Offline-first – why Android app developers should care about Edge Computing

What is Edge Computing?

Today, over 90 percent of enterprise data is sent to the cloud. In the next years, this number will drop to just 25 percent according to Gartner. Where is the rest of the data going? It’s not going anywhere. It is being stored and used locally, on the device it was created on. This is Edge Computing.

Mist, fog, edge, cloud – the terms

To bring some light into the terminology mess: The terms “mist” and “cloud” constitute the ends of a continuum.

Mist covers the computing area that takes place on really tiny, distributed, and outspread devices, e.g. humidity or temperature sensors. To make it a bit more tangible: These devices generally are too small to run an operating system locally. They just generate data and send it to the network.

As opposed to this, the cloud refers to huge centralized data centers.

The terms “fog” and “edge” fall within this continuum and – depending on whose definition you follow – can be used interchangeably.

Adapted from Peter Livine (Andresseen Horrowitz)

Why is the edge cycle happening again just now?

The underlying megatrend enabling this shift is cheaper and more efficient hardware, as well as the emergence of edge databases. Edge databases are specifically designed to run on the edge and therefore lean and efficient. Both the number of mobile and IoT devices, and alongside data volumes are exploding at exponential rates. At the same time computing capabilities on the edge level are advancing faster than those on the cloud level. So, the edge has increasingly more power – power that is currently often underused. 

New applications and requirements drive the shift to the edge: 

• Offline Capability is necessary in some applications, but many offer it for a more seamless user experience (think about it: When you are mobile, at some point you will be offline)
• Data security and privacy requirements are rising (“the future is private”)
• Need for speed / faster response times (people get aggressive when their computers make them wait)
• Cloud costs must stay in relation to project value (and saving costs usually is a driver for business decisions)
• Bandwidth infrastructure is limited (hard cap) and cannot support all applications as device numbers and data volumes grow

Advantages of setting your project up in the cloud

So, what about the cloud; do we still need it in this era of Edge Computing? Setting up your project in the cloud has some advantages: First of all, the setup itself is comparably easy, as the cloud servers are managed by another organization. This also means that you do not need to worry about scalability of your servers or data loss, i.e. the need for redundancy, reducing overall downtimes. Additionally, cloud systems also are well tested, automatically updated and often encryption mechanisms are provided natively. This eases up on administration.  Generally, you can use the cloud rather quickly without worrying about lengthy and error-prone setup tasks. Using servers also centralizes the logic: clients will just call a unified interface (e.g. Web/REST).

A typical IoT-setup would often be centralized and look like this today:

Advantages of running your application on the edge

Running an application on the edge, e.g. your Android phone, a Smart Home Server, or in the car, has a couple of advantages:

• The application works everywhere, all of the time (offline / online)
• Great supersmooth User Experience (UX) as the app can respond in (near) realtime
• Data stays where it was produced and belongs, the user maintains data ownership
• Cloud / Connectivity costs go way down

Some tangible use cases for edge computing:

• Many Mobile Games run on the edge. As a game developer you really want your users to be able to engage with the game whenever they feel like it and have the time. And as a gamer, you may well want to play when offline, for example when commuting on the underground. Also, gamers really care about the user experience with very smooth animations and high-fidelity visuals.
• Autonomous driving as well as any human safety application needs to work independent from an Internet connection and in realtime. Imagine crashing because the car was trying to connect to the cloud or still waiting for the database to respond.
• Smart home or smart health applications should work even when there is no connection, but moreover: Why should you personal health data leave your private space? You probably would want to own that data and keep it safe in the local environment. That way it is much less likely that s.o. will try to hack your individual data versus millions of centrally stored data.
• Predictive maintenance apps usually need to process tons of data or high-fidelity data like video streams. Transferring all this data to the cloud usually means such high cloud costs that the project becomes unprofitable. Therefore, they usually are run on the edge and only aggregated data transferred to a central server.
• In Industry 4.0 / smart factory / Industrial IoT (IIoT) settings you often lack connectivity, so applications need to run on the edge.

Is the edge eating the cloud?

Unlikely. Often you want some data accessible from anywhere. Synchronizing parts of the data to the cloud (or an on-premise central server) allows you to combine many of the advantages from edge and cloud computing. Thus, the edge is a natural extension of the cloud that makes applications all the more powerful. We believe that future scenarios will often look like this:

This line of reasoning is supported by the fact that all major cloud companies, e.g. Amazon, Google, Microsoft, are pursuing an edge strategy. 

Why should Android developers care about Edge Computing?

Edge computing and improved speed for Android, Android libraries and related products for developers were two clear sub-themes at the 2019 I/O conference – obviously low latency is a major competitive advantage.

Here is why designing your app to run on the edge will help you be successful on the Play Store: There are roughly 2.1 mill. Android Apps to choose from today in the Play Store. To stand a chance in that market you need to delight your users and get good app store ratings. Edge Computing delivers on the app traits users care about most: performance, security, and availability.

Users care about performance – a lot

Whenever an app responds to a query directly instead of taking a round-trip to the cloud and back, it should be faster. More importantly, you can measure and optimize more reliably, as the latency is independent from the network connection. This enables the fast high-quality digital experience consumers want.

• Reliable performance was found to be the second most important trait for app users in a study by PacketZoom.
• Most mobile users, namely 96%, say app performance, such as speed and responsiveness, is important for them.
• A study by appdynamics found that more than eight out of ten respondents had deleted or uninstalled at least one mobile app because of performance issues.
• The same study found that 44% of respondents closed the app when experiencing poor network performance, but even worse: 32% even uninstall the app altogether. They also found, the reverse is true for fast performing and reliable apps with usage increasing.

As an Android developer you also know that many consumers cannot or do not care, why an app is not working. If the application is not working or just responding very slowly, users are dissatisified and annoyed. Therefore, as the developer you need to make sure your app always performs well.

Now, you might need to query data from the network. That’s fine; if most of your app is running independent from a connection, there are tons of ways to optimize user experience for connectivity loss and network latency.

Security is a hot topic and can be a USP

Users care about security, and this is a trend that will – in the face of the loss of huge amounts of personal data by tech giants – only continue to grow. When you leave data at the edge, on the device of the user, data security is much easier to provide. On top, data ownership is clear, easing up on data privacy.

Data is much more secure stored in one place  than when transferred over the network – possibly again and again and again. Android provides a good basis for keeping internally stored data safe. If data security and privacy are important for you, your app, or your users, think about keeping data locally and then only synchronizing data you really need accessible from anywhere. Last not least, while an individual phone may be hacked, it is less likely to occur and only an individual dataset is compromised (as opposed to millions of datasets).

Offline first – deliver an always-on-feeling