An Integrated DevOps Strategy for the Autonomous Digital Enterprise
As the economic impact of COVID-19 continues to reveal, business focus in each industry has changed from growth to just surviving. As we start the summer months in the western hemisphere, tourism has evolved to a screeching halt, the auto industry reached car sales were down 50% year-over-year in April, retail sales were below 16.4% from March to April in the US and the banking industry is suffering more limited credit card usage overall with less swipes and ATM transactions.
Despite these economic consequences, when we again reach stability, the digital enterprise will continue to develop rapidly. Over the following five to ten years, there will be even more varieties over every industry sector as people, technologies, data, devices, and ever-expanding networks converge to change every phase of work and life.
BMC is proud to be commencing the charge in the mainframe’s development to reach these new business requirements with our Enterprise 2025 vision throughout the Autonomous Digital Enterprise (ADE) – a roadmap back for consumers to rebuild, renew and strengthen their business.
What is an Autonomous Digital Enterprise (ADE)?
In order to flourish in the 2025 futurescape, companies will require to develop to Autonomous Digital Enterprises (ADE), a position where intelligent, integrated, value-creating roles can work with minimum (ideally zero) human relationship or interference, across every aspect of the organization, and its ecosystem of partners.
This concept is based on the idea that every organization today is being disrupted by technology and that’s fundamentally transforming their business model. The idea of every company being a technology company suggests that software becomes more than simply a method of record to be the method of action, the method of insights, and the method of engagement.
It is built on five technology-enabled systems:
- A transcendent customer experience is important when you’re only as good as your latest app release. Today’s various agile apps build a compelling user experience (UX) with exceptional design and connected microservices. For many of the various critical applications that involve microservices operating on mainframes.
- Automation everywhere is inter-woven completely implementing predictive models for issue resolution, knowledge distribution, app improvement and deployment, and much more.
- An enterprise DevOps approach is required to produce differentiated customer experiences. Developers are users too and they require a compelling developer experience (DX) that allows them to jumpstart application development from mobile to mainframe.
- A data-driven method with predictive models can help consumers gain insights and deliver a faster time to value from their technology advances in development, services, and security.
- Adaptive cybersecurity guards the mainframe from vulnerabilities and risks foretells attacks before they occur, and notifies Security & Operations how to harden the mainframe against future warnings.
When our consumers can bring all five of those pillars commonly, they’re truly an Autonomous Digital Enterprise with advantages varying from faster time to market with apps and services, an atmosphere that’s just as innovative as it is safe, and experience greater cost-effectiveness.
Businesses that execute an agile DevOps toolchain experience measurable advantages when developing and producing apps and services over the mainframe.
- With a continuous development methodology, quality is developed during the process of building, examining, testing, deploying, and maintaining apps and services.
- An agile DevOps toolchain improves volume and velocity in producing apps that operate on the mainframe to market faster vs traditional waterfall development.
- Efficiencies are developed, development bottlenecks are dodged and measurable KPIs are reached during this iterative development process.
Convergence of IT Service Management and IT Operations Management
As IT service management and IT operations continue to meet in 2020, CIOs will rely on AI. More than ever, CIOs will require to discuss this convergence and strive to break down silos among these departments. To get a complete view of the IT landscape, CIOs will start to adopt AI, cognitive and robotic process automation. This will produce end-user support and maintained back-end infrastructure more closely together.
If we look past traditional IT and service management, in the coming future we will have the capability to go to market with fully integrated solutions that allow boundary-less operations over AppDev, SecOps, ITOps, and service management. This will further allow the use of DevOps in companies using the power of AI to enhance existing abilities and generate new capabilities. This doesn’t suggest organizations have to begin from the ground up on AI efforts, rather they require to look for software solutions that can give prebuilt AI/ML solutions that manage change.
TestUnity experts blend strategy with innovation to empower our customer’s success on their journey to enhancing an ADE. Connect with our experts to thrive in your ongoing evolution to an Autonomous Digital Enterprise.