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SPEAKER 1: Thank you, for joining us today.
We're so excited.
We've seen incredible momentum over the last year.
We now have over 1.2 million apps
actively using Firebase every month,
including many global partners that you may recognize.
We appreciate so many of you are trusting us with your apps,
whether you're a sole developer or working on large teams.
We're committed to helping developers at companies
of all sizes to succeed.
SPEAKER 2: We feel that machine learning has the potential
to unlock so many interesting challenges.
That's why we're launching ML Kit into beta,
bringing the power of machine learning right into your app
on Android and iOS.
ML Kit provides five out-of-the-box APIs,
including text extraction, face detection, barcode scanning,
image labeling, and landmark detection.
The base APIs let you easily build ML-powered experiences
without needing extensive background in machine learning.
These APIs are both available on-device and in the cloud.
For those with advanced needs, ML Kit
also lets you upload your own custom TensorFlow Lite models
and serves them through Google's powerful global infrastructure.
So your app can dynamically retrieve models
and evaluate them on-device without having to bundle
the model with the app binary.
SPEAKER 3: At last I/O, we launched Firebase Performance
Monitoring, our tool for getting performance insights
from your user's perspective.
Over the last year, we battle tested the SDK,
and we're excited to announce that Performance Monitoring is
graduating out of beta today.
Along with this announcement comes
a few new exciting features.
Today, we're announcing the addition of the new issue speed
where we do the digging for you.
You'll find it at the top of the Performance Monitoring
dashboard.
And there, we highlight issues that you
should be paying attention to, such as slow app start
time or failing network calls.
We're also now collecting more metrics out
of the box than ever before.
On top of app start time and network requests,
we now have data on slow and frozen frames.
What's cool here is that we collect this information
automatically for every page in your app.
At Firebase, it's always been vitally
important that our products work cross-platform.
In that spirit, today, we're expanding Firebase Test Lab
to include iOS.
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Now, Test Lab provides you with the physical and virtual
devices that allow you to run tests that simulate
actual usage environment.
With the addition of Test Lab for iOS,
we help you get your app into a high quality state on both iOS
and Android before you even release it into the app store.
We're excited that Test Lab is now cross-platform.
And iOS support will be rolling out over the coming months.
If you'd like to get your hands on it early and be
an early tester, please go to the Firebase console
or use this URL to get on the waiting list.
SPEAKER 4: As we talked to other app teams
about how they're solving these problems,
we heard one thing consistently repeated
about the growth process.
It's all about experimentation.
You can't afford to rely purely on intuition.
Instead, it's much more effective to run an experiment
and let data drive product decisions.
It starts with Google Analytics for Firebase,
which helps you observe user behavior.
And last year, we added the ability
to see anonymized analytics for individual users
with both Debug view and Stream view.
And now, we're excited to give you the ability
to level up and see aggregated analytics
for all apps in your project.
So if you have an iOS version and an Android version
of your app, you can now see how daily active users, revenue,
and other metrics are trending across your business.
This means you can now analyze data on three levels
across all your apps, for an individual app, and even
an individual user.
SPEAKER 1: On behalf of the Firebase team,
I want to say thank you to all of you.
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