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Can Cloud Outages Be Prevented With AIOps?

DZone 's Guide to

Can Cloud Outages Be Prevented With AIOps?

Learn more about AIOps and see whether Cloud outages could be prevented by using it.

· AI Zone ·
Free Resource

What’s Behind the Recent Cloud Outages?

The recent spate of cloud-based system outages, including the extensive Google outage in June 2019, highlights the importance but also the vulnerabilities of this global network of backbone services. When something goes wrong, it can cascade across the thousands of digital enterprises who depend on them.

What makes these outages so maddening is that, in hindsight, they might have been avoided with the right knowledge. For example, the June 2019 disruption at Facebook was tied to “routine maintenance” followed by cloud networking provider Cloudflare experiencing a global outage apparently caused by “bad software deployment.” These errors led to a massive impact for hundreds of businesses.

The Inherent Vulnerability of the Digital Economy

So, if the “big guys” — with their wealth of IT resources and skills — can suffer from unexpected downtime, what does that mean for the rest of us? These outages serve as a wake-up call that domain-centric tools used in traditional IT operations are no longer sufficient today.

Today’s IT operations are expected to manage and maintain a virtualized, dynamic, intertwined IT ecosystem while supporting complex workloads and large user communities, all without missing a beat. However, manually monitoring an enterprise’s entire hybrid IT environment 24/7, all while trying to anticipate problems and diagnose root causes of system issues, is mostly reactive and not very effective. People simply can’t keep up with the deluge of data, system alerts, and events that happen on a daily basis. It’s too time-consuming to manually locate a specific log entry for a specific device, let alone correlate multiple log reports to an event.

The siloed operations of many IT departments compound the problem by slowing down coordination and response times. Fragmented information can lead to mistakes, reduced system performance, and potential security risks. With all its moving parts and interdependencies, we need new solutions designed for modern hybrid IT infrastructures, with their extensive set of legacy and third-party hardware, applications, and services.

AIOps Arms Your Staff With Greater Insight

Artificial intelligence for IT operations (AIOps) solutions combine big data, visualization, and AI/machine learning to improve system reliability by automating data and root cause analysis, predicting system issues, and prescribing appropriate solutions.

AIOps platforms work by ingesting data from IT systems across all domains, which they use to learn about and ultimately distinguish between normal and abnormal system behavior. Once the data is ingested from sources such as log files, status messaging, and alerts, the AIOps solution can then apply detailed analytics and machine learning to the data to discover patterns and anomalies related to how those systems perform.

AIOps platforms can identify relationships across applications and infrastructure, providing a consolidated overview and even a visual display of the entire IT ecosystem’s topology across the network. As incidents and alerts arise, the AIOps solution can uncover the underlying cause, identify which IT components are affected, and make recommendations if the issue recurs. IT operations team can then use the information to resolve the root causes of system outages and issues for faster MTTR response time.

Identify and Resolve Problems Before They Happen

Some AIOps platforms can also aid configuration planning, enabling IT teams to anticipate how system changes might impact the virtualized environment. Whether you’re planning a technology upgrade, migrating to the cloud, or installing patches, an AIOps platform can maintain an accurate and updated view into system assets, applications, dependencies, and the underlying infrastructure. This information could help companies like Facebook plan for and mitigate potential issues with their software maintenance project — before it causes an outage.

Better System Performance With AIOps

You don’t have to be a Google or AWS to realize the benefits of AIOps visualizing your entire hybrid IT ecosystem and streamlining routine tasks such as system monitoring, alert response, and problem diagnosis. By automating manual processes and providing an end-to-end view across all domains, AIOps solutions can enable rapid detection and investigation of IT incidents, delivering optimized systems uptime for better business results.

Topics:
aiops ,aiops tools ,aiops planning ,outages ,network analysis

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