7 Software Development Trends for 2022 and Why You Should Embrace Them

By now, we’re all too familiar with the saying “every company is a software company”, but scaling and delivering quality software is – to put it simply – difficult: the complexity of the software development continues to grow, with ever-changing technology stacks and new cloud services. arising. Yet, there are simply not enough software engineers available on the market: Quantified IDC that the shortage of full-time developers is currently at 1.4 million people (2021) and will increase to 4 million people in just 4 years.

At the same time, the hybrid working revolution and the digital pandemic acceleration have exploded the backlogs of software development teams across industries. These last two disruptions were perhaps the straw that broke the camel’s back on the old approach to conventional development.

We predict Seven software development trends this will be key in 2022 and software engineering leaders should consider modernizing their development teams, practices, and tools and achieving their business goals.

No.1: DevSecOps

Security, unfortunately, will continue to be the No.1 concern of IT managers and software engineering teams. Between an increase in ransomware attacks, a lack of clear boundaries for organizational data, and heightened risk with collaborative citizen developments, data privacy and regulatory requirements are at greater risk than ever. This has led to increased demand for DevSecOps, where security and compliance requirements are validated at each stage of the development cycle.

With this growing pressure to protect development environments from supply chain security threats and strengthen software delivery pipelines, we see CISOs and CIOs increasingly prefer to build new web and mobile applications on forms that manage all stages of application development and delivery for each new application. — instead of depending on the unsystematic nature of different people with different secure development practices.

The ultimate goal is for development platforms to promote and facilitate the creation of secure code by development teams, assuming a Zero Trust security model, instead of relying primarily on security testing methodologies.

#2: Hybrid Integrations

According to The State of SaaS Scaling in 2021, the average company has 254 SaaS applications but, on average, only 45% of a company’s SaaS applications are used regularly. Additionally, 56% of all these applications are shadow IT, or owned and managed outside of IT. And what’s crazy is to think that this is on top of all the software packages and systems of record they already have to run their core business.

The recent fury of business users to deploy RPA to older tools that lacked APIs was shorthand for legacy systems, but not ideal for the fluid nature of digital businesses that are constantly changing. For this, agile companies use rapid application changes with low-code development platforms and major ones include these capabilities inside.

Above all, we are now at a stage where organizations need more than ever to connect their data management, governance and auditability in real time across these multiple data sources which requires more tools in hybrid integrations. The right software development platforms or dedicated tools help integrate data from different SaaS and legacy systems for a data structure used by multiple systems and applications, which is critical in helping business leaders take data-driven decisions.

#3: Low-code for pros

A proven alternative in 2021 has been the widespread adoption of low code platforms, where a leading vendor is already addressing challenging enterprise use cases. Indeed, according to Magic Quadrant for Enterprise Low-Code Application Platforms,

“By 2025, 70% of new applications developed by enterprises will use low-code or no-code technologies”.

Low-code does not mean that developers will be replaced by professional users (to understand the difference between low-code and no-code, take a look at this blog post). Low-code platforms provide an abstraction to remove some of the complexity that developers typically face when building an application or system. And the best ones offer full control so software engineers have precise control.

The goal is for those repetitive and boring tasks like dependency management, code validation, and automatic builds to be done by the platform so that developers can focus on the extra effort that makes the differenceinstead of just keeping the lights on.

#4: Cloud Native Platforms

Continuing with the SaaS theme, the explosion of niche cloud applications is changing the “build vs buy economy and time. Indeed, the proliferation of SaaS not only blows up initial budgets, but also becomes another form of technical debt: jumping between a dozen systems is a bad experience, with business consequences.

Recapturing enterprise agility in the enterprise systems used by customers, partners, and employees requires a new kind of cloud-native application development that is highly distributed, scalable, and enables building apps resilient and responsive businesses. increases the agility of the organization.

The explosive growth of web services from mega-vendors from around 30 five years ago to 250 by a single IaaS vendor today is becoming a massive distraction for enterprise developers building cloud-native applications.

To overcome these challenges, it is essential that cloud-native development platforms allow development teams to stay focused on managing the value stream for their digital productsinstead of exhausting their engineering talents on infrastructure management alone.

And with tech giants winning the race for the few skilled engineers, organizations outside of this tech elite must embrace new ways to stay innovative and competitive with their own teams. This means finding technology that allows them to abstract or remove technical complexity and allow their development teams to focus on business results and innovation, such as a new generation of Cloud Native Low-Code platforms. .

#5: DesignOps

DesignOps is a tight team sport with close collaboration between design teams and front-end developers (including shared repositories, tools, asset exchange) fostering collaboration between different product teams within an organization and guaranteeing the consistency of the product experience from the first delivery.

Now, 2022 is the first time that IT and application development budgets have already reflected the reality of hybrid working as the employee and partner experience has become just as critical as the customer experience – for the hyper-adoption: the widespread and frequent use of applications created to gain business agility.

As organizations face pressure to launch more digital products while meeting user adoption goals, they must manage design at scale, while minimizing technical and UX debtputting DesignOps practices center stage.

No. 6: Observability

Going hand-in-hand with DesignOps, engineering leaders should invest in observability for hyperadoption. Combined with new observability of end-user behavior and supported on open standards such as open telemetry for tracing with plans to expand their use of logs and metrics, more digital product teams will aim for levels of user adoption that was historically hard to reach.

#7: PWA-first

Progressive Web Apps PWAs combine the functions of native apps and the accessibility of websites without involving app stores. Like native apps, PWAs can work offline, send push notifications, and access device hardware, like cameras or GPS. User experiences are similar to native apps on mobile and desktop devices without complicated downloads and updates, with one big advantage – they work well on top of poor connectivity.

PWAs will regain momentum in 2022 due to their connectivity-resistant design and resistance from users (to continue piling native apps into their devices). There were already great technical arguments for adopting a PWA-first mindset by developers and software leaders, but the great acceleration of digital experiences is also accelerating this change, because:

  1. From the end user’s perspective, PWAs are easy to use on their mobile devices (no app store) and are lightweight.
  2. From a development perspective, PWAs are much faster to modify than native apps and they are easier to maintain.
  3. For development teams, unlike native apps, they use a single codebase for all devices, they’re searchable by search engines, and they’re lightweight.

Low-code for victory

To learn more about how to adopt these trends, we invite you to subscribe to the Cloud Innovation Summit 2022. Attendees will see first-hand what high-performance low-code looks like. Register now.

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