Point Solution Monitoring vs. Domain-Agnostic AIOps. Which is Right for You?
Richard Whitehead | October 25, 2022

Just consider how much of your day relies on online digital technologies. Perhaps you hopped on an app to pre-order your morning coffee and then logged onto a platform to book a car to work. Or, perhaps you stayed home to work, using digital tools to connect with your colleagues and exchange information. Your weekend likely included a whole host of other tools — perhaps apps that helped you message friends to make dinner plans, crowd-source reviews for a new restaurant and predict the weather to ensure outdoor seating was a good idea.

Of course, your weekdays and weekends could include a slew of other digital apps and services — project management, music streaming, accounting, gaming and the list can go on.

The bottom line is: we live in a highly digital economy where apps and services touch just about every aspect of our lives. We not only want these technologies, we depend on them. So, every modern business must guarantee the performance and availability of their apps and services. But it’s not an easy task.

How do companies guarantee their business-critical uptime?

They invest in monitoring solutions — either point solution monitoring or domain-agnostic artificial intelligence for IT Operations (AIOps). Both tools gather data indicating how an IT environment is performing. And both have the ultimate goal of preventing outages, maintaining uptime and attaining continuous service assurance. But each solution takes a slightly different approach to monitoring.

We will walk you through the pros and cons of each approach to identify which is best for modern IT environments.

Point Solution Monitoring: Pros and Cons

Point solution monitoring looks at a single piece of a company’s technology stack – the digital experience, IT infrastructure, application or network.

Pro(s):

  • Point solutions are the historical solution to monitoring — and many have perfected their area of focus.
  • Point solutions solve problems at every stage: monitoring, observability and incident management.
  • Point solutions typically bring particular expertise to one piece of the availability puzzle.

Con(s):

  • Point solution monitoring produces siloed data that leaves gaps when trying to figure out the full picture of system performance.
  • Because human teams must piece together siloed data to figure out an issue, teams can miss vital context to an incident or outage. And missed context can slow mean time to recovery (MTTR).
  • Single domain monitoring tools proliferate in the tools stack, and teams spend too much time monitoring these tools for incidents and managing and maintaining them.

Domain-agnostic AIOps: pros and cons

AIOps ingests various kinds of data from various sources to give engineering teams a real-time understanding of issues affecting their technology’s availability and performance.

Pro(s):

  • Domain-agnostic AIOps connects the tissue between all tools’ alerts, so teams can get insights across an IT stack and identify root cause faster.
  • AIOps solutions enrich monitoring data, extracting insights to make data informative and actionable.
  • AIOps tools ingest various types of data, allowing teams to consolidate their copious monitoring tools, decreasing noise and alert fatigue.
  • AIOps automates the incident workflow in one platform to streamline incident response and decrease MTTR.

Con(s):

  • Domain-agnostic AIOps is a new way for many companies to think about incident management and can require significant change management.

…and the winner is!

Because our digital society is intolerant of downtime, companies must adopt monitoring tools that detect incidents before they impact business operations and consumers. Modern monitoring tools must identify anomalies early in the incident lifecycle and then expediently route the contextualized information to human teams so they can resolve incidents quickly. And they must act as the connective tissue across existing siloed monitoring tools, giving teams one place to go to manage the entire incident lifecycle.

Only AIOps can do this.

Perhaps Pankaj Prasad, Sr Principal Analyst at Gartner described AIOps best when he said the technology “connect[s] the dots to convey a story.” While point solutions give engineers all of the dots in a disorganized pile, domain-agnostic AIOps solutions deliver engineering teams with the comprehensive picture. This allows teams to identify the source of the problem earlier, respond more rapidly, improve availability outcomes — and, ultimately, compete in our digital economy.

Moogsoft is the AI-driven observability leader that provides intelligent monitoring solutions for smart DevOps. Moogsoft delivers the most advanced cloud-native, self-service platform for software engineers, developers and operators to instantly see everything, know what’s wrong and fix things faster.
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About the author

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Richard Whitehead

As Moogsoft's Chief Evangelist, Richard brings a keen sense of what is required to build transformational solutions. A former CTO and Technology VP, Richard brought new technologies to market, and was responsible for strategy, partnerships and product research. Richard served on Splunk’s Technology Advisory Board through their Series A, providing product and market guidance. He served on the Advisory Boards of RedSeal and Meriton Networks, was a charter member of the TMF NGOSS architecture committee, chaired a DMTF Working Group, and recently co-chaired the ONUG Monitoring & Observability Working Group. Richard holds three patents, and is considered dangerous with JavaScript.

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