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OpsRamp Announces Free AIOps

OpsRamp announced a new promotion for IT operations teams facing unusual challenges brought on by the Covid-19 pandemic. All new OpsRamp customers that purchase the company’s hybrid discovery and multi-cloud monitoring solution will now receive free AIOps and remote access management platform capabilities for one year.

OpsRamp’s hybrid discovery and multi-cloud monitoring solution provides everything that IT teams need to deliver business resilience and enable optimal customer experiences. OpsRamp’s ready-to-use and custom integrations for third-party monitoring and IT service management tools help users quickly identify the cause of problems and solve issues with the right incident context. Artificial intelligence and machine learning (AIOps) algorithms power OpsRamp’s event management capabilities allowing enterprise IT organizations and managed service providers to scale their digital operations and ensure organizational flexibility.

- Service-Centric AIOps. OpsRamp’s AIOps capabilities can help reduce up to 95% of the human time spent on stressful and (often) reactive incident management. IT operations teams can reduce alert overload by focusing on the most critical incidents and access contextual data for faster problem resolution. OpsRamp’s dynamic alerting delivers timely notifications on breach of a critical threshold so that IT operators can proactively fix issues before users notice. Incidents can be promptly escalated to on-call teams using either multi-channel alert notifications (email, text, and voice) or bidirectional service desk notifications for faster problem recognition and resolution.

- Secure Remote Access. Enterprises can allow both internal IT teams and external partner staff to securely access, troubleshoot, and restore business services using remote consoles. Secure remote consoles ensure IT administrators can access only authorized resources with role-based access controls. Session recordings enable change management, compliance, and training with reliable audit trails by recording every action taken by an IT operator.

“IT operations teams are now facing unique challenges to maintain and accelerate organizational growth, customer satisfaction, and employee productivity,” said Varma Kunaparaju, CEO of OpsRamp. “But that doesn’t mean that they have to do it alone. OpsRamp is committed to helping customers with more flexible and economic options for improving hybrid infrastructure monitoring and real-time incident management.”

Enterprise IT operations teams and managed service providers can immediately sign up for this program.

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OpsRamp Announces Free AIOps

OpsRamp announced a new promotion for IT operations teams facing unusual challenges brought on by the Covid-19 pandemic. All new OpsRamp customers that purchase the company’s hybrid discovery and multi-cloud monitoring solution will now receive free AIOps and remote access management platform capabilities for one year.

OpsRamp’s hybrid discovery and multi-cloud monitoring solution provides everything that IT teams need to deliver business resilience and enable optimal customer experiences. OpsRamp’s ready-to-use and custom integrations for third-party monitoring and IT service management tools help users quickly identify the cause of problems and solve issues with the right incident context. Artificial intelligence and machine learning (AIOps) algorithms power OpsRamp’s event management capabilities allowing enterprise IT organizations and managed service providers to scale their digital operations and ensure organizational flexibility.

- Service-Centric AIOps. OpsRamp’s AIOps capabilities can help reduce up to 95% of the human time spent on stressful and (often) reactive incident management. IT operations teams can reduce alert overload by focusing on the most critical incidents and access contextual data for faster problem resolution. OpsRamp’s dynamic alerting delivers timely notifications on breach of a critical threshold so that IT operators can proactively fix issues before users notice. Incidents can be promptly escalated to on-call teams using either multi-channel alert notifications (email, text, and voice) or bidirectional service desk notifications for faster problem recognition and resolution.

- Secure Remote Access. Enterprises can allow both internal IT teams and external partner staff to securely access, troubleshoot, and restore business services using remote consoles. Secure remote consoles ensure IT administrators can access only authorized resources with role-based access controls. Session recordings enable change management, compliance, and training with reliable audit trails by recording every action taken by an IT operator.

“IT operations teams are now facing unique challenges to maintain and accelerate organizational growth, customer satisfaction, and employee productivity,” said Varma Kunaparaju, CEO of OpsRamp. “But that doesn’t mean that they have to do it alone. OpsRamp is committed to helping customers with more flexible and economic options for improving hybrid infrastructure monitoring and real-time incident management.”

Enterprise IT operations teams and managed service providers can immediately sign up for this program.

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For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

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