engblogs

Make security simpler: Introducing the Google Cloud recommended security checklist distilled from MVSP principles into a scalable, automatable, AI-ready program featuring 60 controls across six domains to harden cloud environments and accelerate risk management.

Prompts the Nano Banana image-generation suite (Gemini 3) to achieve precise, high-quality visuals, covering model capabilities, tech specs, best practices, prompting frameworks, and workflows with Veo and Lyria.

GKE gains native support for custom metrics in the Horizontal Pod Autoscaler, enabling agentless autoscaling and removing adapters and IAM complexity, while delivering lower latency and improved reliability.

From memorized phrases to independent, context-rich communication at a Duolingo Score of 60, highlighting growing grammar mastery and practical vocabulary for real-world use.

Re-architecting Cloudflare One proxy mode to run direct L4 proxying over QUIC (MASQUE) and HTTP/3, removing L3/WireGuard bottlenecks for dramatically faster, low-latency zero-trust traffic.

ARR enables zero-touch, stateful return routing to solve private IP overlap by remembering the originating tunnel for each flow within Cloudflare's Unified Routing, bypassing routing tables and returning traffic to its source site.

Dynamic Path MTU Discovery enables the Cloudflare One Client to actively probe and optimize MTU with PMTUD (Path MTU Discovery) over MASQUE/QUIC, delivering resilient, uninterrupted connections across diverse networks.

Bridge SageMaker-hosted LLMs with Strands Agents by implementing a custom model parser that translates SageMaker responses into Bedrock Messages API format for seamless BYOC deployments.

Drive organizational growth by enabling a multi-developer Amazon Lex CI/CD pipeline with isolated environments, IaC-driven provisioning via AWS CDK, lexcli exports, Docker-based builds, automated testing, and staged deployments through GitLab CI/CD.

KARL demonstrates a custom reinforcement learning approach to power a faster, cheaper enterprise knowledge agent with grounded reasoning, lower inference costs, and reduced latency.

Mojo enables Structured Mojo Kernels (composed of TileIO, TilePipeline, and TileOp) whose compile-time metaprogramming and RAII context managers decouple data movement, orchestration, and compute to deliver peak GPU performance with far less code and zero runtime overhead.

Explores powering call center analytics with Amazon Nova foundation models via Bedrock, delivering single-call and multi-call insights through Transcribe, Athena, S3, and a Streamlit UI, including sentiment analysis, protocol adherence, vulnerability detection, and AI-assisted BI queries.