Organisations must put software at the core of their business if they wish to thrive in the digital economy, said Nick Lim, vice president, ASEAN and Greater China, CA Technologies. Enterprises can increase their success by focusing on DevSecOps, Software-as-a-Service (SaaS) and mainframe innovations.
Lim was sharing CA’s top three technology predictions for the year.
DevSecOps gaining traction
Digital security has become a boardroom-level issue. DevSecOps will become mainstream and security technologies designed for developers will dominate the market. Security must be a part of the entire DevOps lifecycle from the beginning. DevSecOps will enable software to be built, tested, secured and deployed quickly and efficiently.
Companies that embrace DevSecOps deliver better because they focus on collaboration and alignment across disciplines, said Lim.
Cloud is growing
Cloud computing can accelerate innovation and offer agility and cost-effective ways to deliver IT services. Enterprise cloud spending will grow at 19% CAGR over the next 10 years. “It is all about SaaS in 2018 for some of the largest players, with a bigger cloud spend,” Lim said.
Mainframe to remain mission essential
Mainframe computers have gone through a digital transformation of their own, from a platform that supports transaction revenue to one that is a source of revenue growth and innovation. Mainframe services will remain more mission essential with the advent of mobile, API enablement and containerised applications.
“The mainframe will continue to become more connected in the enterprise to deliver new mission-essential services,” Lim said. “With growing momentum in AI and machine learning, the mainframe is transformed from a system of records into a hub for systems of intelligence and intelligent automation in the enterprise.
“The traditionally trusted attributes such as speed, security and high availability, and new capabilities of the connected mainframe will cement the mainframe’s position as a mission-essential ingredient for business innovation in the digital economy,” he said.
Lim said customers will play a greater role in reshaping businesses as delivering high quality, seamless digital experiences to customers becomes the foundation of many businesses. To do so, organisations need to build software into their business DNA.
CA is pushing a Modern Software Factory (MSF) framework to help businesses build and adapt apps quickly. “The MSF is one of the most important enablers of businesses and provides a way to sense, adapt and respond to a rapidly changing world,” Lim said.
He predicted four principles that anchor the MSF will be very apparent in 2018:
- Quicker response to changes through business agility. Data-driven insights will be used extensively to gain business agility. Sophisticated insight-generating engines will be tied to real-time business and financial metrics. In future, the health and vitality of an organisation’s software experiences and investments will be measured and predicted in ways not possible before.
- Improved efficiency through intelligent automation. To optimise automation, businesses need to standardise and integrate workflows across the DevOps process and tool chain. Analytics will help find bottlenecks or weak spots in the automated software flows. In future, automation will be intelligent – it learns, adapts, and self-optimises the entire system. Software will be increasingly running development alongside and, in some cases, instead of humans.
- Improved customer experience through experience insights. Advanced analytics can be applied on company data to gain experience insights and continually improve how customers experience their goods and services. In future, the core activities of managing, governing, and securing an organisation’s technology will become more efficient, automated and intelligent. Enterprises can then focus on building new value to drive their business forward.
- Risk mitigation with end-to-end security. As software becomes the primary way customers interact with brands, security becomes synonymous with “trust”. Businesses have to secure the entire value chain of their company, including data. In future, the same risks faced by enterprises will exist but AI will pose new threats. Fighting AI with AI will become a necessity.