

Find out in this report how the two Application Performance Monitoring (APM) and Observability solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
I identified over-provisioned servers and reduced my AWS monthly bill by 15%, which is a significant saving in terms of costs.
We are seeing a return on investment from using Gremlin Reliability Management Platform because we are getting less production issues by thirty percent, as I mentioned earlier, making it a great investment.
We do not need to look at all the day's metrics on Grafana dashboards; we run our chaos experiments in a production environment to see how reliable our product or service is.
If we needed ten people to do tests once upon a time, now, using Gremlin Reliability Management Platform, we can do it with a fifty percent reduction in employees.
The technical support team is very helpful with complex PromQL troubleshooting.
My advice for people who are new to Grafana or considering it is to reach out to the community mainly, as that's the primary benefit of Grafana.
I do not use Grafana's support for technical issues because I have found solutions on Stack Overflow and ChatGPT helps me as well.
When I have questions or run into issues with Gremlin Reliability Management Platform, their support team is helpful and responsive.
The expert partnership model is a significant strength I can suggest for Gremlin Reliability Management Platform.
The customer support for Gremlin Reliability Management Platform is good overall.
It is highly scalable and built on a big data architecture capable of ingesting trillions of data points.
In terms of our company, the infrastructure is using two availability zones in AWS.
In assessing Grafana's scalability, we started noticing logs missing or metrics not syncing in time.
Gremlin Reliability Management Platform scales smoothly for running more chaos experiments, adding more services, or supporting a larger team.
More than scalability, I thought about availability because it is a really important thing of the architecture tools.
The scalability of Gremlin Reliability Management Platform depends on the scalability of the underlying infrastructure that we are hosting it on.
When something in their dashboard does not work, because it is open source, I am able to find all the relative combinations that people are having, making it much easier for me to fix.
Once you get to a higher load, you need to re-evaluate your architecture and put that into account.
Even when handling millions of data points, the visualization layer remains responsive.
I have not seen any downtime or issues with its behavior or performance.
It would be better if they made the technology easy to use without needing to read extensive documentation.
Grafana cannot be easily embedded into certain applications and offers limited customization options for graphs.
I would want to see improvements, especially in the tracing part, where following different requests between different services could be more powerful.
I think it would be useful to have some integration with Splunk or other log collectors, or maybe in the future, the ability to link Dynatrace or any other observability platform.
If we can integrate it with natural language, could we talk to Gremlin Reliability Management Platform and have it configure some of the basic settings so that non-technical persons can also work on Gremlin Reliability Management Platform-like tools?
The user interface is great, the integration is smooth, and Gremlin Reliability Management Platform has a fantastic support team that helps us a lot in many cases.
In an enterprise setting, pricing is reasonable, as many customers use it.
The costs associated with using Grafana are somewhere in the ten thousands because we are able to control the logs in a more efficient way to reduce it.
I purchased my Grafana Cloud subscription through the AWS Marketplace, which simplified my procurement process and allowed me to apply the cost towards my AWS committed spend.
It is not so cheap, but it has very powerful features.
From a pricing standpoint of view regarding Gremlin Reliability Management Platform, I would say it is a bit expensive, but that expense is worth it given the kind of benefits it offers.
My role does not incur costs for us since we have an NFR for Gremlin Reliability Management Platform that we can use in our case.
Users can monitor metrics with greater ease, and the tool aids in quickly identifying issues by providing a visual representation of data.
The fact that I can join data from my SQL database with metrics from Prometheus in the same table is a feature I have not found performed as well elsewhere.
You can check those metrics in the incident management tool by filtering the alert source as Grafana, and it helps in reducing production incidents because you can acknowledge and visualize the metrics from Grafana on time.
There are really two pathways along: fewer incidents because with Gremlin Reliability Management Platform, we can make every part of the infrastructure more solid, and less downtime because we can test more architectures and then things like how to put in high availability clusters.
We fix failures even before they occur, which is basically proactive risk detection and risk mitigation.
The best feature that Gremlin Reliability Management Platform offers for me is the prebuilt reliability test; I think that is the best feature along with the automated scheduling.
| Product | Mindshare (%) |
|---|---|
| Grafana | 2.7% |
| Gremlin Reliability Management Platform | 0.1% |
| Other | 97.2% |

| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 10 |
| Large Enterprise | 27 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Large Enterprise | 6 |
Grafana offers a customizable, user-friendly platform for robust data visualization and integration, enhancing real-time monitoring with extensive alerting and collaboration capabilities supported by an active open-source community.
Grafana stands out for its flexible dashboards and robust visualization options, integrating smoothly with tools like Prometheus. This open-source platform supports diverse environments, aiding in the visualization of IT infrastructure and business analytics. Its alerting system efficiently supports real-time monitoring. While it is praised for its community backing and cost-effectiveness, there is demand for better data aggregation, intuitive interfaces, and enhanced documentation compared to competitors such as Splunk. Simplification of configuration and the interface is sought, alongside improvements in machine learning and reporting features.
What are Grafana's most important features?Grafana is implemented widely across industries for monitoring IT infrastructure and visualizing business analytics. Companies utilize it to analyze server performance or monitor Kubernetes environments and payment transactions. The platform integrates with AWS services and other data sources to ensure observability and system health tracking, focusing on performance metrics through customized dashboards and alerts. Organizations employ Grafana to bolster observability and optimize infrastructure through robust data insights.
Gremlin Reliability Management Platform empowers organizations to proactively identify and mitigate potential failures. It enhances system resilience through controlled chaos engineering, aiding tech teams in delivering reliable services.
Designed for tech-savvy users, Gremlin enables teams to implement chaos engineering effectively to ensure system reliability. It offers precise control over variables, allowing teams to simulate real-world scenarios and fortify system operations. Gremlin plays a strategic role in preventing downtime and maintaining optimal service delivery through a suite of advanced tools tailored for IT infrastructure.
What are the most important features of Gremlin?In industries such as e-commerce, finance, and healthcare, Gremlin helps maintain service reliability by identifying vulnerabilities before they affect operations. IT teams can simulate stress tests specific to their industry, ensuring systems are resilient against potential threats, enhancing customer satisfaction, and securing business continuity.
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