gcp Concepts
Step-by-step explanations, real-world issues, and simplified understanding. Master every angle — from foundational concepts to real-world troubleshooting.
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Interactive guides & progressions
Platform terminology defined
Master Compute Engine, GKE, Cloud Run, and Cloud Functions to choose the right compute model and deploy scalable, cost-efficient workloads.
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 Compute and Container Services covers a variety of key topic guides, including: Choosing Between Compute Engine, GKE, Cloud Run, and Cloud Functions, Configuring Managed Instance Groups with Autoscaling, Deploying to GKE Autopilot vs Standard Mode, Deploying Serverless Containers with Cloud Run, Reducing Compute Costs with Spot VMs and Custom Machine Types, Managing Container Images with Artifact Registry. Master Compute Engine, GKE, Cloud Run, and Cloud Functions to choose the right compute model and deploy scalable, cost-efficient workloads.
GCP Compute and Container Services is a core learning conceptual pillar mapped within the gcp engineering hub of the DevOps Network.
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