

Splunk Observability Cloud and Kubernetes are key competitors in the enterprise IT solutions sector. Splunk Observability Cloud appears to have the upper hand with its strong suite of features and support system, which are complemented by a high ROI, despite its cost.
Features: Splunk Observability Cloud is noted for its real-time metrics, a fast alerting system, and the ability to scale efficiently. Kubernetes is recognized for its container orchestration capabilities, auto-healing, and seamless integration with cloud services.
Room for Improvement: Splunk Observability Cloud needs to work on cost transparency, improve log management, and enhance the user onboarding experience. Kubernetes shows room for improvement in addressing its complexity and the steep learning curve it presents to users.
Ease of Deployment and Customer Service: Splunk Observability Cloud is praised for its responsive technical support and smooth deployment across multiple cloud environments. Kubernetes, with its open-source flexibility, supports deployments across private, public, and hybrid clouds, though this might be complex. Support primarily depends on community and third-party resources.
Pricing and ROI: Splunk Observability Cloud is often seen as expensive, utilizing a pricing structure that depends on data volume. Nonetheless, it offers a positive ROI through productivity gains and reduced downtime. Kubernetes, being open-source, avoids licensing fees but may incur costs for managed services, while still providing a lower total cost for extensive operations.
What earlier required manual coordination and took thirty to forty minutes per release is now usually completed within ten to fifteen minutes.
We receive revenue and returns from its deployment due to improved services and applications.
I have seen a return on investment with Kubernetes, as it is a 100% worth-it buy for our company, helping in all deployments of our microservices, and my teams are really happy using Kubernetes and GCP together.
We have saved considerable amounts of money, reducing our expenditures from around three to four crores to approximately one to one point two crores.
We have been able to save a great deal of money, and our profits have increased by twenty percent.
Using Splunk has saved my organization about 30% of our budget compared to using multiple different monitoring products.
In addition to official support, Kubernetes community ecosystem is very strong.
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.
The customer support system is the foundational pillar of any successful business.
Overall, Kubernetes gives a lot of flexibility to handle growth and spikes without re-architecting the system.
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.
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.
We have never seen any kind of downtime or crashes, as it has been absolutely very easy to scale.
As long as best practices are followed, such as proper resource limits, health checks, and monitoring, Kubernetes provides a stable foundation for production workloads.
Our organization performs robust testing before sending changes to production, ensuring the stability of Kubernetes in live environments.
I have never heard of it going down in my company for even a single minute, and this would be a major issue for every microservice due to our work with money.
When downtime occurs, it raises concerns about how we measure and receive alerts, as everything needs to be in place.
Splunk Observability Cloud is very stable.
It is highly scalable because it can handle approximately up to one hundred applications at a time without any lapse or lag.
Kubernetes is a very mature and reliable platform, and the benefits clearly outweigh the limitations for most production use cases.
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.
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.
Kubernetes itself is open source and free, so there is no licensing cost for the software.
My experience with the pricing, setup cost, and licensing of Kubernetes is that it is well-priced, and the features it offers are very good, making the price worth it.
Since we use Kubernetes on-premises, the costs are related to our expertise and the personnel we hire.
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.
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.
The feature that stands out most for me is self-healing. If a pod crashes or a node fails, Kubernetes automatically recreates the pod and maintains the desired state.
Kubernetes has positively impacted my organization because deployments are stable, managing secrets like database passwords, API keys, and bank credentials, especially since I work in a payment service where bank credential management is crucial.
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 (%) |
|---|---|
| Kubernetes | 10.1% |
| Splunk Observability Cloud | 1.5% |
| Other | 88.4% |
| Company Size | Count |
|---|---|
| Small Business | 27 |
| Midsize Enterprise | 10 |
| Large Enterprise | 49 |
| Company Size | Count |
|---|---|
| Small Business | 33 |
| Midsize Enterprise | 9 |
| Large Enterprise | 56 |
Kubernetes is designed for container orchestration, emphasizing scalability, automation, and integration with leading cloud providers. It offers dependable management of microservices and applications, making it essential for transitioning to cloud-native architectures.
Kubernetes provides a robust framework for managing containerized applications in production environments. Known for its scalability and automation capabilities, Kubernetes facilitates auto-scaling and load balancing, ensuring efficient resource utilization and minimal downtime. Its compatibility with Docker and support for microservices simplify deployment and maintenance, while offering flexibility across platforms. Despite its complex dashboard and areas needing enhancement, Kubernetes remains a significant player due to its high availability and extensive community support.
What are Kubernetes' key features?Companies utilize Kubernetes across industries like banking, telecom, and digital advertising to modernize infrastructure and support DevOps practices. Whether deploying on cloud or on-premise, Kubernetes aids in transitioning from traditional systems to agile, cloud-native architectures with auto-scaling and high availability during updates.
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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