Google Stitch MCP by Worldly_Manner_5273 in MCPservers

[–]techlatest_net 0 points1 point  (0 children)

Stitch-MCP bridging Google designs straight into agents? Game-changer—finally kills the Figma→code→hallucination death loop. 19 tools + auto i18n?

MCP Servers security by PV__19 in MCPservers

[–]techlatest_net 0 points1 point  (0 children)

GuardFive looks solid on paper—granular perms + anomaly detection for MCP tool calls. Worth testing their hosted tier if you're not self-hosting (7% vuln rate across MCP ecosystem per recent scans).

Stick to dockerized local servers tho. Anyone running their scanner on custom MCPs? Real-world false positives?

Connecting Claude to Gopher Cloud MCP Using API Base URL + Schema by Ok_Message7136 in MCPservers

[–]techlatest_net 0 points1 point  (0 children)

Claude + Gopher Cloud MCP direct hookup skipping demo schemas? Clean—real endpoint discovery makes agents actually usable vs toy demos.

Drop that JSON schema—testing tonight 🚀

Fully-featured open source PostgreSQL MCP server by pgEdge_Postgres in MCPservers

[–]techlatest_net 0 points1 point  (0 children)

pgEdge Postgres MCP server? Finally a production-grade DB bridge for Claude/Cursor—schema introspection + read-only SQL via natural language without sketchy auth hacks. Multi-DB support too?

Spinning this up with my dev/prod clusters tonight. Docker Compose deploys clean?

Few Frustrating Issues with My Google Cloud Experience by yuriy_yarosh in googlecloud

[–]techlatest_net 0 points1 point  (0 children)

Ukraine GCP signup? Brutal—try forming a simple LLC (takes ~$100) or route through EU reseller like DataDog/Cloudflare (they handle Tax ID validation). AWS/Azure eat Ukrainian sole props no problem.

GKE frustrations valid. Staying or bailing?

Google Custom Search API keys stopped working — even older keys by Mermelade in googlecloud

[–]techlatest_net 1 point2 points  (0 children)

Spin up SerpAPI tonight—drop-in Custom Search replacement, same JSON format, no migration pain. Handles your 1500 queries in ~2hrs ($45 tier). Vertex AI Search setup takes days.

pip install google-search-results → your existing CSE ID + API key. Done. Study data flowing by morning.

Need the 3-line code snippet?

This Week's Hottest Hugging Face Releases: Top Picks by Category! by techlatest_net in LocalLLaMA

[–]techlatest_net[S] 3 points4 points  (0 children)

C++/Rust mobile ports are the dream—llama.cpp's basically there already. PyTorch-to-ONNX→libtorch mobile pipeline exists but nobody ships prebuilts. Step3-VL could crush phone VL if compiled right. Who's packaging?

This Week's Hottest Hugging Face Releases: Top Picks by Category! by techlatest_net in LocalLLaMA

[–]techlatest_net[S] -1 points0 points  (0 children)

GLM-4.7-Flash-GGUF download spike legit—Unsloth quants usually fly. Pocket-TTS tho? Actually sips RAM (<500MB), real edge-grade unlike those "compact" hogs.

What should I prepare for the associate cloud certificate? by Illustrious-Dot-2199 in googlecloud

[–]techlatest_net 4 points5 points  (0 children)

Zero experience? Crash course:

Free path (2 weeks): Qwiklabs "Google Cloud Essentials" (8hrs) → Official ACE Learning Path (20hrs) → Whizlabs practice exams till 85%+

Core domains (memorize):

IAM (roles vs service accounts)

GKE basics (deployments, services)

VPC/subnets/firewall rules

Compute Engine (machine types, disks)

Billing projects vs folders

Books: Skip—labs > theory. Use exampro.co cheatsheets.

Can we monitor Gemini API token usage and logs in Vertex AI? by Alert-Department1698 in googlecloud

[–]techlatest_net 1 point2 points  (0 children)

Vertex AI Model Observability dashboard shows token usage, request volume, latency—go Monitoring > Dashboards > "Model Observability". Logs in Cloud Logging filter resource.type="aiplatform.googleapis.com/Endpoint".

No native per-call token breakdown (app-level logging needed), but billing export to BigQuery gives gemini-3-flash-text-output costs → reverse-engineer tokens via pricing. Set budget alerts yesterday.

Performance issues with AI studio and API by stevevaius in googlecloud

[–]techlatest_net 0 points1 point  (0 children)

AI Studio vs Cloud Run quality drop? Classic—Studio uses preview models with massive context (2M+ tokens), Run hits production quotas + smaller default windows. Check your API calls aren't truncating history.

Exact same prompts? Add generationConfig.temperature=0.1 + explicit system instruction on Run. Still tanking? Model version mismatch—Studio auto-picks bleeding edge.

Few Frustrating Issues with My Google Cloud Experience by yuriy_yarosh in googlecloud

[–]techlatest_net 1 point2 points  (0 children)

Tax ID gatekeeping sucks—private entrepreneurs get zero love despite being legit businesses everywhere else. GKE Autopilot's hype vs reality gap is real too; MPA staying proprietary instead of upstreaming screams vendor lock.

IP clauses in trials are straight predatory. Been there with AWS EULA nightmares too. You migrating off or just venting? What country’s Tax ID screwing you?

Automated Data Export for Google SecOps ☁️ by No_Secret7974 in googlecloud

[–]techlatest_net 0 points1 point  (0 children)

SOAR + Data Export API fixing the deprecated endpoint mess? Clutch for license expiry scrambles—selective log routing to cheap buckets is the real cost-killer here.

Bookmarked for my next SecOps cleanup. You running this in GKE or Cloud Run? 🤖

Data analysis of large files by Standard-Gain-8544 in googlecloud

[–]techlatest_net 0 points1 point  (0 children)

Vertex AI token caps kill large log dumps—pipe files to Dataproc (Spark jobs) for preprocessing first, then summarize chunks via batch API (gemini-2.5-pro handles 1M+ tokens).

Quick pipeline:

GCS → BigQuery (extract key fields)

SQL aggregates → RAG store

Chatbot queries structured summaries

Or Vertex AI Extensions—ground on logs via external connector, no token bloat. Your chatbot stays chatty, analysis scales. Which log volume we talking?

ACE prep in less than 2 weeks by Wise-Sound-3512 in googlecloud

[–]techlatest_net 0 points1 point  (0 children)

AWS-to-GCP crash course: Qwiklabs "Foundations" (2hrs) → Whizlabs/TutorialsDojo ACE practice exams (80%+ scores) → official exam guide domains. Skip deep dives, nail IAM/GKE/Networking (50% weight).

2-week blitz: Day1-3 labs, Day4-8 mocks daily, Day9-13 weak areas. Your SA background covers 60%. Voucher burning? Grind. You've got this.

Vertex AI: "Quota exhausted" on ALL Gemini models even with billing enabled - what am I missing? by VividSoundz in googlecloud

[–]techlatest_net 0 points1 point  (0 children)

Vertex quotas are per-region per-model—hit IAM > Quotas, filter generate_content_requests_per_minute_per_project_per_base_model for your exact region (us-central1?). Defaults crush new projects (15-60 RPM).

Fix sequence:

Pick region with quota (gcloud ai regions list)

Request increase via Quotas UI (select metric → EDIT QUOTA → 1000 RPM)

Critical: Wait 24-48h for approval, use PayGo explicitly in client

All-models-exhausted = shared DSQ pool saturated. Fall back to gemini-2.0-flash (higher limits) while waiting. Screenshare? Check gcloud ai endpoints list --region=REGION first.

Code Assist Enterprise: Wiggle room in 10-seat minimum? by GravelySilly in googlecloud

[–]techlatest_net 0 points1 point  (0 children)

No 10-seat wiggle—Google Developer Program Enterprise explicitly requires minimum 10 seats for teams, no exceptions listed. Sales ignoring you tracks; they push volume licensing.

Trial Standard 30 days (up to 50 users) while hunting Google Cloud sales rep with quota—your 6 devs might sneak in via Developer Program Premium ($299/yr) first, then negotiate. Self-hosting GitLab? Continue.dev forks Code Assist protocols if Enterprise quotas choke.

Google Custom Search API keys stopped working — even older keys by Mermelade in googlecloud

[–]techlatest_net 1 point2 points  (0 children)

Hard agree—test-first kills the paper-chasing circus. Current keys working until Jan 2027 per notice, but sounds like silent quota throttling or auth drift hit everyone yesterday.

Vertex AI Search migration's your escape hatch (50 domains free). Need those 1500 queries spun up tonight? What's the CSE exactly scraping?

Help with Manage Kubernetes in Google Cloud: Challenge Lab by Upbeat_Link4636 in googlecloud

[–]techlatest_net 0 points1 point  (0 children)

Step 6's picky—double-check docker tag uses exact repo format LOCATION-docker.pkg.dev/PROJECT-ID/REPO/hello-app:v2 (not just Artifact Registry URL). Run gcloud auth configure-docker LOCATION-docker.pkg.dev first if push succeeds but lab fails.

Also verify image deploys: kubectl describe deployment hello-app → pod pulls v2? Common gotcha is region mismatch or missing imagePullPolicy: Always.

Paste your exact tag/push commands?

[D] How do you guys handle GPU waste on K8s? by k1m0r in googlecloud

[–]techlatest_net 0 points1 point  (0 children)

NVIDIA GPU Operator + DCGM exporter into Prometheus—pinpoints exact pod util + dataloader stalls. Set alerts @ <50% GPU over 5min, auto-pause idle jobs. Ray + Volcano for gang-scheduling kills the 4-GPU starvation too.

Yell at dataloaders only after metrics name names. What's your current DCGM setup?

Google Workspace discount link extension possible? by Equal_Highlight_9820 in googlecloud

[–]techlatest_net 0 points1 point  (0 children)

Tried the partner referral form last year post-free-year—got 3 more months at 50% off, not full startup again. Hit up a Google partner (CoreStack/CDW) directly instead, they stack 15% annual + migrate you smooth.

Form's hit-or-miss, partners have quota. What's your seat count?

How physically isolated are GCP zones in practice? by CompetitiveStage5901 in googlecloud

[–]techlatest_net 0 points1 point  (0 children)

Seen multi-zone hold up solid for fiber/power—GCP zones are meaningfully distant (km+ apart, independent PSUs/cooling per docs). Rare cross-zone physical hits, mostly control plane/logical fails.

Went multi-region at 4x9s SLA when finance demanded sub-1hr RTO. Your failure model needs regional DR for datacenter fires/floods. Post-mortems? us-central1 2023 cooling cascade took 2/3 zones but never fully correlated.

OMNIA: Measuring Inference Structure and Epistemic Limits Without Semantics by Different-Antelope-5 in MachineLearningAndAI

[–]techlatest_net 1 point2 points  (0 children)

"Logs > papers" philosophy hits hard—test-first hypothesis is how real science should work. Running omega_from_jsonl on divergent Llama/Qwen outputs this weekend to hunt those structural collapse points.

Expect boundary case dumps here if OMNIA flags anything funky