Integrations / Google Cloud

ActsAsGeek + GCP

Give Mission Control the Cloud Run log context it needs to catch 500s after deploy, open a finding, and keep the investigation inside the environment where it happened.

Invite-only beta. No credit card.

Invite-only beta. Read the setup docs

Connect a Google Cloud project with a service account, point ActsAsGeek at a Cloud Run service, and the scanner watches Cloud Logging for the HTTP errors you configure. Findings can move into the inbox, optional analysis can use GitHub context, and verified closure still requires evidence — not a dropdown.

What it watches

The GCP surfaces that already feed real work.

These claims map to the current Cloud Run log-scanning path and related connectors. Anything beyond this list belongs in docs or roadmap, not marketing fiction.

Cloud Logging

Pull Cloud Run HTTP error entries from Google Cloud Logging for the services you configure.

Cloud Run

Scope scans to a GCP project, service name, and region so noisy neighbors stay out of the finding list.

Error findings

Group recurring 4xx and 5xx patterns into findings with sample payloads, counts, and first/last seen times.

Inbox triage

New findings can land in the inbox so the issue sits next to the rest of the environment’s operational work.

Code-aware analysis

When GitHub is connected, AI analysis can compare the log error against repository context and suggest a fix.

Optional fix PRs

If you enable it, analysis can draft a GitHub pull request instead of leaving the fix as a note you copy by hand.

How it works

Service account in. Cloud Run errors out as work.

ActsAsGeek connects through a GCP service account credential, binds it to an environment, and runs scheduled Cloud Logging reads for the Cloud Run services you configure.

A note on access

Prefer least privilege. The scanner needs read access to the log entries it fetches. Do not grant broad admin roles for a monitoring connector, and keep mutating cloud changes out of the default path.

01
Connect a service account
Store a Google Cloud service account key on the environment’s GCP connector. ActsAsGeek verifies the credential before you rely on it.
02
Point at a Cloud Run service
Create a log-scan config with the GCP project ID, service name, region, and the HTTP status codes you care about.
03
Let the scanner work
A scheduled job reads Cloud Logging, opens findings for new error patterns, and can push them into the inbox for review.
04
Analyze, then verify
Optional analysis uses GitHub context to propose a fix. Closing the loop still means you inspect the evidence — not a silent green check.

Example investigation

After a Cloud Run deploy, the smoke test starts returning 500s. The CI step fails.

Labeled example based on the shipped log-scan → inbox → analysis path. Not a customer case study.

1
A Cloud Run deploy finishes. The smoke test starts returning 500s.
2
The log scanner pulls matching Cloud Logging entries for that service and region.
3
ActsAsGeek groups the 500s into a finding with sample payloads and occurrence count.
4
An inbox item opens in the same environment so the issue does not disappear into another console.
5
If GitHub is connected and analysis is enabled, the analyzer reads nearby source context.
6
It proposes a root cause and a concrete fix path — still labeled as analysis, not a verified outcome.
7
If optional PR creation is on, a draft pull request is opened for human review.

Outcome

The environment has a finding, a triage item, and — when analysis is enabled — a proposed fix path with inspectable context. Verified closure still waits on a human review and evidence, not an automatic green light.

Frequently asked

Straight answers about the GCP connector.

What Google Cloud access does ActsAsGeek need?

The current setup uses a Google Cloud service account key stored as an integration credential. Grant the account the Logging permissions required to list the Cloud Run log entries you want scanned.

Does ActsAsGeek change my GCP resources?

The shipped GCP monitoring path is read-oriented: credential verification, Cloud Logging reads for configured Cloud Run services, and finding creation inside ActsAsGeek. Mutating work in your cloud account is not part of the current scanner.

Is this a full GCP investigator for every product?

No. The production path today is Cloud Run error-log scanning plus optional GitHub-backed analysis. Broader cloud resource inspection depends on connector health and configured gateways — do not treat every GCP product as a shipped investigation surface.

Where do findings show up?

Findings are environment-scoped. They can create inbox messages and appear with the rest of that environment’s operational work in Mission Control.

How do I set it up?

Use the Google Cloud documentation for the credential and log-scanning routes, then bind the connector to the environment you want watched.

Other connectors

Keep reading in the docs.

ActsAsGeek + AWS

CloudWatch, ECS, EKS, Lambda, EC2, RDS, and IAM — connect the account and keep the investigation in one environment.

ActsAsGeek + Azure

Azure Monitor, Container Apps, AKS, Functions, VMs, Azure SQL, and Entra ID — connect the tenant and keep the investigation in one environment.

Setup docs

Service account payload, project binding, and Cloud Run log-scan configuration details.

Bring GCP into the investigation context, not another browser tab.

Request beta access, connect one Cloud Run service, and keep the next 500 inside the environment that owns it.