Well, developers, 2021 is your year. Companies in almost every industry are scrambling to expand their IT operations and automate as much as possible.
We know, we know. The demand for developers is nothing new. But 2021 is different: 2021 is the year that will put some of the most exciting technologies of the decade into practice, and others will go mainstream. New trends such as edge computing, machine learning, and artificial intelligence will become more mainstream and widely adopted. And many of these trends, such as blockchain and artificial intelligence (AI), will have an impact beyond our understanding. 2021 will be an exciting and important year for software, and developers will play a key role.
Without further ado, here are the six software development trends that will dominate 2021. If you have any comments, questions or suggestions, please leave them in the comments section below.
Even though the blockchain industry experienced a "Crypto Winter" at the end of 2019, it was a chance to weed out pointless projects. Some argue that it was a necessary cleansing to pursue more severe projects in the blockchain field. Despite this more difficult period, the number of blockchain start-ups continues to grow.
By Indeed.com, over the past year, the share of cryptocurrency jobs per million people has increased by 26%, the percentage of job searches million people has decreased by 53%. There has been a decrease. In short, there is a need for expertise in the blockchain sector. While most companies are looking for Ethereum and Bitcoin experts, many other projects require highly skilled blockchain developers.
Wearables like the Fitbit and Apple Watch are getting a lot of attention, but they are only a niche in the vast IoT ecosystem. Cars, roads, deep-sea oil wells, living rooms - almost everything is a data collection device. These devices collect vast amounts of data, and IT companies are looking for cheaper and faster ways to process that data, where edge computing will come into play in 2021.
Edge computing uses a network of micro-data centers to process data close to the device - at the 'edge' of the network. Processing at the edge saves time and money compared to moving all the data to a central data center. It means faster real-time analytics for the end-user, even if the IoT device is in a location with poor connectivity (such as an oil rig in deep water).
As edge computing becomes a priority, it will require database and network engineers to create the future IoT infrastructure. The acceleration of real-time analytics will also see more companies adopting BizDevOps practices, giving developers a seat at the strategy table.
Edge computing expects to impact all layers of IT infrastructure, including the cloud. However, some experts warn of the pitfalls of edge computing.
With Equifax, WannaCry, Uber, and the National Security Agency at its center, 2017 was a terrible year for personal data on the web, which is no mean feat, given the hacking frenzy of the previous year's election. For all companies, organizations, and governments worldwide, security is a top priority, and resources are poured into developing new solutions.
Cybersecurity efforts can divide into two categories: internal and external. Internally, the focus should be on building security into the software; DevOps teams should focus on automating security testing during the software development lifecycle, which will ensure that vulnerabilities are introduced during development.
However, there is a shortage of cybersecurity talent: according to InfoSecurity magazine, 65% of organizations surveyed reported a lack of cybersecurity staff. The survey also revealed that the shortage of qualified cybersecurity professionals is the biggest concern. This talent shortage isn't just limited to large corporations, as ESG's Jon Oltsik believes the cybersecurity skills gap is an "existential threat to national security."
Like blockchain and edge computing, cybersecurity is a greenfield for developers whose skills will be in demand shortly. It may well be one of the most important jobs of our generation. Therefore, cybersecurity should be on the list of software development trends for 2021.
Continuous delivery is no longer a competitive advantage, and it's on the table.
The speed of software delivery will reach Formula 1 levels by 2021, with giants like Amazon introducing new code every 11.7 seconds. Not all companies need this speed, but there are many benefits to continuous delivery beyond delivery speed. These benefits can be a game-changer in the highly competitive software industry.
In short, continuous delivery means that the default state of a software build is "deployable." As soon as the code appears, it integrates (continuous integration), tested, built, and configured. All that's left for the developer to do is press the big red 'Deploy' button. Companies like Amazon take this process a step further and introduce Continuous Deployment.
While continuous delivery speeds up deployment, it helps teams reduce the number of bugs they encounter in production. With constant testing, any errors are quickly identified and sent back to the developers for correction. Continuous delivery allows the team to develop the software you want on schedule. Short feedback loops, an agile principle, will enable us to quickly deliver new versions to our customers.
Continuous delivery requires several tools, including a CI development server, monitoring tools, and a code management platform. For more information on continuous delivery, please visit Stackify.
It is time for companies to accept AI as an absolute necessity to stay in business. Providers of voice recognition home assistants, smartphones, big data, and Insight-as-a-Service have an important year ahead due to AI adoption.
Security is also an area that will grow in 2021. While artificial intelligence has already received a lot of attention, safety has not received the same attention. For example, self-driving cars rely on reading data from the real world, such as stop lines. Imagine that someone has maliciously placed a 45 km/h sticker on a stop sign, meaning that the AI may interpret an intersection with this stop sign as a regular road and bomb the meeting, which is a straightforward and easy attack to fool the AI
Another trick is to use a laser to transmit sound over hundreds of meters and send voice commands. With this laser, they can silently speak to any voice-activated device, which is hazardous detection, as it can use by someone with bad intentions to purchase or open a garage door.
All in all, spending on AI solutions expect to continue its 46.2% annual growth and reach $52.2 billion by 2021.
The distributed cloud has already taken off in early 2021. The cloud is nothing new, but the way it is used is quite innovative. The decentralized cloud refers to the distribution of services between multiple cloud providers and geographical cloud locations. For example, a cloud provider such as Amazon offers servers in different areas such as Ireland, the Netherlands, and the US. As an organization, the geographical distribution of services between various cloud providers can reduce potential downtime risk.
Latency reduces as requests do not have to travel across the globe. Faster response times because the request is sent to the nearest server where the service resides.
Reduced risk of failure. Because services are distributed across multiple cloud providers, the loss of a single cloud has little impact on your services' availability.
They improved load balancing. Requests are distributed among multiple cloud providers, each with its load balancing capabilities, making it easier to handle large workloads.
Finally, we'll look at how you can stay up to date with these new developments or you can contact top software development companies in India.