Splunk Observability Cloud and Amazon CloudWatch are two competitive monitoring solutions in the cloud infrastructure category. Splunk is preferred for its feature-rich offerings in dashboards, alerts, and log analytics, while Amazon CloudWatch is favored for its seamless AWS integration.
Features: Splunk Observability Cloud offers customizable dashboards, fast log searching, and application performance monitoring. Its versatility in diverse environments and enriched data integration are notable. Amazon CloudWatch provides robust monitoring capabilities for AWS, real-time alerts, support for AWS services, and easy AWS setup.
Room for Improvement: Splunk Observability Cloud could improve by simplifying user interface customization, broadening third-party integrations, and addressing pricing concerns. Enhancements in scalability, automation, and endpoint security are also desired. Amazon CloudWatch could enhance reporting, synthetic monitoring, and integration with non-AWS services. Users also want better real-time data visualization and expanded API features, along with more affordable options.
Ease of Deployment and Customer Service: Splunk Observability Cloud is appreciated for flexible deployment across various environments, but its customer service receives mixed reviews. Improvements in support timelines are suggested. Amazon CloudWatch is primarily used within AWS, with a straightforward setup and support for AWS-specific scenarios, though better cross-cloud support and more efficient customer interactions are needed.
Pricing and ROI: Splunk Observability Cloud is perceived as expensive, but its robust features often lead to a positive ROI through operational efficiencies. In contrast, Amazon CloudWatch offers a predictable pricing model, benefiting from AWS integration and affordability, though managing costs as data volumes grow is necessary. Both solutions deliver ROI, though Splunk's cost can be a hurdle for some organizations.
Amazon CloudWatch offers cost-saving advantages by being an inbuilt solution that requires no separate setup or maintenance for monitoring tasks.
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.
In recent years, due to business expansion, knowledge levels among support engineers seem to vary.
While using their cloud and cloud resources, if you have an issue with CloudWatch, you must pay additional monthly fees to get time from dedicated tech support.
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 CloudWatch's scalability is managed by AWS.
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.
I sometimes notice slowness when Amazon CloudWatch agents are installed on machines with less capacity, causing me to use other monitoring tools.
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.
When using third-party dashboards such as Kibana or Grafana and other visualization tools, there should be a way to feed CloudWatch's data and logging capabilities into these visualization tools.
Maybe Amazon Web Services can improve by providing a library for CloudWatch with some useful features.
Amazon CloudWatch charges extra for custom metrics, which is a significant disadvantage.
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.
Overall, the pricing of Amazon CloudWatch is very expensive.
Amazon CloudWatch charges more for custom metrics as well as for changes in the timeline.
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.
Amazon CloudWatch allows me to set up and view even historical logs, which is one of the features I find valuable.
I like its filtering capability and its ability to give the cyber engine insights.
The best features of Amazon CloudWatch need to improve visibility into the network because when using hundreds of network resources such as transit gateway, VPNs, routers, route tables, and firewalls, it does not give many details in a structured manner.
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 CloudWatch is used for monitoring, tracking logs, and organizing metrics across AWS services. It detects anomalies, sets dynamic alarms, and automates actions to optimize cloud utilization, troubleshoot, and ensure service availability.
Organizations leverage Amazon CloudWatch for collecting and analyzing logs, triggering alerts, and profiling application performance. It's also employed for monitoring bandwidth, virtual machines, Lambda functions, and Kubernetes clusters. Valuable features include seamless integration with AWS, real-time data and alerts, detailed metrics, and a user-friendly interface. It provides robust monitoring capabilities for infrastructure and application performance, log aggregation, and analytics. Users appreciate its scalability, ease of setup, and affordability. Additional key aspects are the ability to create alarms, dashboards, and automated responses, along with detailed insights into system and application health. Room for improvement includes dashboards and UI enhancements for better visualization and customizability, log streaming speed, advanced machine learning and reporting capabilities, pricing, and integration with non-AWS services and databases. Users also seek more real-time monitoring and comprehensive application performance features, and simpler alerts and configuration processes.
What are the most important features?
What benefits and ROI can users expect?
Amazon CloudWatch is implemented across a range of industries, including technology, finance, healthcare, and retail. Technology firms use it to monitor application performance and traffic, while financial organizations leverage it for ensuring compliance and system reliability. Healthcare entities rely on it for maintaining service availability and monitoring data flow, and retail companies utilize it for tracking customer interactions and optimizing server usage.
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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