Splunk Observability Cloud and Kubernetes are key competitors in technology infrastructure management. Both have their strengths, but Kubernetes holds an advantage with its robust capabilities in auto-scaling and microservice management, while Splunk excels in comprehensive monitoring.
Features: Splunk Observability Cloud is noted for customizable dashboards, robust alerting systems, and its ability to integrate custom metrics. Kubernetes is valued for container orchestration, auto-scaling, and resource management, offering high availability and efficient deployment across platforms.
Room for Improvement: Splunk Observability Cloud could benefit from reduced costs, enhanced third-party tool integration, and improved user interfaces. Kubernetes could improve by simplifying its complex setup and reducing its learning curve, especially for those new to cloud-native technologies.
Ease of Deployment and Customer Service: Splunk Observability Cloud is effective in hybrid and public cloud environments, with responsive but sometimes slow technical support. Kubernetes offers deployment flexibility but is complex to set up for newcomers. Both have strong support communities; Kubernetes' open-source model leads to varying support based on distribution.
Pricing and ROI: Splunk Observability Cloud's extensive features can be costly, though many users report significant ROI through improved efficiencies. Kubernetes' open-source nature offers a cost-effective solution, with managed service charges possible. It provides strong ROI through its scalability and agility benefits for large deployments.
We receive revenue and returns from its deployment due to improved services and applications.
I have seen a return on investment, and the metrics in return for the investment are very fast.
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.
The application is stable, and I seldom require support.
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.
Kubernetes is highly scalable, earning a rating of eight out of ten.
By using horizontal pod autoscalers, Kubernetes automatically adjusts the number of pods based on CPU, memory usage, or other metrics.
Kubernetes is a scalable platform, which is why we are using it.
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.
Our organization performs robust testing before sending changes to production, ensuring the stability of Kubernetes in live environments.
Kubernetes offers high stability, allowing for easy scaling of ports and containers.
If any containers take more space, sometimes the cluster goes down.
I would rate its stability a nine out of ten.
We rarely have problems accessing the dashboard or the page.
Unlike NetScout or regular agents for APM, RUM has many problems during the POC phase because customer environments vary widely.
Improved documentation would help in gaining scalable knowledge and making it more understandable.
After the upgrade, some pods were not up as expected, leading to downtime.
Although we face issues when migrating to new versions of Kubernetes, such as misunderstandings on using new features or integration with proxy services, these issues can be addressed with proper preparation.
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 is room for improvement in the alerting system, which is complicated and has less documentation available.
Since we use Kubernetes on-premises, the costs are related to our expertise and the personnel we hire.
the setup costs are high.
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.
It appears to be expensive compared to competitors.
Kubernetes also offers rollback control and auto-scaling capabilities, which are crucial for maintaining an application's availability even if nodes or pods go down.
For us, having fast storage classes is very important.
The most valuable feature of Kubernetes is its support for load balancing.
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 | Market Share (%) |
|---|---|
| Kubernetes | 6.1% |
| Splunk Observability Cloud | 0.7% |
| Other | 93.2% |
| Company Size | Count |
|---|---|
| Small Business | 26 |
| Midsize Enterprise | 10 |
| Large Enterprise | 47 |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 10 |
| Large Enterprise | 47 |
Kubernetes (K8s) is an open-source system for automating deployment, scaling, and management of containerized applications.
It groups containers that make up an application into logical units for easy management and discovery. Kubernetes builds upon 15 years of experience of running production workloads at Google, combined with best-of-breed ideas and practices from the community.
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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