Cloud Computing

Shipping features to production just got easier with new feature flags in AppLifecycle Manager

Many development teams are familiar with the hesitation that comes right before pushing a new feature live. As AI helps developers write code faster, the gap between rapid code generation and safe production deployment continues to grow. Feature flags offer a practical way to manage this risk by separating the act of deploying code from

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AI Studio unlocks full-stack vibe coding with Cloud Run, Firebase, and Cloud SQL, no credit card required

At Google I/O 2026, we announced  updates to the integration between Google AI Studio and Google Cloud:  New users can deploy up to two full-stack applications to the Google Cloud Starter Tier, no billing account required An expanded choice of databases: Firestore for non-relational data, and Cloud SQL as a new relational database option Tight

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Cyber resilience on AWS: A reference approach for recovery from ransomware and destructive events

Cyber resilience is the ability to recover workloads to a known-good state after an adversary has affected the environment. Prevention works to keep threat actors out and detection works to find them quickly. Cyber resilience focuses on recovery: restoring a trustworthy environment when backups, credentials, or parts of the infrastructure can no longer be assumed

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Benchmark and optimize LLMs on-device with AI Edge Portal

LLMs have become more powerful at smaller sizes, but deploying them to edge devices like smartphones remains a massive challenge. Today, developers have to optimize across a sprawling combination of accelerators, operating systems, and countless System-on-a-Chip (SoC) configurations, often relying on manual testing with just a handful of devices. Google AI Edge Portal helps solve

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