6 Software Development Trends for 2018: Developers Needed

Demand for Blockchain developers will explode

In 2018, we’ll start to see the first attempts at this disruption through business-class blockchain platforms.
Many of the legacy technology companies introduced their own blockchain platforms in 2017. IBM is considered the leader, and they are already penning partnerships with banks, food distributors, and government regulation agencies to put blockchain to use. However, Microsoft, Oracle, and Amazon are close behind, and the battle for enterprise-level blockchain dominance is just heating up.

What does this all mean for the software industry? Businesses in every industry are going to start building apps on blockchain platforms, which means the demand for blockchain developers is going to explode. According to 2016 figures, there were only 5,000 full-time blockchain developers in the world. Surely that number increased in 2017, but it still pales in comparison to the over 18 million Java developers. 2018 will be a gold rush for developers who dedicate themselves to blockchain, and most will come away a whole lot richer.

IoT gets pushed to the edge
Wearables like the Fitbit and Apple Watch get most of the attention, but they are merely a niche in the vast IoT ecosystem. From cars to roads, deep sea oil rigs to living rooms, nearly everything is turning into a data-collecting device. These devices collect enormous amounts of data, and IT companies are exploring cheaper and faster methods of processing it all. That’s where edge computing is going to play a role in 2018.

Edge computing uses a mesh of micro data centers to process data near the device, or at the “edge” of the network. Processing on the edge saves time and money from porting all of the data to a centralized data center. For the end user, this means IoT devices will be able to perform faster real-time analytics, even when they are in a place with poor connectivity (like on a deep sea oil rig).

Cybersecurity reaches an inflection point
With a focus on Equifax, WannaCry, Uber, and National Security Agency, 2017 has been an awful year for private information on the web. That’s saying something, considering the election hacking fiasco a year before. Security is top-of-mind for every enterprise, organization, and government in the world, which means resources will be flowing to develop new solutions.

Cybersecurity initiatives can be divided into two categories: Internal and external. Internally, businesses will be focused on building security into their software. DevOps teams should focus on automating security testing into their software development lifecycle. This will help ensure that vulnerabilities are not introduced during development.
Externally, venture capitalists are flooding cybersecurity startups with capital, to the tune of $3.4 Billion in 2016. According to the Crunchbase Unicorn Leaderboard, there are currently 5 cybersecurity startups worth over $1B and we should see more emerge in 2018.Like blockchain and edge computing, cybersecurity represents another green pasture for developers who want their skills to stay in-demand for the foreseeable future. It could also be some of the most important work of our generation.

Continuous delivery is no longer competitive advantage; it’s table stakes
Software delivery will reach Formula 1-level speeds in 2018, led by the giants like Amazon who allegedly deploy new code every 11.7 seconds.In short, continuous delivery is when the default state of your software build is “ready for deployment”. As soon as code is written, it is integrated (called continuous integration), tested, built, and configured. The only thing left for developers to do is hit the big red “Deploy” button. Companies like Amazon take this process a step further by implementing continuous deployment.

Despite speeding up the rate of deployment, continuous delivery actually helps teams reduce the number of errors that make it into production. Thanks to continuous testing, all errors are caught immediately and sent back to the developer to fix. Additionally, continuous delivery helps teams stay on track with building software their customers
want.

Artificial intelligence becomes a necessity
We’re reaching the point where businesses absolutely need to adopt AI in order to stay relevant. Voice-activated home assistants, smart phones, Big Data, and Insight-as-a-Service vendors will all have big years as a result of this AI adoption. But the biggest winners this year are data scientists and Chief Data Officers (CDO) who will be in high demand for a long time.

Forrester predicts that AI will blur the boundaries between structured and unstructured data, and 50% of CDO’s will start to report directly to the CEO. As a result, over 13% of data-related jobs on Indeed.com are for data engineers, compared to 1% for data scientists. This reflects the need for practical, action-oriented data pros that can directly impact the bottom line.

Virtual reality (might) go mainstream
2017 was the first full year of high-end, commercially-available VR headsets. Facebook’s Oculus Rift and the HTC Vive led the way in full-power VR systems (as opposed to smartphone-powered systems like the Galaxy Gear VR), but adoption has been slow. Analysts estimate less than 1 million units have been sold between the two.

Both systems, however, are making big moves to expand the market in 2018. Facebook and HTC have both slashed prices considerably on their flagship headsets. HTC announced a standalone headset just weeks after Facebook revealed the Oculus Go. Both of these “lite” headsets will start at much lower price point to attract new users (the Oculus Go will start at $199).


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