Broadcom is simplifying Hybrid Multi-Cloud and SD-WAN deployments by combining AI and ML with rich granular data captured at the chip level for one-of-a-kind AIOps analytics and automation.
Our customers are experiencing challenges today with managing complex network architectures like SDN, SD-WAN and NFV to deliver an innovative, reliable and responsive digital experience.
Cost is one major challenge. It is expensive to run network operations today and requires many personnel to architect, monitor, understand patterns and triage these new architectures. Recent studies show that an enterprise loses an average of $9k every minute during a data center outage. Some of our customers have reported up to $20M in losses to data center outages per year.
Speed is another challenge. Today’s digital experience requires a new level of network operational responsiveness to be able to identify, diagnosis, react and solve problems quickly to avoid bad customer sentiment and mounting operating losses.
It is critical to bring AI and ML through an advanced AIOps solution to network operations today to solve for reducing costs from operating, avoiding outages and to speed up root cause analysis for faster triage and operations.
AIOps can eliminate hours, days and weeks spent on manual pattern identification of trend charts looking for any unusual activity in the network. It can enable advanced root cause analysis and anomaly detection through intelligent thresholding and alarm noise reduction. Furthermore, AIOps enables advanced predictions, correlations and automated network triage. AIOps can learn from analyzing network activity to automate, repair and tune the network for reduced operational costs and faster triage to deliver consistent and exceptional digital experiences.
Figure 1: Clicking on the affected metrics tab displays the power of our Machine Learning (ML) algorithms used to identify anomalies in network behavior.
We all understand that no one solution fits all problems, and network monitoring is no exception. Some next-gen use cases such as dynamic traffic engineering require granular visibility at flow or packet level in real time. Broadcom’s Inband Flow Analyzer (IFA) is a flexible, scalable and real-time monitoring solution that leverages Inband Telemetry technology to deliver granular telemetry at flow or packet level. Broadcom also supports several key out-of-band telemetry use cases such as streaming telemetry directly from the ASIC. AIOps for SD-WAN and Hybrid Multi-Cloud from Broadcom enables one-of-a-kind network monitoring, leveraging state of the art in-band and out-of-band telemetry technologies, to enable use cases such as Packet Path Tracing with Route Change Detection Alarms, Microburst Detection with Proactive Congestion Monitoring, Mirror On Drop providing deep visibility into packet drops and Elephant Flow Monitoring.
Figure 2: Timed stamped packet path tracing enables per hop packet latency visibility.
AIOps for SD-WAN and Hybrid Multi-Cloud is powered by Broadcom’s industry-leading silicon including Trident 4 and Jericho2 families that enables disruptive advances in Enterprise data center and campus networks.
Highlights of Trident 4 include:
- A scalable architecture, with bandwidth from 2.0 to 12.8 terabits per second
- Extensive compile and run time programmability, allowing changes to behavior during switch operation
- An extremely rich feature set with a high degree of feature concurrency
- Large, fungible databases and an industry-leading on-chip packet buffer
- Advanced Telemetry and Instrumentation
Highlights of Jericho2 include:
- 10 Tb/s in a single device, delivering hundreds of Mb/s (Megabits per Second) per subscriber
- Elastic Pipe, delivering advanced packet processing, programmability, virtualization and investment protection
- Large scale, carrier grade, expandable IP-MPLS forwarding
- Hundreds of milliseconds of deep buffering
- Advanced Telemetry and Instrumentation
Trident 4 and Jericho2 support programmable dataplane leveraging state of the art Network Programming Language (NPL). IFA complements programmable dataplane through innovative mechanisms to enable next-gen use cases, such as measuring real-time application latency in cloud networks, in a scalable way.
AIOps Silicon Insights operationalizes complex Cloud and SD-WAN environments by combining AI and ML with rich, granular packet data captured at the Broadcom chip level for one-of-a-kind network analytics and automation.
See AIOps Silicon Insights in action here: