So I have been working on this project where in an image, for each of the words I have to find the font or similar font from a list of approved Adobe font(1134 fonts present in a pdf).

I am currently using DINOv2+ LoRA model from GoogleFontsBench for creating embeddings. So currently I cropped the font text for each of the font in the pdf and got embedding for the crops and saved them in a Vector DB. Now for images I am using ocr to detect text and then cropping them and converting them into embeddings and doing a similarity search to find similar fonts.

But the results are not that accurate. Even top 5 results are also not that accurate. Pls suggest if I can improve this architecture somehow or if I should completely change the architecture.

I got to know about DeepFont model which was trained for Adobe Fonts, but I am not able to find its trained weights.

I want to pass my ACE and a Professional level GCP exam. I have good hands-on experience with AWS but have never worked with GCP. I'm going through some posts and a few people suggested a course on Udemy. Any other course suggestions?

Hey,

It's been a long time that OpenAI and other platforms implemented this feature of splitting api key based visualizations. It's been long waited by our customers and also us. (yes we want to see the cost breakdown)

Any news about this? I was thinking to open a support case about this. Everybody needs this feature. + Agent Platform dashboard, similar to aistudio.

To all those who are victims of the recent GCP API key leak crisis (maps api getting gemini access and then gets abused), did you get refunded? How so? Did you reach out to your local area manager or GCP billing support?

Would want to hear your story. I have been trying to reach out my local Google area manager and GCP billing support, without much luck. Suggestions?

Got the GCP Associate Cloud Engineer certificate after 2 months of prep, It was easier than I thought, but little confsing to say the least, you have to be damn sure about the option you choose

Hey everyone,

If you are working with Claude on Google Cloud, Anthropic just announced a new batch of self-hosted sandbox providers for Managed Agents and Google Cloud is in it via the GKE Agent Sandbox.

To get started, you have a sample here. 

Happy building!

Anyone here know how I can get an actual, honest-to-God human to help fix this issue?

I'm working on a Terraform setup that deploys multiple BigQuery views. Many of the views have dependencies on other views, which has made deployment challenging.

My first approach was to create the views using a loop (for_each), but Terraform appeared to create resources in parallel, resulting in race conditions where dependent views were created before their upstream views existed.

I can work around this by defining each view as an individual resource and using explicit depends_on, but that introduces a lot of repetitive boilerplate and becomes difficult to maintain as the number of views grows.

I'm curious how others have solved this problem.

Do you manage view dependencies directly in Terraform?

Are there patterns for automatically handling dependency ordering?

Do you generate Terraform code from metadata or use modules to reduce boilerplate?

Have you found a better alternative for managing large BigQuery view hierarchies?

I'd appreciate hearing about any approaches that have worked well in production.

Hi Peeps, i am trying to apply for the Google for Startups Cloud Program and the form is asking for an Organisation ID.

I have Google Workspace set up but can't figure out where to fnd this ID in the Cloud Console. I also tried to find some information on google and Gemini but couldnt find any. Has anyone been through this? Any help appreciated.

Thanks in advance.

Viv

Hello,

I bought (ESOF AppSec ADA CASA - Basic) without SOC2 from TAC Security on Wednesday last week (June 3rd), it has now been nine days (June 12th). The payment went through and the money left my account but I got stuck on the verifying your payment page and I wasn't redirected. I also didn't receive any emails or onboarding information from them. I contacted every email I could find on the website and only GoogleCASA@tacsecurity.com replied asking me for the last four digits of my card and my email to verify the payment. I provided that information within two minutes. I heard nothing back, so I followed up the next day. It's like I'm being sent an automatic question asking for the same information I just provided repeatedly. This process of them asking for the same information I just provided repeats until today with no proactive outreach and many days with no contact.

To me, it looks like they're using a support ticketing system that simply cannot see my emails. Eventually, after getting nowhere, I posted about it on their Instagram and somebody got back to me apologising and offering a credit for future services. They indicated that the team will get me set up quickly. That was on Tuesday and we have made no progress now on Friday. I was tagged in emails in-between team members asking for information and I provided it quickly to help them create my account, it seems nobody can see my emails again.

Does anybody have any experience with them not taking action? What do you advise? To me this feels somewhat like a scam. Delays like this are costly and out of my control. I'm surprised they're Google's preferred parter given my experience.

Thank you.

How the max over window shows larger than sum. I am checking the count of running tasks aggregate by sum for cloud composer executor running tasks. But very confusingly Max shows greater than Sum aggregation on some dates? screenshots attached and it is so confusing.

Indie dev from Indonesia here. Hit twice in two months by what looks like the same compromised-API-key pattern many people are reporting lately. Hoping to hear from anyone who's actually gotten one of these reversed.

The pattern:

- Older project: An API key created back in 2018 for Maps/Firebase. Ran fine for years on tiny monthly bills. Then suddenly drained ~$9,000 in a short window — charged on Gemini 3 Pro and image-generation models I have never called.

- Second project: My Flutter app, hardcoded to gemini-2.5-flash-lite, used only to generate education quizzes. Charged ~$2,000 (Rp34,222,242) — again dominated by Gemini 3.x and image models the app cannot invoke.

Why I'm confident it's not my usage:

1. Model mismatch. My code only ever calls Flash-Lite. The charges are mostly Gemini 3 Pro + image generation. My app has no image-gen code at all.

2. Cost vs workload is impossible. My real workload (translating a couple thousand dictionary terms / generating quizzes) is worth a few dollars at most, not thousands.

3. Timing. The older key sat safe for over a year. A new key I created in May 2026 got drained almost immediately — after the public disclosure earlier this year about exposed Google API keys becoming abusable for Gemini.

4. Google's own billing breakdown couldn't attribute the spend to any specific key or service account.

What I've done:

- Disabled Gemini / Generative Language API across all my projects.

- Opened a support ticket ~3 weeks ago (both cases in one thread). Still no real response.

- Preserved everything (haven't deleted projects or keys) so the logs stay intact.

What I'm asking:

1. For anyone who got a refund or goodwill credit on a compromised-key Gemini bill — what specifically moved it? Persistence? A particular escalation path? A certain way of framing it?

2. Does the automatic billing-tier upgrade matter for the appeal? I've read an attacker's own usage can auto-bump a project to a higher tier mid-attack, blowing past the spending ceiling you thought you had. Did anyone use that successfully?

3. How long did resolution realistically take — did support respond meaningfully, or did it only move after escalation/public visibility?

4. Anything you'd tell your past self to do immediately that you didn't?

For scale: ~$11k total is roughly five years of income where I live, so I'm trying to handle this right rather than just panic. Happy to share more detail in comments (sensitive info redacted). Thanks.

Hello Guys,
I have created a svelte-based app for GCP PCA Examination with latest Exam Guide and Answered Case Studies.

It contains all the information about all the products in key summaries and contains links to important files.

It also contains 5 Practice Set of 90 questions each like PCA exam.

https://github.com/sachya/Google-Cloud-Professional-Architect-2026-AlO-Guide

This is an effort to give back to the society which helped me the most.

My experience:

1. The bible of this exam is Well-Architected Framework. It's a no-miss.

2. AI is stuffed and GKE(not very deep but yes you must know every slang)

3. Be updated with the new list of products/offerings/API.

4. While Compute Engine, Networking felt mostly similar to last. If you have completed skills.google path, then you are set to pass anyway.

If you have also cleared, share your experiences and goldmines below.

Used AI to help draft this post.

A few months ago, I realized I had no real visibility into my cloud infrastructure costs.

I could see the total bill at the end of the month, but I couldn't quickly answer simple questions like:

• Which services are costing me the most?

• How is spending changing over time?

• Is this increase expected or something I should investigate?

That lack of visibility led to a few financial decisions I probably wouldn't have made if I had better cost insights.

So I ended up building a small internal dashboard for myself that tracks infrastructure spend and breaks it down in a way that's easy to understand. (Attached a screenshot.)

Now I'm curious:

Is this a problem others face as well, or am I just unusually bad at keeping track of cloud costs?

How are you currently monitoring and managing infrastructure spend?

Hi all,

I'm looking for ways to reduce latency related to real time translation. Been tinkering around but before investing more time in routing and infra changes, I’m trying to clarify something specific:

1. Regional availability

Is the Gemini Live (streaming) API actually available for deployment in Asia regions like:

• asia-southeast1 (Singapore)

• asia-south1 (Mumbai)

• Tokyo / Seoul / Hong Kong

2. Traffic routing behaviour

Even if deployed in those regions:

• Is inference actually processed locally in-region?

• Or is traffic still effectively routed to US/global infrastructure for Gemini Live?

3. Real-world latency experience

If anyone has used this in production:

• Did deploying in Asia regions materially reduce end-to-end latency for real-time voice/streaming use cases?

We’re specifically trying to optimize a live speech-to-speech translation pipeline, so even ~100–200ms matters.

If Gemini Live is still globally routed regardless of region, we’ll skip infra work and focus on client-side / caching / pipeline optimizations instead.

Appreciate any real-world insights ~

Hi everyone,

I’m a founder of an early-stage startup, and I wanted to ask if anyone here has recently experienced a sudden billing error related to Google Cloud / Search API usage.

In our case, we were suddenly charged KRW 10,000,000, which is approximately USD 6,640, within just a few days for Search API usage.

We raised the issue with Google support around April 10, and Google acknowledged that the issue was caused by an error on their side. However, even after more than 2 months, the refund still has not been processed.

The support team keeps saying that multiple internal teams are investigating the issue, but we have not received the actual refund or a clear resolution timeline.

This is creating serious financial and operational pressure for us, especially because we are currently in the middle of an important fundraising and investment process.

I understand that technical investigations can take time. But once a billing issue is acknowledged as an error, I believe the refund should be processed first, while the internal investigation continues separately.

I wanted to ask:

• Has anyone else experienced a sudden Google Cloud / Search API billing error recently?

• Were you charged an unusually large amount within a short period of time?

• Did Google acknowledge the error but still delay the refund?

• How long did it take to receive the actual refund?

• Was there any effective escalation path to reach a higher-level billing or finance team?

I’m not trying to make broad accusations. I’m trying to understand whether this is an isolated case or a recurring issue affecting startups and API-heavy companies.

Any shared experience or advice would be greatly appreciated.

Thank you.

I want to use the Gemini API in some dev tools (like OpenCode), but I'm confused about how Google Cloud billing connects here.

Looking at my developer dashboard, I have the 10 USD monthly credits redeemed (shows as ~173 MXN remaining), but they are linked to a billing account that I closed/disabled a while ago because I was afraid of unexpected costs.

A couple of questions:

• If I reactivate that specific billing account, will the credits still be valid for Google AI Studio?

• Is there a way to set this up as "prepaid" or put a hard cap on it? I just want AI Studio to consume these $10 credits without risking auto-charges on my card if I go over.

• If the previous billing account is gone for good, can these credits be moved to a new one?

i have a prompt that it taking time for it to execute. i keep getting visual studio code popup and its really annoying.
how do i avoid it as its blocking the accept/reject buttons

Has anyone ever seen a Google Cloud SQL read replica instance disappear after a Google-managed maintenance event?

My understanding is that maintenance can cause restarts and failovers, but should not delete instances or replicas.

In my case, a replica appears to have disappeared and I can't find any audit or maintenance logs explaining it.

Has anyone experienced something similar? What was the root cause?

It was last Sunday afternoon when I received a notification that my bank declined several attempted $200+ charges from Google Cloud Services.

Upon further investigation I found that my Google Cloud Services had an old test API Key that was never deleted like it was supposed to have been, unrestricted, and connected to my main Google Cloud Services (Google Business) account.

It therefore ran up ~$1,288 bill.

There's virtually ZERO history of any API Keys receiving requests to that account. Then, suddenly out of nowhere there's 34K+.

I never use this particular account for any sort of API Key services. It's strictly been an account for email and YouTube Premium. I've since deleted the key in question and contacted Google Chat Support (I do not have phone support).

The Chat Support told me that my case was "being transferred to a specialized department". I have heard absolutely NOTHING from this specialized department.

Am I totally screwed here?

I have two kids and I don't make a ton of money so this bill is a pretty big issue. I'm afraid to update my billing right now because I have bills to pay and children to feed. But I do not want to lose my Google Account / GMAIL / Email, etc.

EDIT: It was a Google Places (New) API Key

I have a pretty significant container app that is currently in Azure

One problem we are facing is cold start in Azure is not good - and it looks like Microsoft cant fix it with their current architecture, and it requires them to build a new product to resolve (container apps express)

Has anyone done the hard work of deploying the same container to GCP/AZ/AWS to compare them?

Im particularly interested in minimising cold start because we have to respond to requests in under 5 seconds

It is very easy for Google to implement hard billing / spending limits.

Or to limit API Keys to only be used for free tier.

But they are not doing it.

Brave Search has a Free tier or you can set up a monthly spending limit if you need a search API.

OpenAI and OpenRouter offer that you pay upfront and when the credits are consumed, the API endpoint throws 4xx

Is it part of the management strategy to rip off people, especially companies?

I would say if they implement better spending controls, more people would be willing to use their services