

Splunk Observability Cloud and Google Kubernetes Engine compete in the domain of cloud monitoring and management. Splunk appears to have the upper hand due to its extensive analytic capabilities, whereas GKE offers ease of containerized environment deployments.
Features: Splunk Observability Cloud provides extensive data collection, log searching, and robust monitoring features. Users can customize dashboards and integrate with various tools for infrastructure insights. In contrast, Google Kubernetes Engine focuses on container management, offering strong autoscaling, load-balancing features, and seamless Google Cloud integration.
Room for Improvement: Splunk Observability Cloud is perceived as complex with a need for improved solution integration and less manual configuration. Cost is also a notable concern. GKE, on the other hand, could enhance its documentation clarity and expand third-party application support. Cluster management efficiency improvements are also recommended.
Ease of Deployment and Customer Service: Splunk Observability Cloud supports on-premises, hybrid, and public cloud deployments and receives positive customer support feedback, albeit with occasional delays. GKE supports public and private clouds with varying customer service responsiveness due to understaffing.
Pricing and ROI: Splunk Observability Cloud is often critiqued for high costs, yet it delivers substantial ROI through improved operational efficiencies. GKE provides good value with scalable and cost-effective compute models, offering flexible pricing across business sizes.
By migrating from AWS to Google Cloud Platform, we have saved a lot of time and money.
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.
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 autoscaling capabilities of Google Kubernetes Engine have significantly impacted our operations.
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.
If I have 100 replicas of containers and the traffic suddenly pushes to 1,000 within a fraction of a second, the selected machine type must be fast.
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.
When looking at the web interface, it feels kind of slow due to the many features involved.
Log observability could be made easier so someone from high school can use it without having technological expertise.
It would be helpful if I could easily find log information in a particular namespace without needing to write certain labels.
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.
Instead, we only pay for the hardware we use, which results in cost-cutting.
Google is considered cheaper compared to AWS, making it suitable for smaller to medium companies concerning cost.
The on-demand nodes are quite expensive.
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.
The most valuable aspect of Google Kubernetes Engine (GKE) is its managed nature, which significantly reduces the burden on our platform team.
The best advantage of Google Kubernetes Engine is that it manages Kubernetes for you, making everything related to the master nodes managed for you with automatic updating and upgrading.
GKE is easier to understand and use than Elastic Kubernetes 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 | Market Share (%) |
|---|---|
| Splunk Observability Cloud | 0.7% |
| Google Kubernetes Engine | 2.3% |
| Other | 97.0% |


| Company Size | Count |
|---|---|
| Small Business | 21 |
| Midsize Enterprise | 6 |
| Large Enterprise | 15 |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 10 |
| Large Enterprise | 46 |
Kubernetes Engine is a managed, production-ready environment for deploying containerized applications. It brings our latest innovations in developer productivity, resource efficiency, automated operations, and open source flexibility to accelerate your time to market.
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 Container Management 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.