Working on Google Cloud: Workloads, Account Security, Management and Cost Control
The Google Cloud services most teams rely on, the security steps for a new project, how to keep resources and billing organized, and how GCP discounts work.
Google Cloud Platform (GCP) is known for its data and AI tooling, its global network and its emphasis on managed services. This guide is about using it well once you have a project: which services teams actually build on, how to secure a new account, how to keep projects and billing organized, and how Google Cloud’s pricing and discount models work. For the basics of projects and billing accounts, read our Google Cloud fundamentals guide first.
What you can build on Google Cloud #
| Area | Services | What they do |
|---|---|---|
| Compute | Compute Engine | Virtual machines with standard, high-memory, compute-optimized and GPU machine types |
| Storage | Cloud Storage, Persistent Disk, Filestore | Durable object storage, block disks for VMs and managed file shares |
| Managed databases | Cloud SQL, Spanner, Firestore, Bigtable, Memorystore | Relational, globally distributed, document, wide-column and in-memory databases with backups and scaling handled by Google |
| AI and machine learning | Vertex AI, Model Garden | A unified platform to build, deploy and scale models, with access to Google’s Gemini models, Anthropic’s Claude and open models such as Llama |
| Networking and delivery | Cloud CDN, Cloud DNS, VPC, API Gateway | Content delivery, DNS, private networks and managed APIs |
| Serverless | Cloud Run, Cloud Functions, App Engine | Containers, functions and applications without server management |
| DevOps | Cloud Build, Cloud Deploy, Artifact Registry | Build pipelines, delivery pipelines and container or package storage |
| Analytics | BigQuery, Dataflow, Dataproc, Pub/Sub | Serverless data warehouse, stream and batch processing, managed Spark and Hadoop, and messaging |
| Security and identity | Cloud IAM, Cloud KMS, Security Command Center, reCAPTCHA Enterprise | Permissions, key management, security posture monitoring and bot protection |
How teams use it #
Developers use separate projects to keep client or side projects isolated, each with its own billing and IAM. Startups lean on managed services such as Cloud Run and Cloud SQL to move quickly without an operations team. Agencies typically ask each client to own their organization and grant the agency IAM roles, which keeps billing and security separate. Researchers and data scientists come for GPU and TPU machines, BigQuery and Dataproc. AI teams use Vertex AI to train and deploy models, tune large language models and pick from more than 200 models in Model Garden. Our comparison of AI infrastructure across providers puts these options in context.
Securing a new Google Cloud account #
- Protect the primary Google account with a strong, unique password and two-step verification.
- Grant IAM roles to individual users instead of working from the owner account. Use predefined roles where possible and custom roles when you need something narrower.
- Create Cloud Billing budgets and alerts for every billing account.
- Review VPC firewall rules so only intended traffic reaches your instances. Default rules are permissive for internal traffic and should be reviewed.
- Enable Cloud Audit Logs for the services you use. Admin activity logs are on by default; data access logs usually need to be turned on.
- Schedule security reviews of IAM bindings, service account keys and firewall rules.
Management essentials #
- Organize with projects and labels. Projects are the unit of isolation; labels on resources make cost reports meaningful.
- Monitor costs in the billing dashboard, Budgets and the Cost Table report.
- Apply least privilege through IAM. Review who holds Owner and Editor roles, because those are broad.
- Automate backups for databases and disks, and test restores.
- Watch compliance with Security Command Center and Policy Intelligence.
Organizations can migrate existing projects and billing accounts into an organization resource for centralized control of policies, billing and access. Within an organization, assign roles to team members based on responsibility rather than granting everyone project-wide access.
How Google Cloud pricing works #
| Model | How it works |
|---|---|
| On-demand | Pay for compute by the second with no commitment |
| Committed use discounts | Commit to a level of resources for one or three years for a significant discount |
| Sustained use discounts | Automatic discounts for certain compute resources that run for a large part of the month; nothing to sign up for |
| Spot VMs | Spare Compute Engine capacity at a large discount; instances can be preempted |
| Free Tier | Limited free usage of many common products, available to all users, separate from the one-time free trial credit |
The difference between the free trial and the always-available Free Tier trips up many new users; our guide to the Google Cloud free trial versus free tier explains it.
Keeping costs down
- Use Cloud Billing budgets with alert thresholds.
- Review the Cost Table and Billing Reports regularly.
- Right-size machine types; the console suggests changes based on observed usage.
- Use autoscaling for managed instance groups and Cloud Run.
- Buy committed use discounts for the baseline you know you will run.
- Delete idle resources, especially unattached disks, old snapshots and unused static IPs.
A first-week checklist for a new project #
- Create a dedicated project for the workload and link it to the right billing account.
- Set a budget with alerts at a low threshold before creating any resources.
- Grant teammates predefined IAM roles at the project level; keep Owner to one or two people.
- Enable the APIs you need and turn on data access audit logs for the services that hold customer data.
- Label every resource with
env,teamandappso cost reports are readable from the first invoice. - Write the setup down, ideally as Terraform, so the next project starts from a known-good template.
Official references #
The Google Cloud documentation is the source of truth for services, IAM and billing. Our Google Cloud platform overview covers where the platform fits and how to sign up officially.
Frequently asked questions #
How do I manage a Google Cloud account?
Through the Google Cloud Console in a browser, or the gcloud CLI and client libraries for automation. Terraform and similar tools are widely used for repeatable setups.
What is the difference between a project and a billing account?
A project holds resources and IAM; a billing account pays for them. One billing account can fund many projects, which is how organizations separate workloads while keeping a single invoice.
Which security setting is most often missed?
Data access audit logs. Admin activity is logged by default, but reads and writes to data in many services are not logged until you enable them.
