Operations | Monitoring | ITSM | DevOps | Cloud

Broadcom

Introduction to Site Reliability Automation, Enabled by AIOps from Broadcom

To support digital transformation, organizations are increasingly looking to site reliability engineering, or SRE, approaches to managing complex infrastructures and handling the pace of change induced by DevOps. When issues occur, it’s important to have an integrated toolset that can determine the root cause and apply remediation. In addition, the solution should understand the results of the remediation action, increasing the confidence level in applying the right actions to other similar issues. All of this results in site reliability automation - enhancing infrastructure monitoring with intelligent recommendations and auto-remediation capabilities to help SREs create more resilient production environments. To learn more, go to broadcom.com/aiops

Easy Triage of SD-WAN Network Congestion with AIOps NetOps

AIOps from Broadcom simplifies the triage of complex network congestion across today's modern architectures like 5G, IoT and SD-WAN. In this use case, IT Operations or Network Operations is able to gain quick insights into the visual correlation between the application, network and server-based performance metrics, and determine the outage to be a network SD-WAN related issue. This helps the Network Engineer quickly determine the root of the issue, gather needed information from the automated diagnostics, and determine ways to immediately remediate the service degradation.

DX NetOps 20.2 Solves For Network Congestion with Industry's First AI-Driven Network Monitoring Tool

DX NetOps 20.2 network monitoring software powered by Broadcom Silicon and BroadView™ Telemetry delivers the industry’s first AI-driven, high scale operations monitoring and analytics solution. As a global infrastructure technology and software solutions leader, Broadcom provides next-generation network monitoring software that simplifies 5G, IoT, Cloud and SD-WAN deployments by applying AI and ML to the rich granular data captured at the chip level to enable a uniquely automated AI-driven solution that remediates network congestion.