An In-Depth Look at Moogsoft Observe: Taking IT Problem Detection from the Center to the Source

Phil Tee | Wednesday August 29 2018

Finally, IT has absolute visibility and total observability into any problem, anywhere. Early access coming November 2018.

An In-Depth Look at Moogsoft Observe: Taking IT Problem Detection from the Center to the Source

Today, we announced the newest addition to the AIOps platform with Moogsoft Observe. Moving from centralized analytics outwards to the data source, this groundbreaking new technology extends the core AIOps platform capabilities to provide IT teams with absolute visibility and total observability into any customer-impacting problem, wherever it occurs.

Here’s what makes Observe unique: First, it is a single-agent technology. Secondly, it can operate across all environments, including cloud instances, workloads, and containers, as well as on-premises systems and applications. Third, it is the only technology in the world that ingests time-series and metrics data in real-time and applies AI to detect problems at the source.

Beyond this, Moogsoft Observe is the only solution that doesn’t rely on a data lake. This is key to how the Moogsoft point-of-view on problem detection and remediation differs from the rest of the industry.

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Data lakes are a sort of Ponzi scheme — the more data you store, the more you need to extract any value.

By storing only anomalous and contextual data, Observe gives IT teams the specific insights needed to improve their applications and services while avoiding inefficient methods of collecting and storing what is oftentimes meaningless and irrelevant data. The result is the kind of advanced trend and historical analysis that IT needs without the sky-high storage costs.

Detecting problems at the source is about much more than being cost-effective; it’s ultimately about providing the best service quality imaginable. In my view, data lakes are a sort of Ponzi scheme — the more data you store, the more you need to extract any value. Ultimately, the price is not just the cost of the storage, it is paid in service interruptions and missed incidents.

But without data lakes, latency decreases and responsiveness increases. Without data lakes, IT manages only what’s important, so bandwidth increases. Our tests show that Observe reduces the time to detect a problem by up to 60% while cutting nearly 90% of the storage and communication costs per bit of information.

Now that we’ve put aside the need for data lakes, we’re also challenging the premise that IT teams need to hire dedicated data scientists in order to operate technology that vendors have sold them. With Observe, a new suite of patent-pending AI algorithms handles the heavy-duty data analytics traditionally left to dedicated teams of data scientists.

This is critical if you are in a role where you are asked to do more, and to operate in a broad context. Observe is the answer for generalists like Site Reliability Engineers and DevOps practitioners. Put simply, there’s no need to write queries or manage ML toolkits with Observe.

Moogsoft Observe is a part of the greater Moogsoft AIOps platform, but we think it’s important that you be able to deploy it independently. Given that, we will be operating an early access beta program beginning this November. We’d like to invite you to join us and see the future of problem detection — from the center all the way to the edge — by registering for the beta today.

Moogsoft is a pioneer and leading provider of AIOps solutions that help IT teams work faster and smarter. With patented AI analyzing billions of events daily across the world’s most complex IT environments, the Moogsoft AIOps platform helps the world’s top enterprises avoid outages, automate service assurance, and accelerate digital transformation initiatives.

Phil Tee

About the Author

Phil’s passion has been IT operational management ever since he co-founded OTT (better known as Micromuse). Having also invented Netcool and built RiverSoft to a successful IPO, Phil now leads the next big revolution in IT event management with Moogsoft, where he maintains a passionate commitment to innovation, including personally leading the company’s numerous product functions.

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