
- Pipelines
- Cloud Dataproc versus Cloud Dataflow
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BigQuery Googles Enterprise Data Warehouse link
- BigQuery is Google’s data warehouse solution
- BigQuery versus traditional data warehouses
- Loading data into BigQuery
- Ways to analyze data
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Recap Quiz - You have the data, but what are you doing with it? link
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Summary - You have the data, but what are you doing with it? link
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Introduction link
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Introduction to ML link
- Defining machine learning
- Machine learning uses standard algorithms
- Model training
- Machine learning and AI
- The impact of ML is scale
- Barriers to entry have fallen
- The GCP machine learning spectrum
- Modern AI applications use deep learning
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ML and GCP link
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Building Bespoke ML models link
- TensorFlow
- AI Platform
- AI Platform and the ML workflow
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Cloud AutoML link
- Cloud AutoML in context
- Using Cloud AutoML for what you can see
- Using Cloud AutoML for what you can hear
- Using Cloud AutoML to turn structured data into predictive insights
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Googles Pre-trained ML APIs link
- Cloud Vision API
- Cloud Text-to-Speech API and Cloud Speech-to-Text API
- Cloud Translation API
- Cloud Natural Language API
- Cloud Video Intelligence API
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Recap Quiz link
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Summary link
- If you'd like to request a new function, feel free to do so by opening an issue here. Please include sample queries and their corresponding results.
Known on internet as Yogesh Nile
