

Splunk Observability Cloud and Amazon EKS are prominent players in the IT infrastructure management arena. Splunk seems to lead in customization and detailed data insights, whereas Amazon EKS offers easier Kubernetes management through AWS integration.
Features: Splunk Observability Cloud offers APM monitoring, real-time metrics, and scalability suitable for enterprise settings. The platform supports customized dashboards and comprehensive log searching with robust alerting. Amazon EKS highlights its managed Kubernetes control plane, AWS service integration, and diverse scaling configurations, facilitating streamlined Kubernetes deployment and management.
Room for Improvement: Splunk Observability Cloud could improve cost transparency, enhance log management, and refine alerting systems. Users seek a smoother learning curve and better UI customization. For Amazon EKS, simplification of infrastructure management, alleviating initial setup hurdles, and improving integrations with AWS services could enhance user experience. While Splunk focuses on UI and alerting enhancements, Amazon EKS should address ease of configuration and cost management issues.
Ease of Deployment and Customer Service: Splunk Observability Cloud supports on-premises, public, and hybrid cloud configurations. Its customer support is mixed; some praise its responsiveness, while others seek more timely solutions. Amazon EKS, operating mainly in public and hybrid clouds, excels in Kubernetes deployments with reliable support, thanks to AWS's robust ecosystem. Splunk offers flexibility, yet Amazon EKS stands out in simplicity and support reliability.
Pricing and ROI: Splunk's pricing is perceived as high, posing challenges in cost justification compared to competitors. However, it provides substantial ROI through enhanced operational efficiency and reduced downtime. Amazon EKS provides flexible pricing models aligned with specific needs, making it a cost-effective solution in the cloud space. While Splunk's costs may deter some, it offers significant business value, whereas Amazon EKS appeals with fiscal management benefits, leveraging AWS's ecosystem.
Initially, not having them resulted in an unoptimized solution. However, with these tools in place, we witnessed a reduction of costs by approximately a third—if it was $100 beforehand, we brought costs down to $25.
We have cost explorer available, and a bill forecast based on usage allows us to determine whether resources are underutilized or overutilized.
It's a fast deployment, with very good documentation, and it's really helpful.
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.
We didn't need to manage etcd and those control management tools; it's totally handled from the AWS side, making it very beneficial.
I believe there should be a recovery solution available for at least a few hours so that we might bring it back.
They will set up a call, guide us, or provide solutions regarding integration with AWS or Amazon EKS.
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 ability to scale based on requirements by deploying additional containers is a strong point for Kubernetes.
This allows us to scale our applications or APIs as needed, offering reliability through the automation of scaling processes.
If any node is not ready, the cluster autoscaler ensures that it is removed from the AWS auto-scaling group and replaces it with a new node in the cluster.
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.
There are multiple availability zones in the regions, meaning no single point of failure.
The control plane is quite stable in Amazon EKS, and I find it to be 100% available.
We haven't faced any challenges, and it consistently delivers on its committed SLA.
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.
Simplifying these will enable more people, not just those with strong foundational knowledge, to work effectively with these services.
Amazon EKS can be improved by having the maintenance of Kubernetes versions managed better, as everything is handled by the Kubernetes team and possibly a separate team at AWS.
Adding logging would be a valuable improvement.
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.
The EKS service itself is free, but you will incur costs for the VMs used as nodes in that cluster.
If you want to monitor costs effectively, applying separate tools and acting accordingly in advance is essential.
I appreciate the overall pricing model of AWS, where you pay based on usage, which allows for a clear understanding of costs associated with services.
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.
The most beneficial aspect of Amazon EKS is that it helps manage the Kubernetes master node, so I don't need to maintain the master node, including tasks like upgrading.
The main benefits that I received from using Amazon EKS are that it is a managed cluster and offers simplicity.
By default, if you just install Amazon EKS, you can deploy your application, but to have it enterprise-ready, you have to configure a number of other things that will boost productivity.
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 (%) |
|---|---|
| Amazon EKS | 13.0% |
| Splunk Observability Cloud | 0.8% |
| Other | 86.2% |


| Company Size | Count |
|---|---|
| Small Business | 33 |
| Midsize Enterprise | 21 |
| Large Enterprise | 48 |
| Company Size | Count |
|---|---|
| Small Business | 24 |
| Midsize Enterprise | 10 |
| Large Enterprise | 53 |
Amazon Elastic Kubernetes Service (Amazon EKS) is a fully managed Kubernetes service. Customers such as Intel, Snap, Intuit, GoDaddy, and Autodesk trust EKS to run their most sensitive and mission critical applications because of its security, reliability, and scalability.
EKS is the best place to run Kubernetes for several reasons. First, you can choose to run your EKS clusters using AWS Fargate, which is serverless compute for containers. Fargate removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design. Second, EKS is deeply integrated with services such as Amazon CloudWatch, Auto Scaling Groups, AWS Identity and Access Management (IAM), and Amazon Virtual Private Cloud (VPC), providing you a seamless experience to monitor, scale, and load-balance your applications. Third, EKS integrates with AWS App Mesh and provides a Kubernetes native experience to consume service mesh features and bring rich observability, traffic controls and security features to applications. Additionally, EKS provides a scalable and highly-available control plane that runs across multiple availability zones to eliminate a single point of failure.
EKS runs upstream Kubernetes and is certified Kubernetes conformant so you can leverage all benefits of open source tooling from the community. You can also easily migrate any standard Kubernetes application to EKS without needing to refactor your code.
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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