

Splunk Observability Cloud and Red Hat OpenShift compete within the field of application performance monitoring and container management. Splunk holds an edge in delivering real-time analytics and insights, while OpenShift's strength lies in its comprehensive container management and seamless Kubernetes integration.
Features: Splunk Observability Cloud offers real-time dashboards, seamless integration with DevOps tools, and advanced APM monitoring. Red Hat OpenShift provides automatic scaling, robust integration with Kubernetes, and built-in security features such as role-based access control.
Room for Improvement: For Splunk Observability Cloud, users seek better pricing transparency, enhanced AI-powered analytics, and improved log management capabilities. Red Hat OpenShift could improve its documentation, better integrate third-party tools, and offer more straightforward cluster management processes.
Ease of Deployment and Customer Service: Splunk Observability Cloud is noted for its flexibility in deploying across on-premises, public, and hybrid clouds with responsive customer support. Red Hat OpenShift supports private and public cloud deployments, emphasizing ease of integration with Kubernetes and providing comprehensive support for complex environments.
Pricing and ROI: Splunk Observability Cloud is perceived as high cost with a restrictive licensing model, yet it delivers significant ROI through operational insight and efficiency. Red Hat OpenShift's pricing is linked to usage metrics like nodes and memory, with its extensive feature set helping to justify the cost through productivity gains and scalability.
With OpenShift combined with IBM Cloud App integration, I can spin an integration server in a second as compared to traditional methods, which could take days or weeks.
Moving to OpenShift resulted in increased system stability and reduced downtime, which contributed to operational efficiency.
It is always advisable to get the bare minimum that you need, and then add more when necessary.
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.
Red Hat's technical support is responsive and effective.
Customer support is really good because so far in our case, we have always received a prompt response, and they have been really helpful to us.
I have been pretty happy in the past with getting support from Red Hat.
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.
The on-demand provisioning of pods and auto-scaling, whether horizontal or vertical, is the best part.
OpenShift's horizontal pod scaling is more effective and efficient than that used in Kubernetes, making it a superior choice for scalability.
Red Hat OpenShift scales excellently, with a rating of ten out of ten.
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.
It provides better performance yet requires more resources compared to vanilla Kubernetes.
I've had my cluster running for over four years.
It performs well under load, providing the desired output.
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.
Learning OpenShift requires complex infrastructure, needing vCenter integration, more advanced answers, active directory, and more expensive hardware.
Red Hat OpenShift's biggest disadvantage is they do not provide any private cloud setup where we can host on our site using their services.
We should aim to include VMware-like capabilities to be competitive, especially considering cost factors.
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.
Initially, licensing was per CPU, with a memory cap, but the price has doubled, making it difficult to justify for clients with smaller compute needs.
The pricing for Red Hat OpenShift is considered quite high.
Red Hat can improve on the pricing part by making it more flexible and possibly on the lower side.
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.
Because it was centrally managed in our company, many metrics that we had to write code for were available out of the box, including utilization, CPU utilization, memory, and similar metrics.
The concept of containers and scaling on demand is a feature I appreciate the most about Red Hat OpenShift.
A valuable feature of Red Hat OpenShift is its ability to handle increased loads by automatically adding nodes.
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 | 0.8% |
| Red Hat OpenShift | 4.0% |
| Other | 95.2% |


| Company Size | Count |
|---|---|
| Small Business | 17 |
| Midsize Enterprise | 4 |
| Large Enterprise | 43 |
| Company Size | Count |
|---|---|
| Small Business | 24 |
| Midsize Enterprise | 10 |
| Large Enterprise | 53 |
Red Hat OpenShift is a comprehensive platform offering versatile container orchestration capabilities, suitable for businesses seeking robust, scalable, and secure solutions for application modernization efforts and microservices deployment.
Red Hat OpenShift combines a user-friendly interface with powerful CLI tools, ensuring rapid deployment and process automation. It seamlessly integrates with Docker and Kubernetes, providing cloud-native stacks for flexibility and compliance. Enhancing development efficiency, OpenShift includes built-in CI/CD tools and dynamic scaling features. It supports multi-cloud environments, avoiding vendor lock-in. However, documentation gaps, interface complexity, and infrastructure demands present challenges, alongside improving integration with third-party tools and monitoring capabilities. Licensing complexities and resource consumption remain areas for improvement, with user experience varying due to support response times.
What are Red Hat OpenShift's key features?In industries embracing cloud-native architectures, Red Hat OpenShift is adept for hosting containerized applications and transitioning legacy systems. It excels in managing DevOps processes, supporting production and development in sectors such as finance, healthcare, and technology, ensuring robust hybrid on-premise and cloud operations.
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.
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