---
title: "Google Cloud"
description: "61 posts about Google Cloud, summarised, each linking to the original."
---

# Google Cloud
> 61 posts about Google Cloud, summarised, each linking to the original.

## Articles

### [ML Development in VS Code with Google Cloud Power: Workbench Extension Now Available](https://yomu.fyi/post/ml-development-in-vs-code-with-google-cloud-power-workbench-extension.md)
- Company: [Google](https://yomu.fyi/company/google.md)
- Author: Andrii Lobanov, Alex Kallaur, Diego Granados
- Published: Jul 1, 2026
- Type: Announcement

Google Cloud has launched the Google Cloud Workbench Notebooks extension for VS Code, allowing developers to use managed cloud notebook environments from a local IDE. Workbench, described as a managed Jupyter platform optimized for data science, can provide access to Google Cloud's AI-optimized infrastructure and high-performance compute when local machines need more capacity. The workflow connects through VS Code's Extensions view, the Jupyter extension, and a notebook's Select Kernel menu, where users choose Google Cloud, Workbench, authenticate, select a project, and choose an active instance. The extension runs notebooks on Workbench instances, preserves local settings and extensions, is fully open-sourced, and is available through the VS Code Marketplace, with GitHub contributions invited.


### [10 Years of MongoDB Atlas: Built for What’s Next](https://yomu.fyi/post/10-years-of-mongodb-atlas-built-for-what-s-next.md)
- Company: [MongoDB](https://yomu.fyi/company/mongodb.md)
- Author: Ben Cefalo
- Published: Jun 25, 2026
- Type: Announcement

Launched in 2016, MongoDB Atlas was designed to bring MongoDB's developer experience to the cloud while eliminating operational overhead for production environments. Over ten years, Atlas expanded beyond a managed database into a multi-cloud data platform that supports multi-document ACID transactions, Queryable Encryption, native search, and stream processing. The platform introduced Atlas Vector Search in 2023 and acquired Voyage AI in 2025 to embed advanced embedding and reranking models natively. These integrated capabilities address the requirements of retrieval-augmented generation and autonomous AI agents without relying on disparate vector stores or sync pipelines. Atlas now serves more than three trillion queries daily across over 125 AWS, Google Cloud, and Microsoft Azure regions for nearly 70,000 customers.


### [GCP Pub/Sub connector for ClickPipes is now in Private Preview](https://yomu.fyi/post/gcp-pub-sub-connector-for-clickpipes-is-now-in-private-preview.md)
- Company: [Clickhouse](https://yomu.fyi/company/clickhouse.md)
- Published: Jun 17, 2026
- Type: Announcement

ClickHouse has announced a GCP Pub/Sub connector for ClickPipes, now in Private Preview, to stream GCP infrastructure logs, application events, and operational signals into ClickHouse Cloud in real time. Previously, routing data from Pub/Sub into ClickHouse required GCS or a Dataflow pipeline; the connector instead manages subscription lifecycle, schema inference, and message delivery after a topic and target table are configured. It supports JSON, Avro, and Protobuf, Pub/Sub Schema Registry integration, automatic decompression, attribute-based filtering, and start positions of latest, earliest, or a specific timestamp. ClickPipes supports horizontal and vertical scaling, configurable replicas, automatic retries, built-in metrics and logs, and programmatic management through OpenAPI and the ClickHouse Terraform Provider. The connector is available upon request and free during Private Preview, with access offered through a waitlist or a ClickHouse Cloud account manager.


### [Quick: An internal hosting platform for the AI era](https://yomu.fyi/post/quick-an-internal-hosting-platform-for-the-ai-era.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Jun 10, 2026
- Type: Explainer

Shopify built Quick to make internally created prototypes, dashboards, tools, and games easier to share than deploy, giving employees a secure URL for a folder of HTML and assets. Launched internally in July 2025, it places sites behind Identity-Aware Proxy, serves bucket content through NGINX and gcsfuse, and deploys with a wrapper around gcloud rsync. A service in front of CloudSQL provides database and realtime APIs, while server-held credentials support calls to Shopify’s AI proxy; file uploads, BigQuery access, WebSockets, and employee identity are also available. Quick now hosts more than 50,000 sites, has been used by over half of Shopify employees, and runs on one $200-per-month VM, with constraints, rate limiting, and a migration from Node to Go supporting its operation.


### [Interoperability between Unity Catalog and Google BigQuery via catalog federation](https://yomu.fyi/post/interoperability-between-unity-catalog-and-google-bigquery-via-catalog.md)
- Company: [Databricks](https://yomu.fyi/company/databricks.md)
- Author: John Spencer, Jason Reid
- Published: Apr 29, 2026
- Type: Announcement

Databricks and Google Cloud announce bidirectional catalog federation that lets customers access the same data from Unity Catalog or BigQuery without duplication. The interoperability uses Apache Iceberg REST catalog APIs, enabling both platforms to read and write the same tables through a common open interface. Google Cloud's catalog federation is in preview for reading Unity Catalog-managed tables from BigQuery, while Google Cloud's Lakehouse federation is in private preview for Databricks users to govern and read foreign Iceberg tables. Unity Catalog's policies, fine-grained access controls, and lineage tracking apply to federated data, and users can query it with Genie using natural language. The announcement positions open standards as a path to interoperability across data platforms and previews future catalog metadata exchange through Iceberg REST catalog APIs.


### [ClickHouse at Google Cloud Next '26](https://yomu.fyi/post/clickhouse-at-google-cloud-next-26.md)
- Company: [Clickhouse](https://yomu.fyi/company/clickhouse.md)
- Author: ClickHouse
- Published: Apr 27, 2026
- Type: Announcement

ClickHouse announced several product updates and integrations designed to deepen native compatibility with Google Cloud. Migration of ClickHouse Cloud to Google Axion ARM-based processors demonstrated a 30 to 55 percent query speed increase and reduced data load times from 64 to 26 seconds on ClickBench benchmarks. An integration with Google Lakehouse Runtime Catalog enables querying Iceberg tables on Google Cloud Storage via the DataLakeCatalog engine without data movement. Furthermore, Bring Your Own Cloud reached general availability on Google Cloud Marketplace, and ClickPipes added an unordered mode using Pub/Sub notifications for GCS ingestion. Google Antigravity integrated ClickHouse through an MCP server to translate natural language into SQL and generate interactive React charts.


### [ClickHouse integrates with Lakehouse Runtime Catalog](https://yomu.fyi/post/clickhouse-integrates-with-lakehouse-runtime-catalog.md)
- Company: [Clickhouse](https://yomu.fyi/company/clickhouse.md)
- Author: Melvyn Peignon
- Published: Apr 22, 2026
- Type: Announcement

ClickHouse 26.2 introduced a beta integration with Google's Lakehouse Runtime Catalog, enabling direct queries on Google Cloud Lakehouse Apache Iceberg tables without data movement or metadata syncing. The system communicates with Google Cloud Storage through the Iceberg REST Catalog endpoint at BigLake using Google Application Default Credentials for OAuth authentication. Users create a database using the DataLakeCatalog engine configured either with a local credentials JSON file or with explicit inline OAuth parameters. Once connected, analysts can query external Iceberg tables directly or ingest datasets into native MergeTree tables for repeated, low-latency workloads. Upcoming enhancements will add write capabilities for Iceberg tables and dedicated connection management tools inside the ClickHouse Cloud interface.


### [ClickHouse Cloud on Google Cloud Now Powered by Google Axion Processors: 30–55% Faster Queries, ~15% Fewer Compute Credits](https://yomu.fyi/post/clickhouse-cloud-on-google-cloud-now-powered-by-google-axion-processor.md)
- Company: [Clickhouse](https://yomu.fyi/company/clickhouse.md)
- Author: ClickHouse
- Published: Apr 22, 2026
- Type: Announcement

ClickHouse Cloud transitioned its Google Cloud infrastructure from x86 N2D instances to Arm-based Google Axion C4A instances to resolve CPU throttling and performance ceilings under peak query loads. The migration leverages Axion's dedicated physical cores per vCPU, higher memory bandwidth, local SSDs, and improved thermal and clock frequency stability. In automated ClickBench testing across 100 million rows, every query in the 43-query benchmark improved by 30% to 55%, while data load times decreased by approximately half. A production analysis of 38 migrated customer services demonstrated an average 15% reduction in compute credits consumed per query across diverse production workloads. ClickHouse Cloud executed this rollout using automated validation checks, scheduled maintenance windows, and capacity coordination with Google Cloud.


### [ClickHouse expands strategic collaboration with Google Cloud, bringing deeper integration, cloud flexibility, and next-generation performance](https://yomu.fyi/post/clickhouse-expands-strategic-collaboration-with-google-cloud-bringing.md)
- Company: [Clickhouse](https://yomu.fyi/company/clickhouse.md)
- Author: Tanya Bragin
- Published: Apr 21, 2026
- Type: Announcement

ClickHouse announced an expanded strategic collaboration with Google Cloud introducing four core architectural milestones. First, native integration with Google Cloud Lakehouse allows direct sub-second queries across data lakes and ClickHouse deployments without ETL pipelines or data duplication. Second, the Bring Your Own Cloud deployment model lets organizations run managed ClickHouse Cloud inside their own Google Cloud Virtual Private Cloud to retain data sovereignty and network controls. Third, ClickHouse Cloud is migrating automatically to Google's custom Arm-based Axion processors, boosting query throughput and cost efficiency for analytical workloads without requiring application changes. Finally, a new ClickHouse MCP server integration connects ClickHouse with Google Antigravity to enhance developer and analyst workflows.


### [Databricks on Google Cloud: Innovate faster. Smarter. Together.](https://yomu.fyi/post/databricks-on-google-cloud-innovate-faster-smarter-together.md)
- Company: [Databricks](https://yomu.fyi/company/databricks.md)
- Author: Taylor Hoss, Sarah Jack
- Published: Apr 16, 2026
- Type: Announcement

Databricks and Google Cloud are presenting their partnership at Google Cloud Next ’26 as a route from governed enterprise data to production AI, including autonomous agents and modernized workloads. In 2025, Databricks became a first-party provider of Gemini models, giving users direct API access to build, customize, and deploy agentic AI on governed data across all three Databricks clouds without moving data or managing infrastructure. The post reports more than 55% quarter-over-quarter growth in Gemini adoption, 85% year-over-year growth in Google Cloud consumption, and 4,000-plus Marketplace sign-ups, alongside support for Google Axion processors. Customer examples include Databricks SQL Serverless savings for Digital Turbine, faster Marketplace procurement for Dun & Bradstreet, regional compliance in Saudi Arabia and Brazil, and 30% faster analytics delivery through Lakeflow-powered pipelines. At the event, Databricks is offering demos, talks, expert sessions, and a free $400 trial through Google Cloud Marketplace.


### [ClickHouse BYOC on Google Cloud  now Generally Available](https://yomu.fyi/post/clickhouse-byoc-on-google-cloud-now-generally-available.md)
- Company: [Clickhouse](https://yomu.fyi/company/clickhouse.md)
- Author: Aashish Kohli, Yiyang Shao
- Published: Mar 31, 2026
- Type: Announcement

ClickHouse Bring Your Own Cloud is now generally available on Google Cloud across all public ClickHouse Cloud Google regions without requiring a waitlist. The architecture separates the ClickHouse-managed control plane from the customer data plane, which runs entirely within the user Google Cloud project on Google Kubernetes Engine and Google Cloud Storage. An outbound-only, encrypted Tailscale zero-trust tunnel restricts control plane communication strictly to orchestration traffic, ensuring query data never leaves the customer environment. Deployment involves a three-step Terraform setup that establishes least-privilege IAM roles, configures VPC networking, and automates cluster provisioning. ClickHouse manages database and infrastructure maintenance through ArgoCD, employing a make-before-break strategy to add updated replicas before decommissioning older nodes across customizable release channels.


### [Unordered mode for GCS ClickPipes is now available](https://yomu.fyi/post/unordered-mode-for-gcs-clickpipes-is-now-available.md)
- Company: [Clickhouse](https://yomu.fyi/company/clickhouse.md)
- Author: Marta Paes
- Published: Mar 16, 2026
- Type: Announcement

ClickHouse Cloud has added unordered mode to its Google Cloud Storage (GCS) ClickPipes connector, enabling continuous data ingestion regardless of file naming or arrival sequence. Standard GCS ClickPipes rely on polling every 30 seconds and require files to arrive in strict lexicographical order, which causes out-of-order data and backfills to be ignored. Unordered mode replaces polling by consuming OBJECT\_FINALIZE notifications from Google Cloud Pub/Sub whenever objects land in a bucket. State tracking is managed through a metadata store, and the connector automatically reprocesses batches upon failure while maintaining exactly-once insertion guarantees. Setup requires configuring a Pub/Sub topic and bucket notifications via tools like gcloud, followed by configuring the ClickPipe via the console or Terraform provider.


### [SkyPilot at Shopify: Multi-cloud GPUs without the pain](https://yomu.fyi/post/skypilot-at-shopify-multi-cloud-gpus-without-the-pain.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Jan 26, 2026
- Type: Explainer

Shopify uses SkyPilot to run machine-learning training workloads across GPU clusters on Nebius and GCP, addressing scarce hardware, fragmented capacity, and provider-specific interfaces. Persistent Kubernetes clusters remain managed by Shopify, while SkyPilot launches jobs and a company plugin routes requests, validates labels, injects configuration, and applies organizational policies. H200 workloads go to Nebius for InfiniBand-equipped distributed training, while L4 and CPU-only jobs go to GCP; labels also connect jobs to cost ownership, Kueue quotas, priority classes, and development-environment rules. The plugin automatically configures InfiniBand access, shared caches, and temporary storage, reducing manual setup and speeding repeated workloads. The resulting YAML-based interface preserves direct resource control while hiding cloud-selection decisions, giving teams common workflows as providers, prices, and GPU availability change.


### [How we prepare Shopify for BFCM](https://yomu.fyi/post/how-we-prepare-shopify-for-bfcm.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Nov 20, 2025
- Type: Explainer

Shopify’s BFCM readiness program addresses the challenge of operating critical commerce infrastructure at traffic levels informed by 2024 records, while preparing APIs with no prior holiday-traffic history. Starting in March, teams combined capacity planning on Google Cloud, an infrastructure roadmap, risk assessments, chaos-engineering Game Days, and a Resiliency Matrix covering failure modes, recovery objectives, runbooks, and on-call coverage. Genghis load tests and Toxiproxy network faults ran across three GCP regions, while five April–October scale tests exercised browsing, checkout, analytics, webhooks, regional failover, and cascading failures; testing reached 146 million requests per minute and a p99 target of 200 million. The work exposed and addressed Kafka partition, memory, timeout, routing, queueing, and failover issues, while the operational plan adds monitoring, 24/7 incident coverage, merchant communications, live tuning, and a post-BFCM review.


### [Building for an Open Future - our new partnership with Google Cloud](https://yomu.fyi/post/building-for-an-open-future-our-new-partnership-with-google-cloud.md)
- Company: [Hugging Face](https://yomu.fyi/company/hugging-face.md)
- Author: Jeff Boudier, Simon Pagezy
- Published: Nov 13, 2025
- Type: Announcement

Hugging Face and Google Cloud announced an expanded strategic partnership designed to streamline the deployment and management of open models on Google Cloud infrastructure. Prompted by a tenfold increase in Hugging Face usage on Google Cloud over three years, the collaboration introduces a joint CDN Gateway using Hugging Face Xet technology to cache models and datasets directly on Google Cloud. This caching mechanism aims to shorten download times, strengthen model supply chain resilience, and accelerate time-to-first-token across Vertex AI, Google Kubernetes Engine, Cloud Run, and Compute Engine virtual machines. Hugging Face plans to integrate native library support for Google Cloud TPUs, lower instance prices on Inference Endpoints, and enhance Hub security scanning via VirusTotal, Google Threat Intelligence, and Mandiant.


### [Google Cloud C4 Brings a 70% TCO improvement on GPT OSS with Intel and Hugging Face](https://yomu.fyi/post/google-cloud-c4-brings-a-70-tco-improvement-on-gpt-oss-with-intel-and.md)
- Company: [Hugging Face](https://yomu.fyi/company/hugging-face.md)
- Author: Jiqing.Feng, Matrix Yao, Ke Ding, Ilyas Moutawwakil
- Published: Oct 16, 2025
- Type: Benchmark

Intel and Hugging Face benchmarked OpenAI GPT OSS text generation to evaluate performance on Google Cloud C4 virtual machines powered by Intel Xeon 6 processors against previous-generation C3 instances. The benchmark evaluated the unsloth/gpt-oss-120b-BF16 Mixture of Experts model across batch sizes from 1 to 64 using bfloat16 precision, static KV cache, and SDPA attention. To eliminate redundant computation, Hugging Face merged an optimization directing each expert sub-network to process only its routed tokens rather than all tokens. Testing demonstrated that C4 instances deliver 1.4x to 1.7x higher throughput per vCPU compared to C3 instances. At a batch size of 64, C4 achieved a 1.7x Total Cost of Ownership improvement alongside lower hourly pricing.


### [Cars24 Improves Search For 300 Million Users With MongoDB Atlas](https://yomu.fyi/post/cars24-improves-search-for-300-million-users-with-mongodb-atlas.md)
- Company: [MongoDB](https://yomu.fyi/company/mongodb.md)
- Author: Nick Bell
- Published: Oct 12, 2025
- Type: Problem & solution

Online car marketplace Cars24 previously operated a dual architecture where relational databases like Postgres synchronized data into separate search engines like Elasticsearch. As service offerings expanded globally for 300 million users, multiple engineering teams piping data into a single search index caused severe synchronization challenges, operational overhead, and developer friction. To simplify this infrastructure, Cars24 migrated to MongoDB Atlas hosted on Google Cloud, utilizing integrated Apache Lucene-powered MongoDB Atlas Search directly within the database layer. This architectural shift eliminated synchronization pipelines while accelerating search feature delivery through a unified API. Cars24 also replaced its ArangoDB geospatial search deployment with MongoDB Atlas, achieving robust multi-document ACID transactions across shards and cutting operational costs by 50%.


### [Celebrating Excellence: MongoDB Global Partner Awards 2025](https://yomu.fyi/post/celebrating-excellence-mongodb-global-partner-awards-2025.md)
- Company: [MongoDB](https://yomu.fyi/company/mongodb.md)
- Author: Olivier Zieleniecki
- Published: Sep 18, 2025
- Type: Announcement

MongoDB announced the recipients of its 2025 Global Partner Awards, recognizing cloud providers, systems integrators, and technology vendors for driving enterprise modernization and artificial intelligence adoption. Microsoft earned Global Cloud Partner of the Year for joint integrations linking MongoDB Atlas on Azure with native Microsoft services across healthcare, telecommunications, and financial services. Amazon Web Services received the Global AI Cloud Partner award, highlighted by a joint deployment with Novo Nordisk that reduced a key workflow from twelve weeks to ten minutes using Amazon Bedrock and Atlas. Confluent was named Global Tech Partner of the Year with over 550 joint customer deployments focused on event-driven streaming and multi-agent systems alongside LangChain. Additional honorees included Google Cloud, Accenture, BigID, Pureinsights, gravity9, IBM, and Alibaba Cloud for their contributions across public sector solutions, database-as-a-service offerings, and generative AI frameworks.


### [庆祝卓越：MongoDB 全球合作伙伴奖 2025](https://yomu.fyi/post/mongodb-2025.md)
- Company: [MongoDB](https://yomu.fyi/company/mongodb.md)
- Author: Olivier Zieleniecki
- Published: Sep 18, 2025
- Type: Announcement

MongoDB announced its 2025 Global Partner Award recipients to recognize organizations driving AI adoption, legacy system modernization, and collaborative market expansion. Microsoft earned Global Cloud Partner for Azure integrations, while Amazon Web Services took Global AI Cloud Partner after assisting Novo Nordisk in cutting a key workflow from twelve weeks to ten minutes with Amazon Bedrock. Google Cloud received the Global Cloud GTM Partner award, and Confluent was named Global Technology Partner with over 550 joint deployments. LangChain and Pureinsights received honors for their integrations supporting retrieval-augmented generation and search solutions. Additional awards celebrated Accenture, BigID, gravity9, IBM, and Alibaba Cloud for their enterprise and public-sector impact.


### [우수성을 기념하기: 2025년 MongoDB 글로벌 파트너 어워드](https://yomu.fyi/post/2025-mongodb.md)
- Company: [MongoDB](https://yomu.fyi/company/mongodb.md)
- Author: Olivier Zieleniecki
- Published: Sep 18, 2025
- Type: Announcement

MongoDB announced the recipients of its 2025 Global Partner Awards to recognize partner contributions across cloud modernization, artificial intelligence, and enterprise integration. Microsoft received the Global Cloud Partner award for Azure integrations, while Amazon Web Services secured the Global AI Cloud Partner award following joint generative AI implementations such as reducing workflow durations for Novo Nordisk. Google Cloud earned the Global Cloud GTM Partner distinction through shared sales development programs, and Accenture took Global SI Partner honors after establishing a dedicated engineering Center of Excellence. Confluent was named Global Tech Partner with more than 550 joint streaming deployments, and LangChain was recognized as Global AI Tech Partner for vector search and agentic frameworks. The awards demonstrate partner-led technical solutions spanning distributed databases, data streaming pipelines, and scalable enterprise cloud architectures.


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