How Moogsoft and Resolve Systems align beautifully and compliment each others’ functionality
The challenges that Enterprise IT Ops are facing today aren’t so different than what they’ve been facing for decades. There is too much noise and complexity across IT environments, making it difficult to detect incidents, understand relationships, and resolve issues in a proactive manner. The difference today is that the sheer scale, the rate of change, and the number of tools that need to be orchestrated together is all larger than ever before.
Moogsoft AIOps and Resolve Systems are two next-generation solutions that simplify IT Operations by addressing particular parts of the workflow. The complementary nature of the two products has led to a strong partnership between to two companies, yet there appears to be confusion in the market about what is complementary vs. what is competitive.
“We’re hearing from prospects that there is confusion between what Moogsoft does and what resource automation tools like Resolve Systems do. So here’s a quick refresher…
For the record, we do not compete with Resolve Systems. In fact, both our products align beautifully and compliment each others’ functionality.
Moogsoft AIOps has machine learning techniques to surface event signal from the noise, infer incidents from the event signal, and then drive dynamic teaming and collaborative workflow of operations people.
Ultimately, we provide earlier warning to incident stakeholders (causal and collateral), reduce the number of actionable tickets by making the appropriate parties situation aware, and reduce the MTTR by providing incident context and knowledge recycling.
During the event workflow, we have the ability to enrich the event and incident data. That can include triggering diagnostics automation information from resolve and, passing ‘known Incidents’ to Resolve for automatic remediation workflow.
Of course, if it’s the whole AIOps moniker that is confusing people… Well folks, wake up and smell the coffee — everyone is adding ML and AI to their platforms because: (a) they need to reduce the amount of configuration operators would need to do in the respective product, (b) potential competition all claims to have the capability, and (c) it increases the valuation of tech companies because investors and speculators love to hear about machine learning, data science and AI.”
– Mike Silvey, EVP, Moogsoft
About the author
An expert in IT operational management and technology commercialization, Mike launched SunNet Manager in the UK for Sun Microsystems before founding an open systems service management business at Micromuse where he brought several innovative service management tools into the European market (such as Remedy) and established key OEM relationships (Cisco, HP, Intel) that led to successful IPOs for both Micromuse and RiverSoft. Today, Mike is focused on and scaling Moogsoft by overseeing strategic business relationships with key partners around the globe.