gcp Concepts
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Interactive guides & progressions
Platform terminology defined
Master Cloud Storage classes, Persistent Disks, and GCP's database products to store and query data correctly and cost-effectively.
Key words used in this concept — explained simply, no jargon.
Google Cloud's current, unified package and container image storage service, the successor to the older Container Registry. It supports container images alongside language packages like npm, Maven, and Python packages in one service, and supports cleanup policies to automatically remove old, untagged image versions.
Google Cloud's serverless data warehouse for analytics, priced based on the volume of data a query actually scans rather than pre-provisioned compute capacity. Selecting only needed columns and querying a properly partitioned table's relevant date range are the two highest-impact levers for controlling BigQuery cost.
A wide-column NoSQL database built for very high throughput at extremely low latency, suited to time-series data, IoT telemetry, and analytics workloads with massive write volume. It is a specialized tool distinct from Firestore's document model or Cloud SQL's relational model.
A security policy service attached to a Global External HTTP(S) Load Balancer, filtering malicious requests before they reach the backend. It supports rate-based rules blocking a single source IP exceeding a request threshold, and preconfigured WAF rules blocking common attack patterns like SQL injection, Google's equivalent of AWS WAF or Azure WAF.
GCP Storage and Database Solutions covers a variety of key topic guides, including: Choosing the Right Cloud Storage Class, Choosing Between Zonal and Regional Persistent Disks, Choosing Between Cloud SQL, Spanner, and Firestore, Running Analytics Queries with BigQuery, Configuring Cloud Storage Lifecycle Management, Migrating Databases with Database Migration Service. Master Cloud Storage classes, Persistent Disks, and GCP's database products to store and query data correctly and cost-effectively.
GCP Storage and Database Solutions is a core learning conceptual pillar mapped within the gcp engineering hub of the DevOps Network.
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