Splunk Observability Cloud and Amazon Elastic Container Service (ECS) are prominent in the field of cloud infrastructure management. Splunk takes the lead with its comprehensive data integration and robust monitoring, whereas ECS stands out in service scaling and AWS ecosystem integration.
Features: Splunk Observability Cloud offers comprehensive data integration, rapid log searching, and custom dashboard creation. It excels in monitoring diverse environments and supports enhanced application performance troubleshooting. ECS focuses on automated service scaling, cost-effective containerization, and managed security. It integrates seamlessly within the AWS ecosystem, providing high availability and ease of use for those familiar with AWS services.
Room for Improvement: Splunk users express a need for better scalability, cost reductions, and ease of configuration, with calls for improved third-party integration. ECS could improve in visualization integration, instance durability, and simplifying its pricing structure. Enhanced monitoring visibility without relying on additional AWS services is also desired by ECS users.
Ease of Deployment and Customer Service: Splunk Observability Cloud is deployed across varied environments, with mixed reviews on technical support highlighting delayed responses. ECS benefits from AWS's extensive customer support network but faces criticism over service management complexity and documentation intricacies.
Pricing and ROI: Splunk is considered expensive due to its comprehensive monitoring capabilities, offering some pricing flexibility but mainly associated with data indexing fees. It yields ROI through operational efficiency improvements. ECS offers a dynamic, user-friendly pricing model seen as more cost-effective with pay-as-you-go options, despite potentially escalating costs based on configuration complexity. Both provide ROI, with Splunk noted for feature depth and ECS for flexible cost structure in container environments.
This saving is achieved since, with EC2, the entire virtual machine must be running regardless of workload, whereas Fargate eliminates this cost.
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.
We do not rely heavily on technical support from AWS as we have our own teams managing the infrastructure.
They often require multiple questions, with five or six emails to get a response.
Support from Splunk is not very helpful because Splunk doesn't have a dedicated APM; they only have one APM engineer in Korea.
They did respond to us, but they did not explicitly inform us about the feature's absence.
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.
I would rate its scalability a nine out of ten.
The issue is mainly about pricing because if they want to monitor more, it costs money.
The stability of Amazon Elastic Container Service is excellent.
Amazon Elastic Container Service is mostly very stable.
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.
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.
There is room for improvement in the alerting system, which is complicated and has less documentation available.
Improvements in dashboard configuration, customization, and artificial intelligence functionalities are desired.
Customers sometimes need to create specific dashboards, particularly for applicative metrics such as Java and process terms.
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.
Splunk is a bit expensive since it charges based on the indexing rate of data.
It appears to be expensive compared to competitors.
Splunk is a little expensive, however, it is in line with the current market pricing.
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.
Amazon Elastic Container Service makes horizontal scaling easy and is especially effective when working under the ECS service.
Amazon Elastic Container Service allows the opportunity for low cost, as it is less expensive than EC2, to get used to all these concepts, paradigms, and techniques.
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.
Amazon Elastic Container Service (Amazon ECS) is a highly scalable, high-performance container orchestration service that supports Docker containers and allows you to easily run and scale containerized applications on AWS. Amazon ECS eliminates the need for you to install and operate your own container orchestration software, manage and scale a cluster of virtual machines, or schedule containers on those virtual machines.
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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