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Key Summary
This article from InApps Technology, authored by Phu Nguyen, details a demo of OpsRamp, an AIOps platform designed to monitor and manage complex hybrid infrastructures across cloud, data centers, containers, and monolithic platforms. Presented by Jordan Sher (Senior Director of Marketing) and Curt Thorin (Solutions Consultant), the demo showcases how OpsRamp uses AI to streamline incident management and enhance operational efficiency. Key points include:
- Purpose of OpsRamp:
- Consolidates monitoring of disparate hybrid infrastructures into a single console interface, simplifying management across cloud and on-premises environments.
- Uses AI-driven analysis to process and correlate massive volumes of events, reducing manual workload for IT teams.
- Demo Highlights:
- Scale of Data: Emulated a typical organization with 43,000 alerts per week, processing nearly 2 million raw events from hybrid infrastructures.
- AI Efficiency: Reduced events to 700,000 alerts and 10,000 inferences, achieving 92% optimization by filtering noise and pinpointing critical issues.
- Quote (Jordan Sher): “It dramatically reduces the number of raw alerts that [IT teams] need to deal with, which dramatically decreases the number of incidents that they need to escalate.”
- Real-Time Monitoring: Displays performance issues like memory leaks or CPU surges in near real-time, with drill-down capabilities to identify specific issues (e.g., SQL cluster database problems).
- Quote (Curt Thorin): “Making sense of the noise we’re filtering.”
- Business Impact:
- Customer-Centric: Enhances end-user experience by automating detection and communication of issues (e.g., transaction lags in online retail) to the appropriate DevOps team.
- Service-Centric Design: Built by experts experienced in delivering services to large clients, addressing the need for a unified platform for hybrid enterprises.
- InApps Insight:
- Aligns with Microsoft’s Power Platform and Azure, leveraging Power Fx for low-code AIOps dashboards and Azure Durable Functions for scalable event processing.
- InApps Technology integrates Node.js, Vue.js, GraphQL APIs (e.g., Apollo), and Azure to support OpsRamp-like solutions, targeting DevOps teams and enterprises with Millennial-driven expectations for efficient, AI-driven infrastructure management.
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In this demo, we see firsthand how OpsRamp was created to serve as an AIOps platform to monitor and analyze what the company describes as complex and often disparate hybrid infrastructures. These infrastructures might typically span across several data cloud environments or data centers on container or monolithic platforms — which OpsRamp condenses into a single console interface.
Taking us on this demo tour are Jordan Sher, senior director of marketing at OpsRamp, and Curt Thorin, an OpsRamp solutions consultant.
This demo was set up to emulate the volume of incidents generated at a typical organization, totaling 43,000 alerts per week. “This [amount of data] is incredible for an IT team to manage. When you bring it up [with OpsRamp], it dramatically reduces the number of raw alerts that they need to deal with, which dramatically decreases the number of incidents that they need to escalate,” Sher said. “And it simplifies their life by creating these inferences, which correlate alerts, so that the business doesn’t have to do that manually anymore.”
OpsRamp’s dashboard showed, in the demo, how the AI had processed almost two million raw events originating from across a network consisting of hybrid infrastructures. The idea is to pinpoint the problem areas by “making sense of the noise we’re filtering,” Thorin said. The analysis revealed that out of the almost two million events — thanks largely to the AI analysis — only 700,000 alerts were generated. All told, 10,000 inferences were created as issues that needed to be resolved, but “we’ve optimized 92% of it,” Thorin said.
Thorin showed how OpsRamp displays performance in “almost real-time” if there might be a memory leak or a surge in CPU usage. “I can then drill into it and start to see how we’ve modeled this service from an operational infrastructure within ops,” Thorin said. In one instance, Thorin showed how an issue was detected in a database, and more exactly, on a specific SQL clusters.
The goal of any tool or platform, of course, is to ultimately benefit an organization’s end-use customers. On a very basic level. In the online retail space, for example, OpsRamp serves as a direct conduit to aggravations an end-use customer might by automating and communicating software glitches as they occur. In the event of a consistent several-second lag for a particular on-line retail transaction online customers might be having, for example, Thorin showed how the information is rapidly communicated to the right DevOps team to take action. This functionality demonstrates how the platform was born out of a need for such a service-centric apps platform for hybrid enterprises, Sher said.
“Our company is built of folks who worked in providing them service delivery across a variety of different organizations to very big clients,” Sher said.
Source: InApps.net
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