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OpsRamp Releases 14 Day Trial

OpsRamps announces a 14-day free trial of its platform.

The trial version combines discovery, monitoring, alerting, and dashboarding for cloud infrastructure services in a frictionless, self-service solution that delivers results in less than one hour.

The OpsRamp free trial is perfect for cloud operators and cloud engineers in mid-to-large enterprises (500+ employees) who need a modern IT infrastructure monitoring solution for cloud and cloud native environments.

The trial version includes:

- Preloaded Google Cloud Platform resources: Users can choose to onboard their own environment for real-time insights, or get started fast with our pre-provisioned GCP infrastructure that’s ready to use.

- Guided and automated onboarding: The OpsRamp onboarding wizard delivers auto monitoring for cloud services, containers, and Linux servers, ensuring rapid time-to-value for cloud discovery and onboarding.

- Cloud and cloud native monitoring: Cloud operators can onboard and track the health and performance of their cloud infrastructure, including 160+ cloud services across Amazon Web Services, Microsoft Azure, and Google Cloud Platform. The free trial also can monitor performance of on-prem Kubernetes clusters as well as managed Kubernetes environments such as Azure Kubernetes Service, Google Kubernetes Engine, or Amazon Elastic Kubernetes Service. IT teams can also unify their metrics with long-term data retention support for Prometheus monitoring.

- Customizable Dashboards: Cloud infrastructure teams can build customizable dashboards to track the metrics that they truly care about. Operators can extract relevant insights from a time-series database using Prometheus Query Language (PromQL). Dashboards currently support time series, single value, image, and text data for granular performance insights.

- Alerting: Cloud operators can create centralized alert definitions that spell out warning and critical thresholds for a metric. They can then filter by key tags in the metrics, configure a threshold, and build routing policies to properly escalate that alert.

In less than 20 minutes of registering for the trial, users can onboard their cloud resources, access their first metrics and alerts, and track the performance of their cloud resources through out-of-the-box dashboards. They can also invite members of their organization to participate.

Users who love the free trial solution will be prompted to upgrade to the paid version which will allow them to transition their existing resources without any friction.

“For too long, IT operations management vendors have made the process of choosing and using their solutions a cumbersome process. Buyers have been confronted with expensive, patched-together solutions that require lengthy deployment cycles along with long-term maintenance contracts,” said Michael Fisher, Director of Product Management at OpsRamp. “We are applying a new, DevOps-like model to cloud ops management built around ease-of-set up and ease-of-use. We think IT operators will opt for a modern solution that allows them to discover, monitor and manage their cloud and container environments in a matter of minutes.”

The free trial also provides OpsRamp’s reseller partners an easy, on-demand way to showcase OpsRamp’s value to their enterprise customers with an innovative cloud monitoring solution.

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Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

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OpsRamp Releases 14 Day Trial

OpsRamps announces a 14-day free trial of its platform.

The trial version combines discovery, monitoring, alerting, and dashboarding for cloud infrastructure services in a frictionless, self-service solution that delivers results in less than one hour.

The OpsRamp free trial is perfect for cloud operators and cloud engineers in mid-to-large enterprises (500+ employees) who need a modern IT infrastructure monitoring solution for cloud and cloud native environments.

The trial version includes:

- Preloaded Google Cloud Platform resources: Users can choose to onboard their own environment for real-time insights, or get started fast with our pre-provisioned GCP infrastructure that’s ready to use.

- Guided and automated onboarding: The OpsRamp onboarding wizard delivers auto monitoring for cloud services, containers, and Linux servers, ensuring rapid time-to-value for cloud discovery and onboarding.

- Cloud and cloud native monitoring: Cloud operators can onboard and track the health and performance of their cloud infrastructure, including 160+ cloud services across Amazon Web Services, Microsoft Azure, and Google Cloud Platform. The free trial also can monitor performance of on-prem Kubernetes clusters as well as managed Kubernetes environments such as Azure Kubernetes Service, Google Kubernetes Engine, or Amazon Elastic Kubernetes Service. IT teams can also unify their metrics with long-term data retention support for Prometheus monitoring.

- Customizable Dashboards: Cloud infrastructure teams can build customizable dashboards to track the metrics that they truly care about. Operators can extract relevant insights from a time-series database using Prometheus Query Language (PromQL). Dashboards currently support time series, single value, image, and text data for granular performance insights.

- Alerting: Cloud operators can create centralized alert definitions that spell out warning and critical thresholds for a metric. They can then filter by key tags in the metrics, configure a threshold, and build routing policies to properly escalate that alert.

In less than 20 minutes of registering for the trial, users can onboard their cloud resources, access their first metrics and alerts, and track the performance of their cloud resources through out-of-the-box dashboards. They can also invite members of their organization to participate.

Users who love the free trial solution will be prompted to upgrade to the paid version which will allow them to transition their existing resources without any friction.

“For too long, IT operations management vendors have made the process of choosing and using their solutions a cumbersome process. Buyers have been confronted with expensive, patched-together solutions that require lengthy deployment cycles along with long-term maintenance contracts,” said Michael Fisher, Director of Product Management at OpsRamp. “We are applying a new, DevOps-like model to cloud ops management built around ease-of-set up and ease-of-use. We think IT operators will opt for a modern solution that allows them to discover, monitor and manage their cloud and container environments in a matter of minutes.”

The free trial also provides OpsRamp’s reseller partners an easy, on-demand way to showcase OpsRamp’s value to their enterprise customers with an innovative cloud monitoring solution.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.