Pubsub GCP
You set up pubsub gcp by creating a topic, adding a subscription, and assigning roles. Your sender app writes messages to the topic, and your reader app pulls them. Most teams start by giving a shared service account a broad project role. That shortcut lets any app read or write every topic in the project. A single leaked key or buggy script can then flood queues or read private events. Scoping roles to each topic and subscription keeps one bad deploy from breaking other services. How pubsub
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You set up pubsub gcp by creating a topic, adding a subscription, and assigning roles. Your sender app writes messages to the topic, and your reader app pulls them.
Most teams start by giving a shared service account a broad project role. That shortcut lets any app read or write every topic in the project. A single leaked key or buggy script can then flood queues or read private events. Scoping roles to each topic and subscription keeps one bad deploy from breaking other services.
How pubsub gcp works with topics and roles
The messaging service splits message senders from message readers. A sender app sends an event payload to a named topic. The cloud service stores that message on disk right away. It then routes a copy of the message to each attached subscription.
A reader app connects to a single subscription to get work. In a pull setup, the reader asks the subscription for new messages when ready. In a push setup, the cloud service sends the message to an HTTP endpoint. Once the reader finishes its task, it sends back an acknowledgment. The subscription then removes that message so no other worker processes it again.
Identity and access rules sit on top of both resources. You can grant a publish role to one service account on a single topic. You can grant a subscribe role to another service account on one subscription. This layout stops a reader app from publishing fake events to the topic. It also stops a sender app from draining messages meant for downstream workers.
How to scope service accounts and message delivery
Start by creating a separate service account for each app in your cloud project. Never share one identity across different apps or worker pools. Attach the publish role for a specific topic to the sender account only. Attach the subscribe role for a specific subscription to the reader account only. Keep project-level editor and owner roles away from your running apps.
Next, pick how your apps prove their identity at runtime. Workloads running inside Google Cloud can use attached service accounts without static key files. Workloads outside the cloud can trade external identity tokens for short-lived cloud credentials. Avoiding static JSON key files on laptops and build servers cuts down leak risks.
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You should also set up a dead-letter topic for messages that fail processing. Sometimes a bad payload causes a reader app to crash over and over. A dead-letter rule moves that stuck message aside after a set number of tries. Your main queue keeps moving while engineers check the broken payload later.
What native cloud roles solve and what they miss
Resource-level roles solve the problem of which app can reach which queue. They stop an billing worker from reading events on a user signup subscription. They also log which service account created or deleted a topic in the project. For basic service-to-service isolation, topic and subscription roles work well.
Still, native cloud roles only check who logs in at the door. Once an engineer or app holds a valid role, the cloud accepts any payload. Native roles do not inspect the data inside a message while it is in flight. If an event payload carries emails, phone numbers, card numbers, or national IDs, anyone with read permissions gets those raw fields.
The same gap appears when engineers debug live queues or run admin commands. A developer who needs to check one stuck event often gets broad read roles. The cloud platform does not pause a risky admin action for peer approval. It also does not mask sensitive fields in payloads returned during a live check.
Govern statements and responses across databases and APIs
Good config and scoped roles are needed setup. They do not check single queries in flight or mask sensitive fields in returned rows. Across Postgres, MySQL, SQL Server, MongoDB, ClickHouse, Kubernetes APIs, SSH, and internal HTTP endpoints, hoop.dev runs beside each supported service as an open-source proxy, a sidecar for your database or API.
First, hoop.dev guardrails block banned queries before they run. Then hoop.dev data masking rewrites matched sensitive values in responses in memory. The audit trail records every statement and verdict per resource. Furthermore, hoop.dev holds SOC 2 Type II and is open source on GitHub.
Frequently asked questions
What is the difference between a topic and a subscription?
A topic is the named feed where sender apps publish new messages. A subscription is the queue that holds a copy of those messages for one reader app.
Should I use pull or push delivery for my workers?
Use pull when your workers control their own pace and run behind firewalls. Use push when you want the cloud to call a public webhook or serverless function.
How do I stop developers from sharing JSON service account keys?
Bind developer identities to narrow roles and use short-lived tokens from your login provider. Remove static key creation permissions so team members cannot download key files to laptops.