

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.
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.
Using Splunk has saved my organization about 30% of our budget compared to using multiple different monitoring products.
Anyone working in front-end management should recognize the market price to see the true value of end-user monitoring.
I have definitely seen a return on investment with Splunk Observability Cloud, particularly through how fast it has grown and how comfortable other teams are in relying on its outputs for monitoring and observability.
When I have questions or run into issues with Gremlin Reliability Management Platform, their support team is helpful and responsive.
The customer support for Gremlin Reliability Management Platform is good overall.
On a scale of 1 to 10, the customer service and technical support deserve a 10.
They have consistently helped us resolve any issues we've encountered.
They often require multiple questions, with five or six emails to get a response.
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.
We've used the solution across more than 250 people, including engineers.
As we are a growing company transitioning all our applications to the cloud, and with the increasing number of cloud-native applications, Splunk Observability Cloud will help us achieve digital resiliency and reduce our mean time to resolution.
I would rate its scalability a nine out of ten.
I have not seen any downtime or issues with its behavior or performance.
When downtime occurs, it raises concerns about how we measure and receive alerts, as everything needs to be in place.
I would rate its stability a nine out of ten.
We rarely have problems accessing the dashboard or the page.
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.
The out-of-the-box customizable dashboards in Splunk Observability Cloud are very effective in showcasing IT performance to business leaders.
The next release of Splunk Observability Cloud should include a feature that makes it so that when looking at charts and dashboards, and also looking at one environment regardless of the product feature that you're in, APM, infrastructure, RUM, the environment that is chosen in the first location when you sign into Splunk Observability Cloud needs to stay persistent all the way through.
There should be a solution to update OTeL agents from Splunk Observability Cloud itself.
It is not so cheap, but it has very powerful features.
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.
Splunk is a bit expensive since it charges based on the indexing rate of data.
It is expensive, especially when there are other vendors that offer something similar for much cheaper.
I can confidently say our availability improved by forty percent, and downtime was reduced by approximately seventy to eighty percent.
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.
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.
One of my best features of Gremlin Reliability Management Platform is the built-in chaos experiments, which gives you the reliability score of your service.
Splunk provides advanced notifications of roadblocks in the application, which helps us to improve and avoid impacts during high-volume days.
For troubleshooting, we can detect problems in seconds, which is particularly helpful for digital teams.
It offers unified visibility for logs, metrics, and traces.
| Product | Mindshare (%) |
|---|---|
| Splunk Observability Cloud | 2.4% |
| Gremlin Reliability Management Platform | 0.1% |
| Other | 97.5% |

| Company Size | Count |
|---|---|
| Small Business | 24 |
| Midsize Enterprise | 10 |
| Large Enterprise | 53 |
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.
Splunk Observability Cloud offers sophisticated log searching, data integration, and customizable dashboards. With rapid deployment and ease of use, this cloud service enhances monitoring capabilities across IT infrastructures for comprehensive end-to-end visibility.
Focused on enhancing performance management and security, Splunk Observability Cloud supports environments through its data visualization and analysis tools. Users appreciate its robust application performance monitoring and troubleshooting insights. However, improvements in integrations, interface customization, scalability, and automation are needed. Users find value in its capabilities for infrastructure and network monitoring, as well as log analytics, albeit cost considerations and better documentation are desired. Enhancements in real-time monitoring and network protection are also noted as areas for development.
What are the key features?In industries, Splunk Observability Cloud is implemented for security management by analyzing logs from detection systems, offering real-time alerts and troubleshooting for cloud-native applications. It is leveraged for machine data analysis, improving infrastructure visibility and supporting network and application performance management efforts.
We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.