
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
While 87% of manufacturing leaders and technical specialists report that ROI from their AIOps initiatives has met or exceeded expectations, only 37% say they are fully prepared to operationalize AI at scale, according to The Future of IT Operations in the AI Era, a report from Riverbed ...
Many organizations rely on cloud-first architectures to aggregate, analyze, and act on their operational data ... However, not all environments are conducive to cloud-first architectures ... There are limitations to cloud-first architectures that render them ineffective in mission-critical situations where responsiveness, cost control, and data sovereignty are non-negotiable; these limitations include ...
For years, cybersecurity was built around a simple assumption: protect the physical network and trust everything inside it. That model made sense when employees worked in offices, applications lived in data centers, and devices rarely left the building. Today's reality is fluid: people work from everywhere, applications run across multiple clouds, and AI-driven agents are beginning to act on behalf of users. But while the old perimeter dissolved, a new one quietly emerged ...
For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...
Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...
Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...
Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...
Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...
AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...
More data center leaders are reducing their reliance on utility grids by investing in onsite power for rapidly scaling data centers, according to the Data Center Power Report from Bloom Energy ...