Splunk Observability Cloud and Amazon EKS are notable competitors in the cloud and observability solutions sector. Splunk shows strengths in data integration and customizable dashboards, while Amazon EKS demonstrates superior capability in Kubernetes orchestration and scalability.
Features: Splunk Observability Cloud is advantageous for data integration, creating custom dashboards, and application performance monitoring. Its unique feature of generating incident reports enhances operational monitoring. Amazon EKS excels in Kubernetes orchestration, providing auto-scaling, easy deployment across cloud environments, and efficient microservices management.
Room for Improvement: Splunk Observability Cloud needs better integration with third-party tools and improvements in cost efficiency. Enhancements in documentation and scalability could also benefit users. Amazon EKS could improve setup simplicity and further reduce costs, along with refining its management capabilities and user interface.
Ease of Deployment and Customer Service: While both solutions offer diverse deployment options, Splunk is particularly strong in hybrid environments, whereas Amazon EKS supports predominantly public cloud configurations. Splunk provides satisfactory technical support, though its response times may improve. Amazon EKS requires improvements in integration support and overall support experience.
Pricing and ROI: Splunk Observability Cloud is often regarded as high-cost, potentially outweighing its benefits, yet delivers strong visibility and productivity returns. Amazon EKS offers competitive pricing for its class, although may still be costly for smaller businesses. Both products have demonstrated positive ROI in terms of efficiency and reduced troubleshooting time.
We have cost explorer available, and a bill forecast based on usage allows us to determine whether resources are underutilized or overutilized.
We have a paid subscription that provides priority support.
Amazon's technical support is quite good, especially for those who purchase support services.
Having to know what questions to ask is essential.
They often require multiple questions, with five or six emails to get a response.
They did respond to us, but they did not explicitly inform us about the feature's absence.
If any issues arise, we can raise a vendor case, and resolutions are provided in a timely and accurate manner.
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.
It can scale very well according to needs, and it doesn't have any issues with scalability.
We've used the solution across more than 250 people, including engineers.
I would rate its scalability an eight out of ten.
Amazon EKS is very stable, and when properly configured, I rate it ten out of ten.
Amazon EKS is stable.
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.
A UI could help generate config files, simplifying the process for developers who are not architects.
There is room for improvement in the alerting system, which is complicated and has less documentation available.
Customers sometimes need to create specific dashboards, particularly for applicative metrics such as Java and process terms.
It would be beneficial if server details could be retrieved directly in synthetic monitoring.
The pricing structure is beneficial for large companies who pay for what they use, but it is not affordable for startups.
Now, it stands at six or seven due to optimizing our workload.
It appears to be expensive compared to competitors.
Splunk Observability Cloud is expensive.
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.
For troubleshooting, we can detect problems in seconds, which is particularly helpful for digital teams.
It offers unified visibility for logs, metrics, and traces.
Splunk APM provides a holistic view of the application.
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 combines log search, data integration, and dashboards for seamless monitoring, enhancing infrastructure visibility and security. Its cloud integration and scalability support diverse environments, improving operational efficiency.
Splunk Observability Cloud offers comprehensive monitoring tools with user-friendly interfaces, enabling end-to-end infrastructure visibility. Its real-time alerting and predictive capabilities enhance security monitoring, while centralized dashboards provide cross-platform visibility. Users benefit from fast data integration and extensive insights into application performance. Despite its advantages, improvements could be made in integration with other tools, data reliability, scalability, and cost management. Users face challenges in configuration complexity and require better automation and endpoint protection features. Enhancing AI integration, alerts, and adaptation for high-throughput services could further improve usability.
What are the key features of Splunk Observability Cloud?In industries like finance and healthcare, Splunk Observability Cloud is implemented for application performance monitoring and infrastructure metrics. Its ability to track incidents and analyze machine data benefits network infrastructure, while distributed tracing and log analysis aid in tackling security threats. Organizations often integrate it for compliance and auditing purposes, enhancing visibility into network traffic and optimizing performance.
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