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OpsRamp Now Supports 2500+ Integrations

OpsRamp now supports more than 2,500 integrations with other technologies, covering virtually every commonly used technology in MSP and enterprise IT environments.

These integrations include cloud and hybrid infrastructure environments which OpsRamp monitors, such as Amazon Web Services, Microsoft Azure, Google Cloud, Cisco and VMware, as well as other IT operations management tools with which OpsRamp interacts and exchanges data, such as ServiceNow, Splunk and Datadog.

This extensive integration library allows OpsRamp customers and partners to consolidate IT operations management tools at their own pace. OpsRamp can either replace legacy tools or use them as data sources in more of a manager of managers role, integrating and correlating metrics and events from multiple monitoring tools.

“OpsRamp is built to work with all of our customers’ existing point tools and hybrid IT infrastructure,” said Varma Kunaparaju, OpsRamp CEO. “Whether you are replacing legacy tools or trying to integrate your events and performance metrics with your newer cloud monitoring tools, we can support you on your journey to modernize IT operations management with AIOps. Our extensive integration support shows just how open, flexible and extensible the OpsRamp Platform is.”

OpsRamp provides integrations with tools across the modern IT ecosystem, including the following:

- Applications/Application Servers: Dell, Hitachi, IBM, Microsoft, Nginx

- Databases: Apache Cassandra, CockroachDB, Couchbase, IBM DB2, Microsoft SQL Server

- Networks: Aruba, Brocade, Cisco, HPE, Intel, Juniper

- Operating Systems: CentOS, Linux, Microsoft Windows, Red Hat

- Virtualization: Cisco, Microsoft Hyper-V, Nutanix, VMware

- Public Cloud: Amazon Web Services, Google Cloud Platform, Microsoft Azure, Alibaba

- Storage: Dell, EMC, Hitachi, NetApp, Pure Storage

- ITSM: Atlassian, Autotask, BMC, Freshservice, ServiceNow, Zendesk

- SSO: Azure Active Directory, Centrify, Okta, OneLogin, PingIdentity

- Monitoring/3rd Party Events: AppDynamics, Datadog, Dynatrace, New Relic, Prometheus, Splunk

For integrations not yet supported out-of-the-box, OpsRamp customers and partners can easily build custom integrations between OpsRamp and any tool that supports REST APIs. OpsRamp’s API developer experience supports the OpenAPI specification, an industry-standard language-agnostic interface for describing and documenting RESTful APIs. Inbound authentication between OpsRamp and integrated tools is handled by OAUTH2 and/or Webhooks.

OpsRamp’s ever-growing integration ecosystem provides IT and service delivery teams with the hybrid visibility, control and service-centric AIOps they need to manage the real-time health and performance of their digital services.

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OpsRamp Now Supports 2500+ Integrations

OpsRamp now supports more than 2,500 integrations with other technologies, covering virtually every commonly used technology in MSP and enterprise IT environments.

These integrations include cloud and hybrid infrastructure environments which OpsRamp monitors, such as Amazon Web Services, Microsoft Azure, Google Cloud, Cisco and VMware, as well as other IT operations management tools with which OpsRamp interacts and exchanges data, such as ServiceNow, Splunk and Datadog.

This extensive integration library allows OpsRamp customers and partners to consolidate IT operations management tools at their own pace. OpsRamp can either replace legacy tools or use them as data sources in more of a manager of managers role, integrating and correlating metrics and events from multiple monitoring tools.

“OpsRamp is built to work with all of our customers’ existing point tools and hybrid IT infrastructure,” said Varma Kunaparaju, OpsRamp CEO. “Whether you are replacing legacy tools or trying to integrate your events and performance metrics with your newer cloud monitoring tools, we can support you on your journey to modernize IT operations management with AIOps. Our extensive integration support shows just how open, flexible and extensible the OpsRamp Platform is.”

OpsRamp provides integrations with tools across the modern IT ecosystem, including the following:

- Applications/Application Servers: Dell, Hitachi, IBM, Microsoft, Nginx

- Databases: Apache Cassandra, CockroachDB, Couchbase, IBM DB2, Microsoft SQL Server

- Networks: Aruba, Brocade, Cisco, HPE, Intel, Juniper

- Operating Systems: CentOS, Linux, Microsoft Windows, Red Hat

- Virtualization: Cisco, Microsoft Hyper-V, Nutanix, VMware

- Public Cloud: Amazon Web Services, Google Cloud Platform, Microsoft Azure, Alibaba

- Storage: Dell, EMC, Hitachi, NetApp, Pure Storage

- ITSM: Atlassian, Autotask, BMC, Freshservice, ServiceNow, Zendesk

- SSO: Azure Active Directory, Centrify, Okta, OneLogin, PingIdentity

- Monitoring/3rd Party Events: AppDynamics, Datadog, Dynatrace, New Relic, Prometheus, Splunk

For integrations not yet supported out-of-the-box, OpsRamp customers and partners can easily build custom integrations between OpsRamp and any tool that supports REST APIs. OpsRamp’s API developer experience supports the OpenAPI specification, an industry-standard language-agnostic interface for describing and documenting RESTful APIs. Inbound authentication between OpsRamp and integrated tools is handled by OAUTH2 and/or Webhooks.

OpsRamp’s ever-growing integration ecosystem provides IT and service delivery teams with the hybrid visibility, control and service-centric AIOps they need to manage the real-time health and performance of their digital services.

The Latest

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 4 covers negative impacts of AI ...