

Splunk Observability Cloud and Amazon Elastic Container Service (ECS) compete in the enterprise monitoring and container management category. Splunk Observability Cloud appears to have a competitive edge due to its scalability and real-time data integration, making it ideal for large data volumes.
Features: Splunk Observability Cloud offers comprehensive monitoring capabilities with APM monitoring, fast alerting systems, and customizable dashboards. Its scalability and real-time data integration are key features. Amazon ECS is valued for its ease of use, flexibility, and seamless integration with AWS services. It supports auto-scaling and manages a range of containerized applications efficiently.
Room for Improvement: Splunk Observability Cloud could improve in pricing transparency, log management, and user interface usability. Users seek better search capabilities and a more efficient alerting system. Amazon ECS could enhance network management, simplify the initial setup, and clarify pricing complexity. Users desire more intuitive management and better third-party monitoring integration.
Ease of Deployment and Customer Service: Splunk Observability Cloud offers flexible deployment options, including on-premises, hybrid, and cloud environments. While its customer service garners mixed reviews, Amazon ECS benefits from AWS's strong infrastructure, making it simpler for AWS users. ECS users appreciate reliable support but seek improvements for complex issue responsiveness.
Pricing and ROI: Splunk Observability Cloud is often viewed as expensive but offers a strong ROI through feature set and efficiency improvements. Users note increased productivity and reduced downtime as benefits. Amazon ECS's pay-as-you-go model is economical for variable workloads, though some find cost predictability and transparency challenging.
This saving is achieved since, with EC2, the entire virtual machine must be running regardless of workload, whereas Fargate eliminates this cost.
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.
AWS partnership provides access to their architects for guidance when needed.
The customer support is good.
We do not rely heavily on technical support from AWS as we have our own teams managing the infrastructure.
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.
Amazon Elastic Container Service has a scalability rating of ten out of ten.
Scalability becomes an inherent capability in the cloud context, and this service does well in that regard.
Amazon Elastic Container Service has significant limitations regarding scalability.
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.
The stability of Amazon Elastic Container Service is excellent.
Amazon Elastic Container Service is mostly very stable.
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.
Currently, when scaling with Amazon Elastic Container Service, I have to choose between monitoring CPU or memory usage to scale up or scale out; there is no option to monitor both simultaneously.
When it comes to new-age services around AI, particularly in the areas of LLMs and genomics, these services are not fully available in our region's availability domain.
They did not previously provide the ability to change the target group and load balancer after a deployment, but now they do.
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.
Amazon Elastic Container Service is quite cheap compared to Google, particularly for hosting databases.
Our customers often do a trade-off between requiring services at particular SLA levels and being willing to pay a premium price to us as partners.
Regarding pricing, setup cost, and licensing, the evergreen AWS is a definite win.
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.
It inherently offers scalability by default, without our IT teams needing to take the extra load to make the services available for our end users.
Main benefits that Amazon Elastic Container Service provides include saving maintenance costs in terms of saving time, and since it auto scales, we save on infrastructure costs by running at lower instances when it is not heavily used.
Availability is the most valuable feature because if containers are hosted on Amazon Elastic Container Service, they are truly available and do not go down.
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 (%) |
|---|---|
| Splunk Observability Cloud | 1.5% |
| Amazon Elastic Container Service | 2.0% |
| Other | 96.5% |
| Company Size | Count |
|---|---|
| Small Business | 29 |
| Midsize Enterprise | 7 |
| Large Enterprise | 21 |
| Company Size | Count |
|---|---|
| Small Business | 33 |
| Midsize Enterprise | 9 |
| Large Enterprise | 56 |
Amazon Elastic Container Service provides scalable, efficient container orchestration with features like service discovery and seamless AWS integration, making it user-friendly and cost-effective for managing containerized applications.
This service is known for its scalability, service discovery, and ease of setup, while Fargate's lack of management needs enhances usability. Offering high availability and excellent uptime, it integrates seamlessly with AWS services. Despite its strengths, users seek improvements in orchestration, user experience, logging, and third-party tool integration. The service excels in aiding organizations to efficiently run microservices architectures and support automated deployments with CI/CD pipelines.
What are the key features of Amazon Elastic Container Service?Amazon Elastic Container Service is effectively implemented across industries such as technology, finance, and healthcare, supporting web applications and microservices architectures. It facilitates managing Docker configurations and batch processes efficiently, streamlining infrastructure and providing a platform for cost-effective application deployment.
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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