The Google Maps Platform Android SDK supports extensions for reactive programming, which helps you write code to handle asynchronous operations.

Write reactive and responsive mapping applications with Google Maps Platform

In mobile apps, asynchronous events can happen at any point in time: user touch events, waiting for network calls to complete, or receiving push notifications, to name a few. As an app developer, accounting for these events and composing them with other asynchronous events can be challenging. Reactive programming is an alternative to passing callbacks for different events and helps simplify the process of working with asynchronous events. In reactive programming, events are modeled as a stream, emitting items over time.

https://youtube.com/watch?v=1TmJvOZfBVQ%3Fenablejsapi%3D1%26

There are two libraries you can use to write reactive code: Kotlin Flows and RxJava. The next two videos show you how to use each one.

Writing reactive and responsive mapping applications using Kotlin

If you’re a Kotlin developer looking to use Coroutines and Flows, the KTX library allows you to use Kotlin Flows to receive events. The Maps KTX library includes extension functions that return Kotlin Flow objects, so you can listen to events in a reactive manner. Unlike suspending functions, which return a single value, Kotlin Flows can return several values over time. For example, you can use a Flow to receive camera event changes over time. To get started using Kotlin Flows in your app, include the Maps KTX library in the dependencies section in your build.gradle file.

https://youtube.com/watch?v=Cotx1ZmEYg8%3Fenablejsapi%3D1%26

Creating reactive maps on Android with RxJava

Integrate Google Maps Platform SDKs with popular Android library RxJava. RxJava is the Java implementation of Reactive Extensions, which is a library for composing asynchronous and event-based programs using observable sequences. One thing RxJava does is allows you to convert callback-based asynchronous code into a chain of transformations. Learn how this works and the other ways you can use RxJava in the third video in this series.

https://youtube.com/watch?v=AgGE7fAMrdA%3Fenablejsapi%3D1%26

​​We hope you learn more about reactive programming concepts to help you build responsive and reactive mobile apps in this three-part YouTube series. Have ideas for helpful videos you’d like to see on our channel? Leave a comment on any of our videos. And don’t forget to subscribe to our YouTube channel for the latest updates, tutorials, customer stories, and more.

For more information on Google Maps Platform, visit our website.

According to a recent Accenture report, large businesses deploy an average of 500 different applications. This trend shows no signs of slowing down, with the majority of respondents signaling plans to acquire even more applications. No surprise, all these applications present a number of integration challenges, which the impending wave of generative AI in software development only promises to further intensify.

Two years ago, we introduced Apigee Integration as an add-on capability to Apigee API Management. From conversations with customers, it’s become clear that you want to access these capabilities directly from the Google Cloud console. Today, we’re announcing the general availability of Application Integration, a standalone Integration Platform as a Service (IPaaS) designed to help you connect your applications visually, with no code. Best of all, you can now get started with Application Integration with no upfront financial commitment, even if you’re not an existing Apigee customer. 

What is Application Integration?

As a cloud-native product, Application Integration helps you automate business processes by connecting any application — both home-grown and third-party SaaS — with simple point-and-click configurations, so you can quickly and easily construct, maintain, and scale your integrations. Application Integration offers the following features:

Visual integration designer: An Intuitive drag-and-drop interface allows anyone to build workflows with no complex coding or manual processes. With the visual integration designer, anyone can simply drag-and-drop individual control elements (such as edges, forks, and joins) to build custom integration patterns of any complexity.

Plug-and-play connectors: A library of 75+ pre-built connectors makes it easy to connect to a number of Google Cloud services (e.g., BigQuery, Pub/Sub) and many third-party applications, including Salesforce, MongoDB, and NetSuite. 

Automated triggers and transformations: With built-in triggers, you can execute integrations on an API call, Cloud Pub/Sub event, Salesforce events, or using Cloud Scheduler. An intuitive data mapping editor and comprehensive mapping functions enable you to address complex data transformation requirements in no time.

Unified platform: Whether you’re building APIs in Apigee, ingesting data using Pub/Sub, receiving events from Cloud Storage using EventArc, or something else, Application Integration works seamlessly with other integration services to provide comprehensive capabilities for your use case. 

Customer praise for Application Integration

In the enterprise, different teams adopt applications to support a task in their business processes. However, the need for information exchange among these teams can spawn complex integrations that require a lot of arduous planning.

Application Integration abstracts these development complexities, so customers  can focus on building value. OVO Energy uses Application Integration to automate communications in their critical business processes. “We were looking for an integration solution that was very low-code yet configurable, robust, and scalable,” said Chris Parker, Product Manager at OVO Energy. “We needed a simple solution that allowed us to get data from multiple parts of the company, supplement an existing data point with relevant information and funnel it to the Salesforce Marketing Cloud,” added Graham Vosper, Technology lead at OVO Energy.

But changes in business processes are inevitable, forcing continuous shifts to existing integrations – sometimes even rendering them obsolete. “Using Application Integration was very simple. With just a couple of clicks, our team quickly adapted to this new product and became productive,” said Graham.

A growing library of connectors in Application Integration makes it easy to connect to new applications and ensures any changes in connecting to the end application is automatically supported. OVO Energy has taken notice. “Configurability and traceability in Application Integration allows our developers to build and maintain our integrations without in-depth skills. We now have much better visibility into our information flow and failure rates,” said Graham. 

Get started today

Today’s integration problems require a comprehensive approach that spans applications, systems, and data. Application Integration is part of Google Cloud’s Integration Services portfolio, designed to address your end-to-end integration needs. The portfolio covers a wide range of use cases like data integration, API Management, and event-driven architectures. You can get started with Application Integration with no financial commitment by using the free tier. Learn more, explore a sample e-commerce integration, or jumpstart your development with quickstart tutorials.

As CentOS 7 reaches end of life, many enterprises are considering their options for an enterprise-grade, downstream Linux distribution on which to run their production applications. Rocky Linux has emerged as a strong alternative that, like CentOS, is 100% compatible with Red Hat Enterprise Linux.

In April 2022, we announced a customer support partnership with CIQ, the official support and services partner and sponsor of Rocky Linux, as the first step in providing a best-in-class enterprise-grade supported experience for Rocky Linux on Google Cloud. Today we’re excited to announce the general availability of Rocky Linux Optimized for Google Cloud. We developed this collection of Compute Engine virtual machine images in close collaboration with CIQ so that you get optimal performance when using Rocky Linux on Compute Engine to run your CentOS workloads.

These new images contain customized variants of the Rocky Linux kernel and modules that optimize networking performance on Compute Engine infrastructure, while retaining bug-for-bug compatibility with Community Rocky Linux and Red Hat Enterprise Linux. The high bandwidth networking enabled by these customizations will be beneficial to virtually any workload, and are especially valuable for clustered workloads such as HPC (see this page for more details on configuring a VM with high bandwidth).

Going forward, we’ll collaborate with CIQ to publish both the community and Optimized for Google Cloud editions of Rocky Linux for every major release, and both sets of images will receive the latest kernel and security updates provided by CIQ and the Rocky Linux community. And of course, we’ll offer support with CIQ for both these images, per our partnership.

Rocky Linux Optimized for Google Cloud lets you take advantage of everything Compute Engine has to offer, including day-one support for our latest VM families, GPUs, and high-bandwidth networking. And for customers building for a multi-cloud deployment environment, the community Rocky images have you covered.

Starting today, Rocky Linux 8 Optimized for Google Cloud is available for all x86-based Compute Engine VM families (and soon for the new Arm-based Tau T2A), with version 9 soon to follow. Give it a try and let us know what you think.