Hands on Google cloud platform(GCP)--- Cloud Architect

Set up a google cloud account, sign in with gmail, and explore the cloud console in incognito mode, including creating a project and launching a vm instance.

Explore cloud shell to access GCP resources with a ready-to-use command line, sign into your account, select the correct project and billing, and use gcloud commands like auth list.

Explore the Hadoop ecosystem and its Google Cloud equivalent, highlighting distributed processing across clusters with yarn, hdfs, and map reduce, and the workflow from map reduce to yarn scheduling.

Explore the Hadoop ecosystem and its GCP equivalents, including Hive, HQL, and BigQuery. Learn about HDFS, MapReduce, HBase, Pig, Spark, Dataproc, and Google Cloud Storage.

Explore App Engine, Compute Engine, and Container Engine, and learn how to host websites, store big data, and enable machine learning with flexible OS images and storage options.

Choose preemptible vm instances to save costs for fault-tolerant or short-running workloads; Google terminates after 24 hours with a 30-second notice and requires a cleanup shutdown script.

Discover Google App Engine, a serverless platform that runs your code with minimal maintenance in standard and flexible environments, enabling auto-scaling, zero-downtime upgrades, websites, mobile apps, and APIs.

Discover Google container engine, Kubernetes, and GKE as the container orchestration backbone powering containerized workloads and cloud-native distributed systems.

Create a Google Compute Engine VM instance by selecting zone, region, and machine type, then configure firewall and access, SSH into the browser, and install Python with updates.

edit the vm instance in compute engine to adjust machine type, memory, cores, and disks, with attention to maintenance migration options and cost-saving deletion after use.

Create and manage vm instances from the command line using gcloud, scripts, and default zone; label resources and SSH into instances.

Learn to create and attach a persistent disk in Google Cloud Platform to a VM instance using gcloud commands, sizing the disk to 200 GB, and formatting before attachment.

Map hadoop storage components to gcp equivalents, such as BigQuery for OLAP, Bigtable for HBase, and Dataflow for Pig/Spark, while exploring storage options, buckets, and storage classes.

Learn to create globally unique cloud storage buckets and define location. Explore storage classes - multi regional, regional, near-line, cold line - geo redundancy, pricing, and transfer options with gsutil and transfer service.

Learn to create a Google storage bucket with a globally unique name, choose a storage class (multi regional, regional, near line, cold line) by access patterns, and upload files.

Create a bucket, upload files, and assign permissions to the bucket and its objects, then explore edit permissions features to share with limited audiences.

Learn lifecycle management for cloud storage buckets using gs-util on the command line. Create and copy buckets, and configure a 10-day delete lifecycle with a json file attached to bucket.

Explore the transfer service for data migration in GCP, creating a near-line cloud storage bucket, configuring source and destination, and enabling delete-from-source after transfer.

Explore ACID properties in Cloud SQL and Cloud Spanner, compare OLTP and OLAP, learn how 2nd generation features like proxy and high availability enable horizontal scaling with MySQL and PostgreSQL.

Learn how Cloud Spanner enables online transaction data processing with horizontal scaling, strong consistency, and real-time commit timestamps, emphasizing primary key design to prevent hot spotting and efficient transactions.

Create a Cloud SQL instance with MySQL second generation, not serverless, configure instance id, root password, region, and storage, then enable auto backups and binary logging for point-in-time recovery.

Explore datastore, a NoSQL document-oriented storage for XML and HTML, enabling fast key lookups on hierarchical data with strong indexing; understand its ACID properties and lack of joins.

Explore Big Table, GCP's managed HBase, a columnar store for fast sequential scans of sparse data, with dynamic attribute updates and easy column additions.

Explore BigTable's NoSQL design, CRUD-only operations, and the absence of joins, while evaluating row-level ACID updates and when to use fast scanning and time-series data.

Explore how Google Compute Engine uses virtual machines and images to keep VMs running during maintenance with live migration, including pre-migration brownout, blackout, and post-migration brownout.

Learn how Google Cloud Platform vm types work, from free tier to predefined, custom, and shared cores with bursting, high memory and CPU options, plus sustained and committed use discounts.

Discover the google cloud platform virtual private cloud concepts, including global private networks, shared VPCs, subnets with CIDR ranges, routing and firewall rules, and on-premise connectivity via VPN and peering.

Assign internal and external IPs to VMs, use alias IP ranges and CIDR subnets, and manage routes and firewall rules to control traffic in GCP.

Explore cloud vpn interconnections using cloud router with dynamic routes (vs static routes), or choose dedicated interconnect or direct and carrier peering for hybrid cloud, latency, and routing considerations.