Splunk Observability Cloud and Amazon Elastic Container Service compete in the realm of monitoring and managing modern application environments. Splunk Observability Cloud may hold an advantage in visibility and analytic depth, while Amazon Elastic Container Service stands out for affordability and scalability.
Features: Splunk Observability Cloud offers advanced data integration, comprehensive dashboarding, and powerful analytics capabilities, empowering users to extract detailed insights across diverse data sources. Amazon Elastic Container Service provides a robust container management platform, effortless integration with AWS services, and a scalable pay-as-you-go model that allows for dynamic resource allocation.
Room for Improvement: Splunk Observability Cloud requires improvement in pricing transparency and cost management to address user concerns about high costs. Additionally, its complex setup and steep learning curve could be streamlined. Amazon Elastic Container Service could enhance its pricing model to better align with user consumption patterns and offer more straightforward configuration options. Enhancements in support for hybrid environments would broaden its applicability.
Ease of Deployment and Customer Service: Deployment of Splunk Observability Cloud is relatively straightforward with a focus on rapid integration, backed by strong customer support to handle complex queries. Amazon Elastic Container Service offers simple deployment due to its seamless integration with AWS, supported by extensive documentation that ensures users can access help and resolve issues efficiently.
Pricing and ROI: Splunk Observability Cloud is known for its high pricing, justified by its detailed analytical capabilities and substantial ROI, perceived as essential for many operations despite higher initial costs. Amazon Elastic Container Service has an attractive per-use pricing model, though users report variations in ROI due to complicated pricing based on resource usage, which can require optimization to maximize cost benefits.
This saving is achieved since, with EC2, the entire virtual machine must be running regardless of workload, whereas Fargate eliminates this cost.
We do not rely heavily on technical support from AWS as we have our own teams managing the infrastructure.
Problem resolution typically takes between two and five days, which isn't very helpful.
They did not have a clear answer.
Scalability becomes an inherent capability in the cloud context, and this service does well in that regard.
Amazon Elastic Container Service has a scalability rating of ten out of ten.
We've used the solution across more than 250 people, including engineers.
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.
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.
Customers sometimes need to create specific dashboards, particularly for applicative metrics such as Java and process terms.
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.
Amazon Elastic Container Service is quite cheap compared to Google, particularly for hosting databases.
It appears to be expensive compared to competitors.
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.
For troubleshooting, we can detect problems in seconds, which is particularly helpful for digital teams.
Splunk APM provides a holistic view of the application.
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 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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