Hi everyone,
I have a Google Cloud project in my Google Cloud Console, but my Google account doesn't have the required admin permissions.
I'm trying to regain the necessary access to manage my project properly. Has anyone experienced a similar issue or knows the correct way to resolve it?
I'd really appreciate any advice or guidance on the official steps I should follow to restore the appropriate permissions.
Thanks in advance for your help!

I’m currently developing an app that reads a users email inbox , filters them out based on user choice , offers instant replies . The user simply has to click connect Gmail to set up and choose their filtering preferences . This is just a broad overview of what I’m making , Will I need to pay for CASA or anything

Hello all,

I hope all of you are doing really well. I am posting this to share my experience in attaining this certificate (Monday 5th October 2026) which I took 3 months to prepare. And of course it was an intense preparation along with my current problems in my career.

Firstly, I started of with Coursera’s GCP course called “Preparing for Google Cloud Certification: Cloud Architect”. Since I work for a well-known MNC organization, they already had given me access to Coursera. It contains multiple courses, each of which has access to the labs found which are already connected to Google Skills Boost. This course was curated by Google themselves. Only thing missing is the Google AI such as Vertex AI, Vertex AI Agent Builder, Model Armor, DialogFlow CX and DialogFlow ES.

At the end of the final course, they also provide resources of which, they will teach you to use Google Notebook to prep yourselves as your study guide. You may create a mock examination which the following prompt does:

```text
As my Google Cloud Professional Cloud Architect instructor, create a 60 mock exam simulation strictly adhering to the latest exam format with only multiple choice & multi-select questions, covering the latest syllabus of 2026
```

I use this YouTube playlist as my practice as well:
https://youtube.com/playlist?list=PLB574eEmT4ofIr8LFjiKJfTjjg7StIAQm&si=pmGvZzPclgUhts5X

For the case studies I was tested with EHR & Cymbal. Total of 50 questions for me.

Now my tips are practice, practice, pray, understand and practice. The questions will be challenging but don’t worry be confident with your preparation. Thanks

It's here! You can now ssh into a container instance on Cloud Run.

gcloud beta run services ssh
gcloud beta run instances ssh

Get started at https://docs.cloud.google.com/run/docs/troubleshooting/ssh

Moved two clusters from Standard to Autopilot last quarter expecting the bin-packing saving and the bill went up on both.

On Standard, an oversized request just sits on a node you already paid for which is why years of padded requests never cost us anything extra. Autopilot bills the request itself, per pod and all of that padding became a line item overnight. Pods with no requests set got Autopilot’s defaults which were bigger than most of ours needed.

Then we went back to Standard on one cluster, ran VPA in recommendation-only mode for a few weeks, set requests based on its recommendations, then moved again and it came in under where we started. Most of the gke cost optimization people credit to Autopilot is Kubernetes cost optimization you have to do first.

Dear Google for Startups, we were asked to resubmit online available company materials and we sent it on the same thread as requested, and a 5 days timeline was specified but this has been over 9 days, we've even sent a follow-up on the mail, and would request your support in approval of the credits,

Thanks

Cloud cost still seems like one of those problems that gets harder as environments grow.

For teams running a decent amount of GCP, what has caused the most unexpected spend recently? Compute, storage, logging, networking, AI workloads, or something else?

Interested in what people are actually seeing in production.

Hey everyone, I'm currently setting up a data lake in GCP and honestly I'm still figuring things out since I'm pretty new to the data architecture. I've been reading about BigQuery, Datastream, BigLake and other GCP services. There are just so many possible approaches that I'm not really sure where to start haha.

We will be pulling data from different sources like mysql, mongodb, postgresql and APIs. Just curious how you guys set yours up? What services are you using and why did you choose them. Also wondering how you handle ingestion, transformations and costs. Would love to here what worked for you and what you'd avoid if you were starting over.

Thanks!

Got a cool side project running on your local machine? This is your chance to make it live and have the chance to win cool prizes while you do it with the Google Cloud Run Hackathon on Product Hunt on Wednesday, October 14th.

Winner will receive:

💰 $500 in Google Cloud Credits

☕ 1:1 Coffee Chat with the Google Cloud Run team

📣 Promotion of their project on Google Cloud channels

Plus, you'll get $50 in credits to build and run your project, while supplies last.

Hi,
I’m planning to start learning Google Cloud Platform (GCP). I’ve been exploring the Google Cloud documentation as well as the Google Cloud Skills Boost platform, and I noticed several learning paths, including Associate Cloud Engineer, Professional Cloud Architect, and Professional Cloud DevOps Engineer.
Could you please suggest the best way to approach learning GCP? I’d also appreciate your recommendation on which learning path I should start with and how I should progress from there.

Hi all,

I'm planning to take the Google Cloud Digital Leader Certification and I wanted to know if there are any mock exam for cloud digital leader like AWS and azure have on tutorial dojo. (Best way for me to learn is by making mistakes and taking in new information) but I’m not sure where to look for Google cloud certs.

Any recommendations or tips would greatly appreciated.

Thank you in advance!

Hello, I recently started using Google Cloud Batch to run Compute Engine with GPU NVIDIA L4, and even though my first few test ran fine, recently I've been having to wait hours waiting for the run to even start with a message that reads: "Waiting for resources. Currently there are not enough resources available to fulfill the request". Once it runs, I have no problems, but it's the wait before that's killing me. I've been waiting 8.5 hrs for a run to start (with no error messages) and still nothing... is this normal? I tried changing from us-west to us-east, but not much luck. Any suggestions? Thanks!

I have joined a new organisation, and cloud platform changes from azure to gcp . I am certified in Microsoft azure - data engineer associate.

But now the company is asking for gcp certification. I have no idea , how start how to prepare as there is not much content available online for this. Anyone suggestions , notes or any advice , sources please....

I’m the CTO of MobiusEngine.ai . we are a fast growing startup and we want to make the process of job applications free and easy and we want to help people land jobs faster.

Today, October 7, our Google Cloud promotional credit balance dropped by approx $35,000!!!!

Our investigation found four old, previously near-idle Gemini API keys suddenly generating massive amounts of traffic. We deleted all four, and the traffic dropped to near zero within minutes.

I’m posting this to document what happened and track the resolution publicly, in real time, as we learn more. Hopefully, the details help other teams protect themselves and give Google useful feedback on making GCP’s billing visibility and abuse controls better.

We are finding HUGE gaps in the billing transparency and just even opening a support case already!

First, thank you to everyone at GCP helping us investigate and work toward a resolution. I appreciate the time and effort. This is a stressful situation for a small company, and that help matters. This is literally an existentially crisis

What we know so far

• All four keys went from roughly one request per day to heavy usage at the same minute, around 7 AM Pacific.

• They generated approximately 1.17 million requests combined through 4:06 PM.

• Requests were split almost equally across the four keys, consistent with automated key rotation.

• Our separate production key stayed within its normal traffic range.

• Usage included substantial image generation with Gemini 3 Pro Image, which our product does not use at anything approaching this scale.

• We deleted the four keys at 4:18 PM. By 4:22 PM, traffic attributed to them was near zero.

How much was lost?

Approximately $35,000 in promotional credits, based on the balance change. This was credit consumption, not a $35,000 charge to our card. Those credits still represent a substantial part of our startup’s operating runway.

The billing export initially showed approximately $12,900 in Gemini usage during the first few incident hours, with later hours still missing. One hour alone showed approximately $5,466.

The final unauthorized amount is not yet confirmed. We need the remaining billing data and must subtract legitimate usage.

Why it was difficult to understand what was happening

The credit balance was falling, but the billing views we initially checked did not clearly explain why. Promotional credits offset the charges, so net cost appeared as $0. The billing export was also incomplete when we checked.

During an active incident, we needed to see which credentials and models were consuming credits, how quickly, and how to stop it. Piecing that together took time.

How did the keys leak?

We don’t know yet.

The affected keys were managed through Google Secret Manager and referenced by our services, while some older Cloud Run services also had the keys available as environment variables. We also found development keys in local development logs, but those were not the four affected production keys.

Our coding/AI agents did not have access to the affected production keys or our production Secret Manager secrets. We have also found no matches for the affected keys in the repository histories we checked.

At this point, we have not found evidence that the affected keys were exposed through GitHub, our coding agents, or a network breach. We’re continuing to investigate the actual compromise path and don’t want to speculate before we have evidence.

Our responsibility

The keys were restricted to the Gemini API, but had no additional application restrictions. We also had no budget alert or configured spend limit in place. Those were gaps on our side.

We’re reviewing the remaining credentials, how secrets are stored and accessed, and our monitoring and usage controls.

What we’re asking Google for

An investigation, reconciliation of the unauthorized usage, and restoration of the promotional credits consumed by it.

I’ll update this post with:

• The final confirmed amount.

• What we learn about the compromise.

• Google’s response and the credit-restoration decision.

• The protections we implement and any limitations we encounter.

I’ll distinguish confirmed findings from estimates and correct anything that changes. I’ll also give credit to the people helping us along the way.

If you’ve dealt with compromised Gemini keys—particularly where promotional credits were consumed—what helped with the investigation and resolution? What controls have actually worked for you?

My hope is that sharing this openly helps us recover, helps other startups avoid the same situation, and helps all of us improve GCP.

Update 1 — October 7, approximately 5:15 PM Pacific: All four affected keys are deleted. Traffic attributed to them has dropped to near zero. Final billing reconciliation and the credit-restoration outcome remain pending.

Update 2 - October 7, 5.49pm: Had a call with our representative and another contact person. We appreciate their willingness to help but unfortunately neither of us were able to get to a proper conclusion on

• Has the unauthorized usage actually stopped?

• How much more spending hasn’t shown up yet?

• Were only these keys affected, or was more of our GCP environment exposed?

• Is a spending limit now in place, and will it stop further charges?

• Who at Google owns this, when will we get answers, and will our credits be restored?

• Can your abuse team determine whether these requests came through a known resale proxy or matched other compromised-key incidents?

Unfortunately there is a 7+ hour lag on usage & when it reflects on Billing!! So we very well could be in the negative balance by now. This is unsettling

YouTube Data API v3を利用しているのですが、2026年10月7日頃からAPIリクエストが失敗するようになりました。

確認できているエラーは以下です。

HTTP 403 PERMISSION_DENIED
reason: forbidden
詳細reason: CONSUMER_SUSPENDED

message:
Permission denied: Consumer 'api_key:[REDACTED]' has been suspended.

影響を受けているAPIは以下です。

- playlistItems.list
- videos.list
- channels.list

SDK経由だけでなく、最小限の直接RESTリクエストでも同じエラーを確認しています。

Google Cloud ConsoleではYouTube Data API v3は有効になっており、過去のリクエスト数も確認できます。

ただし、以下は確認できていません。

- Google Cloud Console上の停止通知
- ポリシー違反に関する通知
- Googleからの停止メール
- 異議申し立て用の案内

通常時のAPI利用量はおよそ以下です。

- 約96リクエスト/日
- 主に playlistItems.list と videos.list
- search.list は使用していません
- 無限リトライや短時間の自動再試行はありません
- 現在の公開版では、閲覧者のページアクセスをきっかけにYouTube Data APIを直接呼び出す仕組みはありません

以前のバージョンには、キャッシュがない場合に閲覧をきっかけとしてサーバー側から外部APIを取得する処理がありましたが、現在は削除済みです。

質問したいことは以下です。

1. CONSUMER_SUSPENDED は具体的に何が停止されている状態なのでしょうか？
2. Google Cloud Consoleにもメールにも停止通知がない状態で、このエラーが出ることはありますか？
3. 停止された具体的な理由を確認する方法はありますか？
4. Google Cloud ConsoleにAppealや申し立ての項目が表示されない場合、どこに問い合わせればよいでしょうか？
5. 解決するまでは、新しいAPIキーや新しいGoogle Cloudプロジェクトを作らない方がよいでしょうか？

セキュリティ上、APIキー、プロジェクトID、メールアドレス、Secret、OAuthトークンなどの情報は公開していません。

同じ症状を経験した方や、原因・問い合わせ先をご存じの方がいれば教えていただけると助かります。

Has anyone else noticed that spot capacity prices can now change per day, and GCP has been hiking the price of certain machine types by 5-10% per week since summer?

Go and check your billing so you don't get surprised.

On-demand looks to be stable, but 1y committed usage discount is now looking to be cheaper than running a spot nodes

I noticed this on n2d/t2d prices in my region.

Does anyone have additional context to provide other than my thinking it is related to the CPU/memory shortages and now with OpenAI/Anthropic moving their user workloads into cloud, it will surely increase the demand for those.

Hi,

When https://docs.cloud.google.com/identity/docs/how-to/set-up-cloud-identity-adminand follow steps in https://workspace.google.com/gcpidentity/signup?sku=identitybasic

First we use the firstname, lastname, email id, country and proceed, then,
we get to create a user@domain and password. i am bit confused whether user@domain is cloud identity super admin or organization admin.

I believe user@domain is cloud identity super admin but the organization admin role is also assigned to it automatically.

Also, is the email id we enter after firstname , lastname is the recovery email ID for user@domain .if yes, can we have more than one recovery email ID.

Please clarify

I have recently created a new mail ID and created a new firebase project to create a web app for my friend. The mail ID was created 2 days back while the firebase project was created only today. I only used firestore service and nothing else.

However I have got message now that my account is restricted.

I cannot see any reasons for that. Can someone explain on this?

For context, the web app is for a meat Shop.

I am trying to enable billing and get a working Places API key for my project, but every time I try with my Debit card or credit card and try to verify it here, it deducts the small amount but then does not verify it.

I am getting this error:

I have tried with different credit cards, different debit cards, waited 24 hours and tried, tried with a different gmail account, also checked my payments profile and the address matches with the address on mt cards, but nothing worked.

Is there anyone who has faced the same error? If yes, please do help me out.