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OpsRamp Announces Spring 2021 Release

OpsRamp announced the OpsRamp Spring 2021 Release, providing self-service onboarding for faster migration to the public cloud, powerful and customizable dashboards for visualization of hybrid infrastructure performance, and Prometheus metrics ingestion for using homegrown monitoring data within the OpsRamp platform.

OpsRamp’s latest release helps cloud operators achieve faster time-to-value and greater return on investment for their cloud modernization initiatives.

The OpsRamp Spring 2021 Release also introduces new monitoring integrations for Microsoft Azure and Cisco HyperFlex along with enhanced platform navigation for easy access to key product capabilities.

Highlights of the OpsRamp Spring 2021 Release include:

- Rapid Onboarding. OpsRamp’s hybrid cloud wizard delivers a self-contained guide for discovering and monitoring multi-cloud and cloud native infrastructure. Once IT teams provide their cloud infrastructure details, OpsRamp auto-monitoring onboards cloud resources and displays performance metrics within minutes. The platform currently supports auto-monitoring for Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) cloud services along with Kubernetes distributions such as OpenShift and K3s as well as popular Linux distributions.

- Cloud Native Metrics Observability. Kubernetes admins can now ingest Prometheus metrics into OpsRamp for holistic visibility and faster troubleshooting across cloud native infrastructure. Our pull-based mechanism for scraping Prometheus metrics across Kubernetes clusters ensures faster visualization, data federation, and long-term retention of Prometheus insights.

- Data-Driven Insights for Hybrid IT Management. OpsRamp’s new dashboarding model allows cloud operators to visualize any data with a flexible querying framework. Dashboards 2.0 are customizable widgets powered by Prometheus Query Language (PromQL) with the ability to import/export dashboards and customize color palettes and fonts along with out-of-the-box support for a growing number of cloud services.

- Flexible and Centralized Alerting. New alert definition models offer greater flexibility for setting alerts along with streamlined mechanisms to alert on metric data collected by OpsRamp. CloudOps teams can centrally set thresholds to generate alerts for auto-monitored resources and then use relevant insights to keep their IT services up and running.

- Comprehensive Cloud Monitoring. OpsRamp currently offers more than 160 monitoring integrations across leading public cloud providers such as AWS, Azure, and GCP. The OpsRamp Spring 2021 Release offers expanded coverage for Microsoft Azure with metrics support for Blob Storage, Table Storage, File Storage, BatchAI Workspaces, BlockChain, Databox Edge, Logic Integration Service Environment, and Kusto Clusters.

- HyperConverged Infrastructure Monitoring. OpsRamp can not only discover and monitor Cisco HyperFlex components such as cluster nodes, hosts, datastores, and virtual machines but also ingest HyperFlex events into the OpsRamp AIOps platform for faster root cause diagnostics. The platform also supports the discovery and monitoring of physical components of Dell EMC VxRail appliances along with ingestion of VxRail software and hardware events.

“CloudOps teams are shackled by legacy IT operations tools that were never designed to handle the dynamic and ephemeral nature of public cloud infrastructure,” said Ciaran Byrne, VP of Product Management at OpsRamp. “OpsRamp’s digital operations management platform enables faster discovery and monitoring of production workloads across multi-cloud environments along with data-driven insights for managing the health and performance of a distributed infrastructure ecosystem.”

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OpsRamp Announces Spring 2021 Release

OpsRamp announced the OpsRamp Spring 2021 Release, providing self-service onboarding for faster migration to the public cloud, powerful and customizable dashboards for visualization of hybrid infrastructure performance, and Prometheus metrics ingestion for using homegrown monitoring data within the OpsRamp platform.

OpsRamp’s latest release helps cloud operators achieve faster time-to-value and greater return on investment for their cloud modernization initiatives.

The OpsRamp Spring 2021 Release also introduces new monitoring integrations for Microsoft Azure and Cisco HyperFlex along with enhanced platform navigation for easy access to key product capabilities.

Highlights of the OpsRamp Spring 2021 Release include:

- Rapid Onboarding. OpsRamp’s hybrid cloud wizard delivers a self-contained guide for discovering and monitoring multi-cloud and cloud native infrastructure. Once IT teams provide their cloud infrastructure details, OpsRamp auto-monitoring onboards cloud resources and displays performance metrics within minutes. The platform currently supports auto-monitoring for Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) cloud services along with Kubernetes distributions such as OpenShift and K3s as well as popular Linux distributions.

- Cloud Native Metrics Observability. Kubernetes admins can now ingest Prometheus metrics into OpsRamp for holistic visibility and faster troubleshooting across cloud native infrastructure. Our pull-based mechanism for scraping Prometheus metrics across Kubernetes clusters ensures faster visualization, data federation, and long-term retention of Prometheus insights.

- Data-Driven Insights for Hybrid IT Management. OpsRamp’s new dashboarding model allows cloud operators to visualize any data with a flexible querying framework. Dashboards 2.0 are customizable widgets powered by Prometheus Query Language (PromQL) with the ability to import/export dashboards and customize color palettes and fonts along with out-of-the-box support for a growing number of cloud services.

- Flexible and Centralized Alerting. New alert definition models offer greater flexibility for setting alerts along with streamlined mechanisms to alert on metric data collected by OpsRamp. CloudOps teams can centrally set thresholds to generate alerts for auto-monitored resources and then use relevant insights to keep their IT services up and running.

- Comprehensive Cloud Monitoring. OpsRamp currently offers more than 160 monitoring integrations across leading public cloud providers such as AWS, Azure, and GCP. The OpsRamp Spring 2021 Release offers expanded coverage for Microsoft Azure with metrics support for Blob Storage, Table Storage, File Storage, BatchAI Workspaces, BlockChain, Databox Edge, Logic Integration Service Environment, and Kusto Clusters.

- HyperConverged Infrastructure Monitoring. OpsRamp can not only discover and monitor Cisco HyperFlex components such as cluster nodes, hosts, datastores, and virtual machines but also ingest HyperFlex events into the OpsRamp AIOps platform for faster root cause diagnostics. The platform also supports the discovery and monitoring of physical components of Dell EMC VxRail appliances along with ingestion of VxRail software and hardware events.

“CloudOps teams are shackled by legacy IT operations tools that were never designed to handle the dynamic and ephemeral nature of public cloud infrastructure,” said Ciaran Byrne, VP of Product Management at OpsRamp. “OpsRamp’s digital operations management platform enables faster discovery and monitoring of production workloads across multi-cloud environments along with data-driven insights for managing the health and performance of a distributed infrastructure ecosystem.”

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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 ...