---
title: "The Developer Show — TL;DR 088"
description: "The Google Developer Show, episode 088. Topics include Resonance Audio, Fast Pair, Cloud SQL for PostgreSQL, GCP Mumbai region, Eager Execution for TensorFlow, and Firebase Predictions Beta."
doc_version: "1.0"
last_updated: "2017-11-15"
canonical: "https://timothyjordan.com/blog/2017/11/15/DevShow-088.html"
---
# The Developer Show — TL;DR 088

_Published November 15, 2017_

> The Google Developer Show, episode 088. Topics include Resonance Audio, Fast Pair, Cloud SQL for PostgreSQL, GCP Mumbai region, Eager Execution for TensorFlow, and Firebase Predictions Beta.

---

The Developer Show is where you can stay up to date on all the latest Google Developer news, straight from the experts.

Have a question? Use #AskDevShow to let us know!

<figure>
  <iframe width="560" height="315" src="https://www.youtube.com/embed/ZOcol1CmVMg?si=oeEdd5hr5QxQz9aE" title="YouTube video player" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen=""></iframe>
  <figcaption>TL;DR 088 — November, 10th, 2017</figcaption>
</figure>

#### [Resonance Audio](https://developers.googleblog.com/2017/11/resonance-audio-multi-platform-spatial.html?utm_campaign=devshow_series_resonanceaudio_111017&utm_source=gdev&utm_medium=blog)

We recently released a new spatial audio software development kit called Resonance Audio. It’s based on technology from Google’s VR Audio SDK, and it works at scale across mobile and desktop platforms. [Links to the docs and GitHub are on the post](https://developers.googleblog.com/2017/11/resonance-audio-multi-platform-spatial.html?utm_campaign=devshow_series_resonanceaudio_111017&utm_source=gdev&utm_medium=blog).

#### [Fast Pair](https://android-developers.googleblog.com/2017/10/announcing-fast-pair-effortless.html?utm_campaign=devshow_series_fastpair_111017&utm_source=gdev&utm_medium=blog)

Fast Pair is a hassle-free process to pair your Bluetooth devices on all supported Android devices running Google Play services 11.7 and later with compatibility back to Marshmallow. [Check out the post for an example of how it works](https://android-developers.googleblog.com/2017/10/announcing-fast-pair-effortless.html?utm_campaign=devshow_series_fastpair_111017&utm_source=gdev&utm_medium=blog).

#### [Cloud SQL for PostgreSQL](https://cloudplatform.googleblog.com/2017/11/Cloud-SQL-for-PostgreSQL-adds-high-availability?utm_campaign=devshow_series_cloudsql_111017&utm_source=gdev&utm_medium=blog-and-replication.html)

We have added support for high availability and read replicas in Cloud SQL for PostgreSQL which will help you ensure your database workloads are fault tolerant. [Diagrams and details are on the post](https://cloudplatform.googleblog.com/2017/11/Cloud-SQL-for-PostgreSQL-adds-high-availability?utm_campaign=devshow_series_cloudsql_111017&utm_source=gdev&utm_medium=blog-and-replication.html).

#### [GCP Mumbai region](https://cloudplatform.googleblog.com/2017/10/GCP-arrives-in-India-with-launch-of-Mumbai-region.html?utm_campaign=devshow_series_gcpmumbairegion_111017&utm_source=gdev&utm_medium=blog)

The first Google Cloud Platform region in India is now open. Hosting applications in the new region can improve latency from 20–90% for end users in the area compared to hosting them in the closest in Singapore.

#### [Eager Execution for TensorFlow](https://research.googleblog.com/2017/10/eager-execution-imperative-define-by.html?utm_campaign=devshow_series_eagerexecutionfortensorflow_111017&utm_source=gdev&utm_medium=blog)

We recently introduced eager execution for TensorFlow. It’s an imperative, define-by-run interface where operations are executed immediately as they are called from Python. This makes it easier to get started with TensorFlow, and can make research and development more intuitive. [Code and all the links are on the post](https://research.googleblog.com/2017/10/eager-execution-imperative-define-by.html?utm_campaign=devshow_series_eagerexecutionfortensorflow_111017&utm_source=gdev&utm_medium=blog).

#### [Firebase Predictions Beta](https://firebase.googleblog.com/2017/11/announcing-firebase-predictions-beta.html?utm_campaign=devshow_series_firebasepredictionsbeta_111017&utm_source=gdev&utm_medium=blog)

Oh, and in case you missed it, Firebase Predictions is now available to build dynamic user groups based on predicted behavior, determined using a machine learned model. These user groups can then be targeted using Firebase Cloud Messaging, Remote Config and more. [For more on how to use Firebase Predictions for your app, check out the post](https://firebase.googleblog.com/2017/11/announcing-firebase-predictions-beta.html?utm_campaign=devshow_series_firebasepredictionsbeta_111017&utm_source=gdev&utm_medium=blog).

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