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Home - Lessons - Google Cloud Engineering - M4 — Containers: GKE, Cloud Run and Cloud Build - Cloud Run jobs for batch work

Google Cloud Engineering Cloud Run jobs for batch work

Google Cloud Engineering

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M1 — The Cloud Engineer Workflow

Google Cloud hierarchy: organisation, folder, project

Console, Cloud Shell and gcloud command line

Quota, billing and budget configuration

Resource Manager and labels

Interfacing with the REST and client libraries

Working in a shared team environment

M2 — Identity, Access and Organisation Policy

IAM roles, principals and binding inheritance

Service accounts and key management

Workload identity federation for external identity

Custom roles versus predefined roles

Organisation policy constraints and tags

Cloud IAM audit and access approval

M3 — Compute: VMs, Groups and Autoscaling

Compute Engine machine types, images and scheduling

Instance templates and managed instance groups

Horizontal and vertical autoscaling

Persistent disk, local SSD and snapshots

Instance identity and metadata

Serial console and troubleshooting boot failures

M4 — Containers: GKE, Cloud Run and Cloud Build

GKE clusters, node pools and versions

Workloads, services and ingress

Autopilot versus Standard clusters

Cloud Run services and revisions

Cloud Build triggers and artefact registry

Cloud Run jobs for batch work

M5 — Storage and Databases

Cloud Storage classes, buckets and lifecycle policies

Cloud SQL configuration, HA and read replicas

Cloud Spanner for globally consistent workloads

Firestore for document workloads

Memorystore for caching

Backup, point-in-time recovery and migration

M6 — Networking, Load Balancing and Hybrid

VPC design, subnets and secondary ranges

Cloud Load Balancing: HTTP, TCP and internal

Cloud NAT and private Google access

Cloud VPN and Interconnect

Cloud DNS and Cloud CDN

Firewall rules, policy and packet mirroring

M7 — Monitoring, Logging and Alerting

Cloud Monitoring metrics, dashboards and uptime checks

Cloud Logging sinks, exclusions and log-based metrics

Alerting policies, notification channels and SLOs

Error Reporting and Cloud Trace

Managed instance group health checks

Incident response runbooks

M8 — Capstone: Operate a Production Environment

Deploy a three-tier application across zones

Containerise a service and put it behind a load balancer

Configure autoscaling and health checks

Build the monitoring dashboard and alert set

Harden IAM and enable audit logging

Recover from a simulated zone failure

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