Blog

AIOps Transforms Customer Experience in Leading Industries

Learn how AIOps is helping transform customer experience in key industries including financial services, telecommunications and retail. Sudip Datta, head of AIOps products, shares the five imperatives for a successful AIOps implementation and discusses how leading organizations are using AIOps to improve operational efficiency, improve customer experience and speed innovation.

Unlocking the Value of the SRE Model

This paper examines the key tool requirements that are integral to supporting SRE models, and
it reveals how Broadcom offers a unique approach that helps organizations realize more value from the
SRE model, and do so more rapidly and securely. Review this paper and discover how Broadcom solutions
deliver complete ecosystem observability and AI-fueled intelligence, enabling teams to optimize the
customer experience and boost business outcomes.

Read White Paper

AIOps Silicon Insights Delivers Unparalleled Network Visibility and AI-Driven Remediation

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.

AIOps latency
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.

BroadView deep flow per packet analysis
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.

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See AIOps Silicon Insights in action here:

Five Spooky Myths About AIOps

By: David Hardman, Sr Principal Product Marketing Manager, AIOps

It’s true that AIOps can help you increase operational efficiency while enabling you to transform customer experience. But take a look at the following spooky myths to make sure you aren’t haunted by ghastly problems after you choose an AIOps solution.

Myth 1: AIOps means monitoring blind spots no longer matter

Monitoring blind spots have long plagued IT operations teams. But, AIOps fixes all that – right? AIOps can apply advanced analytics and machine learning to astounding amounts of data. However, monitoring blind spots are like ghosts in the system and you can’t analyze what you can’t see.  These apparitions may show up in ways that are very scary for your customers. You need to shine a light on them before they impact your customers and your business.

It’s best to choose an AIOps solution that eliminates blind spots. Full Stack Observability – from mobile to mainframe and application to network and the ability to monitor all environments while integrating with third party tools enable you to get full visibility to cross correlates every component of your full stack.

Myth 2: Log monitoring is sufficient

Log monitoring is certainly indispensable. Being able to parse and analyze events found in unstructured system, application and network logs is a critical capability to any operations team. But looking at the problem from multiple angles helps predict problems from alternate dimensions and log monitoring alone is insufficient.

Having comprehensive data sets consisting of both structured and unstructured data including metrics, alarms, logs topology, text and API data provides the best data for AIOps. The best AIOps solution is able to provide both metric-driven and event-driven anomaly detection to detect potential issues before they affect your users.

Myth 3: All you need is the right algorithms

Algorithms can be a bit mysterious but are a key element of any AIOps solution. Augmenting human intelligence one goal of the AI in AIOps but if you ingest the wrong thing into your algorithm the result may be more like a zombie than a human!

A primary outcome of AIOps is to determine the root cause of problems. It does this through machine learning that automatically and algorithmically determines root cause. Make sure your algorithms aren’t single-minded or zombie-like (brain!) in what they consume to do their work. Look for an AIOps solution that feeds its algorithms with a healthy dose of the four Ts: topology, time, text and training to correlate from multiple data sources to arrive at root cause, eliminating noise and giving you faster time to repair.

Myth 4: AIOps stops at knowing

It may seem enough to know the root cause. After all – not knowing the root cause can be downright frightening as if a poltergeist has taken over and is trying to wreck your business. However, the point of knowing the root cause is being able to act to resolve the problem.

Intelligent automation uses predictive analytics to drive automation to fix problems before they impact business. A complete AIOps solution will be able to invoke automated workflows and update tickets.

Myth 5: AIOps purpose is to fix problems having the biggest impacts on IT

Ah – this is a tricky (or treat) one. Sounds like a fact on the surface. After all, being able to prioritize based on impact is important – right? Of course, but it’s not only IT impact but it’s paramount to understand business impact.

Choose an AIOps solution that provides service-driven business insights. These are business service-based views used to identify which issue is impacting your KPIs most. The best AIOps solution uses smart service modeling to map issues to associated business services – enabling intelligent prioritization to minimize impact on customer experience and your business.

Selecting the right AIOps solution doesn’t have to be scary

I hope that by debunking the above myths I’ve helped ensure your AIOps journey isn’t as scary as a trip through a Halloween Haunted House.

Check out this video, 5 Things to Look for in an AIOps Solution, to learn why AIOps from Broadcom can help make choosing an AIOps solution less frightful this Halloween season.

AIOps Silicon Insights Delivers Unparalleled Network Visibility and AI-Driven Remediation

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 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 realtime. 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 Jericho 2 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 Jericho 2 include:

  • 10 Tbps in a single device, delivering hundreds of Mbps (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 Jericho 2 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: