Recently, Facebook experienced an outage. If companies relied on that app to do business, their IT teams were likely swamped with end-user complaint calls.
How would teams traditionally respond? They’d dive deep into the rabbit hole, analyzing issues on a case-by-case basis, asking countless questions, including:
- Could there be a problem with the enterprise network?
- Is the service provider experiencing issues?
- Are just a few users affected or is the issue more systemic?
Traditionally, this manual process requires significant knowledge sharing and time to complete as teams break the problem into smaller pieces to triangulate an issue’s root cause.
Oftentimes, it’s an enterprise network that experiences connectivity issues—not apps like Facebook.
Some companies pay an arm and a leg to leverage highly reliable WAN links, such as MPLS, for connecting to the internet and connecting branches to their data centers. Conversely, they may save a buck or two by using commodity links, like cable or DSL, which deliver less reliability. Both choices introduce tough tradeoffs—could there be a better way to ensure enterprise-wide connectivity?
Enter SD-WAN.
Combining the same service-level agreement (SLA) as a dependable WAN link with the affordability of a commodity link, SD-WAN specializes in handling brownout situations, rerouting link traffic to maintain network connectivity — ensuring users’ access to their must-have apps.
And by incorporating artificial intelligence for IT operations (AIOps), teams can harness the power of analytics to radically reduce their response time, ensuring that if problems do happen, they get fixed fast. In fact, 90% of IT professionals acknowledge that powering network management with AIOps will improve their companies’ business outcomes.
Drowning in Data: Understanding Traditional Network Issue Investigation Headaches
To determine the root cause of a service disruption, teams spend considerable time assessing the landscape of all the different apps that people use and the links they follow to use them. These apps could be located anywhere—forcing teams to find needles across vast haystacks of data to determine what went wrong.
And this data is exploding at such an extraordinarily high rate that it’s practically impossible for anyone to keep track of it all. Only by leveraging an advanced analytics system like AIOps can teams gain the necessary insights to swiftly solve problems.
SD-WAN and AIOps: A Problem-Solving Dream Team
How do SD-WAN and AIOps work together to enable a highly reliable, always-connected network?
SD-WAN quickly addresses all potential local issues and optimizes performance and connectivity across multiple WAN links—or even just a single WAN link that may be unreliable. SD-WAN also ensures that business-critical apps are prioritized correctly and are offered the precise amount of error correction that avoids any issues or disruptions as much as possible over the WAN.
Where does AIOps come into play? It analyzes data at a far more granular level for extended periods over a global topology. What is it looking for? Everything. It’s examining emerging patterns that are impacting individual apps. It’s searching for systemic issues that affect multiple SD-WAN edge devices simultaneously, worldwide. It could also be investigating how edges or apps are being affected over a particular time period.
By surfacing all that data, AIOps analyzes much more than SD-WAN can. And by deriving insights from that data, it highlights issues affecting everything from a lone user on a single application to a systemic issue that’s impacting an app across a far broader cohort of users. In certain cases, AIOps can cue the SD-WAN to heal itself and automatically fix the problem, then verify that the issue was fixed. As a result, end-users remain connected to their network.
Inside a Wholly Adopted SD-WAN/AIOps Environment
Imagine you’re an IT admin, supporting an extremely complex enterprise network, spanning thousands of different sites that use diverse security services for connecting to apps. Even if you’re on a huge team that’s charged with monitoring the network, it would be nearly impossible to have full visibility across the network to solve problems as they occur.
By adopting SD-WAN together with AIOps, you gain a superpower. No, you won’t be able to fly or become invisible, but AIOps will make you omniscient, enabling you to:
- Harness powerful analytics firepower to find and fix network trouble spots instantly and precisely before users complain—in some cases before they even notice
- Understand which sites perform better than others to pinpoint where improvements can be made
- Propose configuration changes that help the network self-optimize and self-heal
- Detect and optimize degraded links to boost user experience
And if issues ever do arise, AIOps advises you immediately as it monitors the network 24/7, providing you with full situational awareness and insights, solving problems as they occur.
SD-WAN & AIOps: Maintaining Connectivity by Self-Healing
The Facebook event was unusual in that it globally impacted the world’s users, who couldn’t access the app through any Facebook data center. In that scenario, AIOps simply identified the app disruption and noted the root cause.
But what if the situation had been different? For example, imagine if Facebook’s U.S. west coast datacenters were deemed unavailable but its east coast datacenters were operational. By combining SD-WAN with AIOps, a similarly affected company could have performed diagnosis and ensured app connectivity.
How could that have played out?
First, AIOps would have detected the issue and its root cause. It would have reported that the application was unreachable to users on the west coast but available to users on the east coast. Finally, SD-WAN would have self-healed by rerouting end-user application traffic to the eastern data centers to maintain app connectivity.
Using the old-school method of manually monitoring and troubleshooting networks is nearly impossible for most IT teams. Instead, teams are relying on SD-WAN and AIOps. This combined capability gives teams an unbeatable superpower, enabling them to substantially improve connectivity across the enterprise and rapidly respond to issues as they occur.
