Human operators utilizing traditional network monitoring software with methods like SNMP, ping, or flow tracking are still limited to diagnosis and triage issues within the four walls of the on-premise data center. But with increased adoption of cloud, SD-WAN and “work from anywhere,” application workloads are getting more distributed and creating network monitoring visibility gaps.
The increasing adoption of modern and cloud-native architectures is enabling enterprises with IT infrastructure that is more dynamic and ephemeral, and thus more resilient. This trend drives infrastructure monitoring tools to transition from simply “keeping the lights on” to providing advanced insights such as predictive analytics for infrastructure workload optimization. Infrastructure monitoring that was once art has become science.
Making IT operations simpler – which AIOps does by helping teams to make smarter, more informed decisions about complex monitoring and APM problems – is great. But what would be even greater is eliminating the need for IT teams to make decisions at all – a prospect known as NoOps. By automating application management to the point that human involvement is no longer necessary, NoOps offers tantalizing possibilities for the IT operations teams of the future.
To date, AIOps has been a solution first and foremost for IT operations teams. In other words, AIOps has been used primarily to help IT teams manage what happens in the post-deployment part of a CI/CD pipeline, when they need to detect and remediate issues in production environments. That doesn’t mean, however, that AIOps leaves developers out of the picture. Although the conversation surrounding AIOps hasn’t paid a lot of heed to developers so far, it’s perhaps time to change that.
Broadcom officially closed on the acquisition of AppNeta on Jan 31, 2022. This marks a new beginning for AppNeta and the Broadcom network monitoring software business. AppNeta will take the lead in our vision to enable Network Visibility Anywhere, focusing especially on operational blind spots and experience in the last mile. We aim to ensure a quality digital experience anywhere while working, transacting, communicating and automating.
You know that observability plays a crucial role in helping to manage today’s distributed, cloud-native, microservices-based applications. But you may be surprised to learn that – despite its close association with modern applications – observability as a concept was born more than a half-century ago. Its origins stretch all the way back to the late 1950s, long before anyone was talking about microservices and the cloud.
