Cisco's AppDynamics outlined a vision to create what it calls a Central Nervous System of IT. It's designed to automate applications, infrastructure, and network as well as integrate artificial intelligence with "AIOps." The first volley of this multi-year effort is AppDynamics' Cognition Engine. The vision of a Central Nervous System of IT will take years, according to AppDynamics CEO David Wadhwani. "It's not a product but a vision we're working toward," he said.
Enterprises that are betting the massive amounts of data that they are collecting will deliver the insights they need to make better and faster businesses are finding that they could just as easily be overwhelmed by them. The data is coming at them fast from their core datacenters, cloud infrastructure, and the edge, and the applications that are generating it changing even faster, far outpacing the ability for humans to manage it all. Automation is not new to the IT sector, but artificial intelligence – and particularly machine learning techniques – are increasingly being leveraged by organizations to keep up with the increasing rate of change, leading to the rise of the new trend – and new buzzword – of AIOps, using AI and machine learning to automate IT operations. Most enterprises are expected to adopt these new technologies and adapt to the fast-evolving IT landscape with staffs that probably haven't grown much if at all over the past several years. "What we see is that IT is facing a tremendous challenge as far as the environment through which they are trying to build to support their applications," Matt Chotin, senior director of technology strategy at AppDynamics, tells The Next Platform.
The global COVID-19 pandemic has every business rethinking their digital strategies, with many speeding up IT projects that under normal circumstances could have taken years longer. Still, a new global survey from AppDynamics shows that IT professionals are concerned that many of the changes under way are being hastily implemented, in way that's not future-proof. From cancelled conferences to disrupted supply chains, not a corner of the global economy is immune to the spread of COVID-19. The new survey, a special edition of AppDynamics' "Agents of Transformation" report, shows just how impactful the pandemic has been when it comes to IT: 95 percent of respondents said their organizations have changed their technology priorities during the pandemic. As many as 71 percent could point to digital transformation projects that were implemented within weeks rather than the months or years it would have taken before the pandemic.
Kubernetes is a series of open source projects for automating the deployment, scaling, and management of containerized applications. Find out why the ecosystem matters, how to use it, and more. If you want to manage containers on the cloud, chances are you're using Kubernetes, the most popular container orchestration program. And, networking powerhouse Cisco wants to help your enterprise make the most of it. On May 1, Cisco announced Kubernetes support for AppDynamics and Cisco CloudCenter.
Earlier this year, Cisco announced the acquisition of AppDynamics – uniquely positioning Cisco to enable enterprises to accelerate their digital transformations by actively monitoring, analyzing and optimizing complex application environments at scale. Today, we are excited to announce the intent to acquire Perspica, the first acquisition to support and accelerate the AppDynamics vision. In our experience working with the world's largest companies, we know that machine learning is only as good as the data it ingests; only as relevant as the data's timeliness; and only as valuable as the data's business context. Cisco's AppDynamics data sets span wherever the application components are deployed, and there is a massive opportunity to correlate this with user experience and business context. With the addition of Perspica to our AppDynamics capabilities, customers will be able to further take advantage of machine learning capabilities to analyze large amounts of application-related data, in real time and with business context, including when an application is deployed in a company's public, private and multiple cloud environments.