amy + oss   8

This project implements a gRPC server that satisfies the Cloud Pub/Sub API as an emulation layer on top of an existing Kafka cluster configuration. The emulator is exposed as a standalone Java application with a mandatory configuration file passed as an argument at runtime. It is fully compatible with the latest versions of the Google Cloud Client libraries and is explicitly tested against the Java version.
google  oss  gcp  pubsub 
april 2018 by amy
Spinnaker 1.0 Enables Continuous Delivery of Cloud Code Updates
Google has released a new version of Spinnaker, an open-source software release management platform for deploying application code to the cloud.

Video streaming giant Netflix originally developed the technology to enable continuous delivery of software updates to its hosted applications and services on Amazon's cloud platform.

In 2014 Netflix began working with Google and a couple of other companies to make Spinnaker a multi-cloud platform. A year later it released the technology to the open source community. Besides Netflix and Google, other companies using Spinnaker currently to speed up cloud application delivery and deployment include Target, Waze and Oracle.

Spinnaker 1.0, which Google announced this week, builds on the work that has been put into the technology thus far. It is a continuous delivery platform that is designed to make it easier for organizations to deliver applications and software code to Google's cloud platform and to cloud services from other providers as well.
oss  spinnaker  netflix  google 
june 2017 by amy
Schedule: All sessions: O'Reilly Open Source Convention: OSCON, May 8 - 11, 2017 in Austin, TX
RT @tensorflow: Going to @oscon? Swing by @TensorFlow Day on May 10th for discussions, presentations, and hands-on time:
TensorFlow  oss  oscon 
april 2017 by amy
Google Open Source Blog: Introducing Cartographer
We are happy to announce the open source release of Cartographer, a real-time simultaneous localization and mapping (SLAM) library in 2D and 3D with ROS support.
SLAM algorithms combine data from various sensors (e.g. LIDAR, IMU and cameras) to simultaneously compute the position of the sensor and a map of the sensor’s surroundings.
google  oss 
october 2016 by amy

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