engblogs

Automated, real-time tuning of Cloud SQL for MySQL writes in the Enterprise Plus edition delivers up to 3x throughput improvements and lower latency for write-heavy OLTP workloads, with benchmarking via sysbench.

Google Cloud joins Auto-ISAC as an Innovator Partner to bolster automotive cybersecurity with shared threat intelligence, OT/IT convergence, and cloud-enabled protection for software-defined vehicles.

Rollout of Explain My Answer as a free, in-lesson feedback feature that delivers personalized, real-time explanations of grammar and vocabulary across multiple language courses.

A concise technical digest of Google Data Cloud 2025 updates, highlighting AI-powered enhancements across Looker and Gemini integration, MCP-enabled endpoints, Dataplex governance, and enterprise database improvements in BigQuery, AlloyDB, and Cloud SQL.

Ströer migrates to Databricks to unify fragmented ad data into a scalable, real-time data platform, accelerating campaign optimization, reducing costs, and enabling data-driven decision making across departments.

A practical guide to forming French questions through inversion, covering core rules, exceptions, multiple-verb constructions, reflexive verbs, and a comparison with est-ce que and intonation.

Outlines the 2026 strategic priorities for data and AI leaders, emphasizing unified, governed data estates, interoperable AI workloads and agents, flexible LLM selection, and governance as the foundation for scalable, reliable enterprise AI.

Agentforce-powered, AI-driven multi-agent incident response within Salesforce's Centralized Incident Response reduces Severity 2 resolution time by 70-80% through automated detection, hypothesis generation, and runbook execution.

Build an AI-powered website assistant with Amazon Bedrock to deliver instant, relevant answers via knowledge bases and retrieval-augmented generation, powered by a serverless, CI/CD deployed architecture.

Migrate a self-managed MLflow tracking server to a serverless MLflow App on Amazon SageMaker AI, using the MLflow Export Import tool to transfer experiments, runs, models, and metadata with automatic scaling and reduced maintenance.

Leverage BentoML’s LLM-Optimizer to automate the benchmarking and tuning of large language model inference parameters for optimized deployment on Amazon SageMaker AI, balancing latency, throughput, and cost effectively.

Explore how agentic AI enhances QA automation with Amazon Bedrock AgentCore Browser and Amazon Nova Act, enabling autonomous, scalable, and parallel UI testing for modern applications.