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ExternalMobile Development
Android Developers Blog

Introducing Fast and Reliable Wireless Debugging with Android Debug Bridge (ADB) Wi-Fi 2.0

Posted by Steven Jenkins, Product Manager, Sherif Eid, Senior Software Engineer, and Fabien Sanglard, Staff Software Engineer, Android Studio Wireless debugging on Android is now faster, more reliable, and easier to set up than ever. With ADB Wi-Fi 2.0, we’ve introduced a new server stack and smarter network handling to directly address developer feedback around usability gaps. How ADB Wi-Fi 2.0 Improves Wireless Debugging To ensure ADB Wi-Fi 2.0 is even more reliable, we reworked all

Android Developers BlogRead original
ExternalCloud
Google Cloud Blog

Spanner: Removing cumulative mutation limits for DML transactions

Spanner is Google Cloud’s no-compromise operational database that gives you the horizontal scale and always-on availability of a modern distributed system along with the rich feature set and familiar ecosystem of a relational database. Innovators in industries like banking, retail, media and entertainment, and AI infrastructure rely on Spanner today for their most critical workloads. We’re excited to announce a new, flexible way to handle larger, more complex transactions in Spanner, simplifying

SpannerDatabases
Google Cloud BlogRead original
ExternalCloud
Google Cloud Blog

How Airtel delivered its flawless Indian Premiere League 2026 cricket broadcasts

For the millions of fervent fans of the Indian Premiere League (IPL), being able to count on a flawless live streaming cricket experience is never up for debate. For Airtel, producing league TV broadcasts with some of the world's most massive concurrent viewership, dropped packets and buffering are simply not options. During the IPL 2026 season, Airtel partnered with Google Cloud to manage this digital delivery. Across 74 matches, the streaming infrastructure delivered several hundred petabytes

AI & Machine LearningNetworkingCustomers
Google Cloud BlogRead original
ExternalAI
AWS Machine Learning Blog

Simplify and support your TorchServe workloads using Ray Serve Deep Learning Containers

TorchServe is no longer maintained, leaving teams to own the entire GPU inference stack. The AWS Ray Serve Deep Learning Container is a supported, pre-tested container with the framework, GPU drivers, and serving layer already assembled. This post walks through deploying a vision-language model on Amazon EKS using the Ray Serve DLC on a single GPU node.

Intermediate (200)Technical How-to
AWS Machine Learning BlogRead original

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