Data centers are the epitome of infrastructure automation, and their modern manifestation—cloud—provides an almost magical platform for its users. To construct clouds, separation of concerns into layers of abstraction, like network overlays and service API encapsulations, help enable service agility and innovation. But do these layers curb complexity, or merely mask it?
In April 2019, Juniper Networks started shipping its newest and highest-performing MPC10E (Modular Port Concentrator) line card that provides packet forwarding services for the MX series, specifically the MX240, 480 and 960. The MPC10E supports higher densities of 100GE and also adds support for 400GE interfaces. This helps users pack in more throughput through the same form factors while deploying fewer systems and having a greater capacity. This line card is capable of delivering up to 1.5T per slot bandwidth.
Artificial Intelligence (AI), as both a term and a technology, has been present for more than half a century; however, there is often a misunderstanding around the uses for AI, especially applications in daily life. While general AI may be a common subject in Sci-Fi movies, it is far from reality.
Every enterprise IT organization and network provider has some kind of automation ambition—and has for years—yet the vast majority of network and security operations continue to be largely manual in spite of decades of progress in automation technology such as APIs and tools, software-defined everything and DevOps engineering transformations that flank NetOps teams. By itself, this is an interesting dynamic. But when you consider that virtually every major technology advancement in the IT space has been focused on transforming operations, it’s absolutely alarming how little adoption has actually taken place. With so many dependencies on more efficient operations, automation has moved from nice-to-have to a critical foundational building block.