DevSocial Articles · Google Cloud articles

2. Connecting BigQuery Data With AlloyDB Lakehouse Federation

   Learn how AlloyDB Lakehouse Federation connects PostgreSQL operational data with BigQuery analytics, including setup considerations, query design, filtering, and workload boundaries.

   Nidhi Sharma2d3,4051,000

3. Querying Apache Iceberg Tables Directly From AlloyDB

   Learn how to query Apache Iceberg data from AlloyDB, including workload design, SQL query patterns, permissions, performance, and data freshness considerations.

   Nidhi Sharma2d4,9221,000

4. Setting Cloud Run Spending Limits Before Your Application Goes Live

   Learn how Cloud Run billing works and how to use maximum instances, resource settings, and budget alerts to reduce unexpected Google Cloud costs.

   Ananya Desai3d4,4101,000

5. Running GPU Workloads on Google Cloud Run

   Learn how to prepare and deploy a GPU-enabled PyTorch container to Google Cloud Run, configure resources, and verify GPU availability.

   Saurav Kumar5d3,8381,000

6. Building Data Pipelines With the BigQuery Data Engineering Agent

   Learn how to configure the BigQuery Data Engineering Agent and Dataform to generate, validate, and troubleshoot a sales reporting data pipeline.

   Nidhi Kumari5d3,0831,000

7. Fixing Service Account Permission Errors in Google Cloud Application Integration

   Learn how to diagnose service account permission errors in Google Cloud Application Integration and grant the minimum IAM permissions required for workflow tasks.

   Ananya DesaiOct 302,2031,000

8. Handling Timestamp Precision in High-Write-Volume Google Cloud Bigtable Workloads

   Learn how Google Cloud Bigtable cell timestamps work, why microsecond precision can cause collisions, and how schema design preserves event ordering and data correctness.

   Bhavya SinghOct 303,3811,000

9. How to Scale Temporal Workers on Google Cloud Run Without Running Them All Day

   Learn how to run and scale Temporal Workers on Google Cloud Run using services or worker pools, with guidance on autoscaling, idle costs, and scale-to-zero limitations.

   Aarav PatelOct 282,8591,000

10. Firebase App Check: How to Protect Backend Resources From Unauthorized Clients

    Learn how Firebase App Check uses attestation tokens to protect Firebase services and custom backends from unauthorized clients, alongside authentication and security rules.

    Saurav KumarOct 282,7591,000

11. Google Opens Its Developer Knowledge API and MCP Server in Public Preview

    Learn how Google’s Developer Knowledge API and MCP server provide AI tools with current, grounded Google documentation through search, retrieval, and answer queries.

    Riya PatelOct 153,5221,000

12. BigQuery AI.AGG Is Now Generally Available

    Learn how to use BigQuery AI.AGG with Gemini and GoogleSQL to summarize and analyze large collections of unstructured text or supported image data.

    Bhavya SinghOct 144,3651,000

13. BigQuery Adds Incremental Data Transfers for PostgreSQL and ServiceNow

    Learn how BigQuery incremental transfers for PostgreSQL and ServiceNow use watermark columns and write modes to load new and updated records efficiently.

    Nidhi SharmaOct 143,9931,000

14. Google Cloud Storage Can Add AI Metadata to Images and PDFs

    Learn how Google Cloud Storage Object Enrichments uses pretrained AI models to add searchable metadata to images and PDFs, and how to configure and use the results.

    Nidhi SharmaOct 142,6601,000

15. BigQuery Generative AI Functions Now Support Gemini 4 Argon

    Learn how to use Gemini 4 Argon with BigQuery generative AI functions for SQL-based text analysis, summarization, and structured information extraction.

    Nidhi SharmaOct 144,7201,000

16. BigQuery Python UDFs Are Now Generally Available

    Learn how to create and call managed Python UDFs in BigQuery SQL, including package dependencies, runtime settings, and HTML text extraction with Beautiful Soup.

    Bhavya SinghOct 122,1581,000

17. Use Spanner Graph Algorithms to Query Connected Data

    Learn how Google Cloud Spanner Graph uses GQL and native graph algorithms for centrality, community detection, similarity, and path analysis on connected data.

    Riya PatelOct 122,8691,000

18. Google Cloud AppLifecycle Manager Adds Feature Flags for Production Releases

    Learn how Google Cloud AppLifecycle Manager Feature Flags separate deployment from release using targeted rollouts, centralized flag management, and OpenFeature evaluation.

    Nidhi SharmaOct 122,1191,000

19. Google Cloud Brings Data Agent Kit to Coding Agents Beyond Its Own IDEs

    Learn how Google Cloud Data Agent Kit uses MCP tools and agent skills to connect AI coding agents with BigQuery, databases, pipelines, and other cloud data services.

    Bhavya SinghOct 123,1551,000

20. Spanner Removes Cumulative Mutation Limits for DML Transactions

    Learn how Cloud Spanner now applies mutation limits per DML statement in read-write transactions, along with remaining transaction-size constraints and Java implementation guidance.

    Riya PatelOct 122,9281,000

21. AlloyDB's Agent-Scale Architecture Separates Workloads for Better Isolation

    Learn how AlloyDB's agent-scale architecture isolates AI agent queries from production PostgreSQL workloads while providing elastic scaling and access to fresh data.

    Niharika GuptaOct 123,1881,000

22. Cloud Run, Firebase, and Cloud SQL Come Together in Google's AI Studio

    Learn how Google AI Studio connects Cloud Run, Firebase, and Cloud SQL to support AI-assisted full-stack application development, authentication, data storage, and deployment.

    Nidhi SharmaOct 124,6921,000

23. Memorystore for Valkey 9.1 Targets Higher Throughput and Microsecond Latency

    Learn how Google Cloud Memorystore for Valkey 9.1 improves cache throughput, I/O processing, access controls, and commands, and how to interpret its performance claims.

    Riya PatelOct 124,1981,000

24. Memorystore for Valkey 9.1 Targets Higher Throughput and Lower Latency

    Google Cloud Memorystore for Valkey 9.1 adds I/O and string optimizations, new ACLs, and commands such as HGETDEL and MSETNX. Learn how the update can affect cache throughput, latency, and data operations.

    Niharika GuptaOct 112,8361,000

25. Test Apigee Proxies Locally Before Deploying Them to Google Cloud

    Learn how to test Apigee API proxies locally using routing, transformation, error-handling, and mock-backend tests before validating them in Google Cloud.

    Nidhi SharmaOct 94,0261,000

26. Google Cloud's EKS-to-GKE Migration Agent Uses Guardrails to Validate Changes

    Learn how to assess and validate EKS workloads for migration to GKE, including identity, networking, storage, ingress, and cloud-specific dependencies.

    Nidhi SharmaOct 93,0001,000

27. AlloyDB Native BM25 Ranking for Full-Text Search

    Learn how to use AlloyDB's pg_textsearch extension for native BM25-ranked full-text search in PostgreSQL, including setup, indexing, and hybrid retrieval considerations.

    Niharika GuptaOct 94,3421,000

28. Google Cloud Device Run API Can Fetch 500 Automation Sessions at Once

    Learn how to retrieve up to 500 Google Cloud Device Run automation sessions per request and design a paginated C# workflow for mobile test reporting.

    Ananya DesaiOct 93,4851,000

29. Use Spanner Queues for Transactional Messaging in Agent Workflows

    Learn how to use Google Cloud Spanner transactions to persist workflow state and queue messages atomically, with worker leases, retries, and idempotent external actions.

    Riya PatelOct 92,0281,000

30. Build Delta Lake Imports With Dataflow Job Builder

    Learn how to use Google Cloud Dataflow Job Builder to import Delta Lake tables from Cloud Storage into Apache Iceberg Lakehouse tables, including prerequisites and schema considerations.

    Niharika GuptaOct 93,9971,000

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