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When planning an enterprise migration to Google Cloud Platform (GCP), IT leaders face a critical decision: build an internal task force to execute the move, or engage a specialized external consultancy. On paper, a Do-It-Yourself (DIY) migration often appears to be the most cost-effective route. In reality, the hidden costs of delayed timelines, over-provisioned infrastructure, and missed modernization opportunities quickly erode those initial savings.

May 2026 updates for Google Workspace. This month's rollout focuses heavily on integrating Gemini deeper into daily workflows, improving data syncing in NotebookLM, and providing administrators with more robust security and consent controls.

A successful Google Cloud data migration requires the right tools. The Database Migration Service (GCP DMS) is a fully-managed, serverless offering that streamlines the process of data migration to GCP destination databases, primarily Cloud SQL and AlloyDB for PostgreSQL.

Google has just unveiled Gemini 3.5, the latest family of models designed to combine frontier-level intelligence with real-world action. Representing a major leap forward in building capable, intelligent agents, this new generation is kicking off with the immediate release of Gemini 3.5 Flash.

When planning to migrate SQL Server to Google Cloud, specifically to Cloud SQL for SQL Server, IT leaders and data architects must strategically select the correct migration path. Options range from native Google Cloud tools like the Database Migration Service (DMS) to native SQL Server replication technologies.