OpsRamp Shows Unified IT Operations for Fast Incident Management
OpsRamp, an HPE company, claimed their turn in the spotlight during Cloud Field Day to demo their impressive unified and AI-powered IT operations management platform. The software-as-a-service solution addresses one of the most persistent challenges in modern IT operations: the complexity of managing multiple environments, tools, and data sources scattered across on-premises and cloud infrastructures.
OpsRamp’s foundation is based on a three-pronged strategy:
First, the platform provides unified observability by consolidating all data from applications, servers, network devices, and cloud environments into a single tool.
Second, it offers AI-powered analytics to help operators understand what’s happening across their infrastructure so they can prevent and solve problems.
Third, it includes intelligent automation for corrective actions when issues are detected, potentially reducing resolution times from days to hours.
The architecture’s flexibility stood out as particularly practical. OpsRamp offers both agent-based and agentless monitoring approaches, with their lightweight Go-based agent consuming minimal resources. The platform integrates with over 3,000 third-party tools and can act as a “monitor of monitors,” ingesting alerts from existing solutions via webhooks. Once the alerts are ingested, OpsRamp can apply its AI-powered analytics to do alert correlation. This coexistence capability addresses the reality that most organizations can’t just replace their entire monitoring stack overnight.
From a business perspective, the subscription-based licensing model seems straightforward, charging per monitored resource (e.g., a server, network device, wireless access point, or even a public cloud resource) with different ratios for different device types: a server counts as one resource, while four wireless access points count as one resource. The platform includes up to 50 metric series per resource with 12-month data retention for metrics by default.
What impressed me during the live demonstration was the platform’s alert correlation capabilities. The team showed how OpsRamp’s machine learning can identify cascading failures—like when a single network switch port failure triggers multiple alerts across virtualization layers, databases, and applications. Instead of overwhelming operators with many individual alerts that require manual correlation, the platform creates what OpsRamp calls “inference alerts” that group related incidents together and identify the probable root cause.
The TechArena Take – Transformative IT Incident Management
OpsRamp represents a holistic response to the persistent problem of IT operations complexity. The presenters made a compelling case for moving beyond the siloed tool approach where organizations may have separate platforms for network, storage, compute, database, and cloud monitoring. The combination of comprehensive observability, intelligent correlation, and governed automation creates a compelling value proposition. The platform’s ability to work alongside existing tools rather than requiring wholesale replacement makes it particularly attractive for enterprise environments with significant legacy investments.
The alert correlation capabilities using machine learning could genuinely transform how operations teams handle incidents. For organizations struggling with alert fatigue and the operational overhead of maintaining multiple monitoring silos and correlating the data to trouble-shoot issues, OpsRamp offers a remarkable solution.
OpsRamp, an HPE company, claimed their turn in the spotlight during Cloud Field Day to demo their impressive unified and AI-powered IT operations management platform. The software-as-a-service solution addresses one of the most persistent challenges in modern IT operations: the complexity of managing multiple environments, tools, and data sources scattered across on-premises and cloud infrastructures.
OpsRamp’s foundation is based on a three-pronged strategy:
First, the platform provides unified observability by consolidating all data from applications, servers, network devices, and cloud environments into a single tool.
Second, it offers AI-powered analytics to help operators understand what’s happening across their infrastructure so they can prevent and solve problems.
Third, it includes intelligent automation for corrective actions when issues are detected, potentially reducing resolution times from days to hours.
The architecture’s flexibility stood out as particularly practical. OpsRamp offers both agent-based and agentless monitoring approaches, with their lightweight Go-based agent consuming minimal resources. The platform integrates with over 3,000 third-party tools and can act as a “monitor of monitors,” ingesting alerts from existing solutions via webhooks. Once the alerts are ingested, OpsRamp can apply its AI-powered analytics to do alert correlation. This coexistence capability addresses the reality that most organizations can’t just replace their entire monitoring stack overnight.
From a business perspective, the subscription-based licensing model seems straightforward, charging per monitored resource (e.g., a server, network device, wireless access point, or even a public cloud resource) with different ratios for different device types: a server counts as one resource, while four wireless access points count as one resource. The platform includes up to 50 metric series per resource with 12-month data retention for metrics by default.
What impressed me during the live demonstration was the platform’s alert correlation capabilities. The team showed how OpsRamp’s machine learning can identify cascading failures—like when a single network switch port failure triggers multiple alerts across virtualization layers, databases, and applications. Instead of overwhelming operators with many individual alerts that require manual correlation, the platform creates what OpsRamp calls “inference alerts” that group related incidents together and identify the probable root cause.
The TechArena Take – Transformative IT Incident Management
OpsRamp represents a holistic response to the persistent problem of IT operations complexity. The presenters made a compelling case for moving beyond the siloed tool approach where organizations may have separate platforms for network, storage, compute, database, and cloud monitoring. The combination of comprehensive observability, intelligent correlation, and governed automation creates a compelling value proposition. The platform’s ability to work alongside existing tools rather than requiring wholesale replacement makes it particularly attractive for enterprise environments with significant legacy investments.
The alert correlation capabilities using machine learning could genuinely transform how operations teams handle incidents. For organizations struggling with alert fatigue and the operational overhead of maintaining multiple monitoring silos and correlating the data to trouble-shoot issues, OpsRamp offers a remarkable solution.
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