AppDynamics, a part of Cisco, last week released a global research study that reveal a dramatic increase in IT complexity caused by the need for urgent innovation - and the resulting technology sprawl.
The research also validates a pressing need for full-stack observability with added business context to help technologists manage the IT estate, cut through the data 'noise' and observe what matters most to their business.
AppDynamics' latest edition of its global research study Agents of Transformation 2021:The Rise of Full-Stack Observability explores the impact of the rapid acceleration of digital transformation created in response to the COVID-19 pandemic and the repercussions for global technologists.
The shift to digital-first business models to weather the storm and minimize the commercial impact of the COVID-19 pandemic, has placed technologists at the forefront of their organizations’ response. According to this research, this forced a 3X acceleration of digital transformation projects. Unsurprisingly, technologists found themselves under considerable strain, with 89 percent reportedly feeling under immense pressure at work and 84 percent admitting to having difficulty switching off. Furthermore, many technologists expressed feeling frustrated about work (81 percent)4and experiencing increased levels of conflict with colleagues (63 percent).
This rise in IT complexity has significantly increased the amount of data created across the technology stack, from the application, through the infrastructure to the network and security. With this added complexity, 85 percent of technologists state that quickly cutting through noise caused by the ever-increasing volumes of data to identify root causes of performance issues will represent a significant challenge in the year ahead.
Linda Tong, VP and GM, Cisco AppDynamics
Full-stack observability is the only way technologists can deal with the sprawling IT estate and increased complexity created by such rapid rates of innovation. Technologists have recognized that without business context, they will quickly find themselves drowning in complexity and data noise.
