Splunk Observability Cloud and Amazon CloudWatch compete in the realm of monitoring and analytics platforms. Splunk has the upper hand with its advanced features, while Amazon CloudWatch boasts better integration with AWS services.
Features: Splunk Observability Cloud provides comprehensive data integration, efficient log searching, and customizable dashboards. It stands out with its application performance monitoring capabilities and real-time troubleshooting. Meanwhile, Amazon CloudWatch excels in metrics aggregation and infrastructure monitoring within AWS, offering excellent integration for AWS services.
Room for Improvement: Splunk users often mention the high cost and complexity of configuration, along with a need for better tool integration and stability. On the other hand, Amazon CloudWatch could benefit from advanced reporting capabilities, enhanced real-time monitoring, and improved third-party integrations. Users also seek more pricing transparency and a better user interface.
Ease of Deployment and Customer Service: Splunk Observability Cloud offers flexibility with various deployment models, including on-premises and cloud, though setup can be time-consuming. Its customer service receives mixed feedback. Amazon CloudWatch, as a cloud-based solution, is easy to integrate within AWS, and while most find its customer service adequate, some report delays in support response.
Pricing and ROI: Splunk Observability Cloud is considered premium-priced but delivers significant ROI through comprehensive features. Amazon CloudWatch, with a pay-as-you-go pricing model, is cost-effective for AWS-centric businesses, enhancing ROI through careful usage monitoring.
Amazon CloudWatch offers cost-saving advantages by being an inbuilt solution that requires no separate setup or maintenance for monitoring tasks.
In recent years, due to business expansion, knowledge levels among support engineers seem to vary.
Problem resolution typically takes between two and five days, which isn't very helpful.
If any issues arise, we can raise a vendor case, and resolutions are provided in a timely and accurate manner.
They did not have a clear answer.
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 an eight out of ten.
I sometimes notice slowness when Amazon CloudWatch agents are installed on machines with less capacity, causing me to use other monitoring tools.
We rarely have problems accessing the dashboard or the page.
I would rate its stability a nine out of ten.
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.
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.
There is room for improvement in the alerting system, which is complicated and has less documentation available.
Amazon CloudWatch charges more for custom metrics as well as for changes in the timeline.
Splunk Observability Cloud is expensive.
It appears to be expensive compared to competitors.
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.
It offers unified visibility for logs, metrics, and traces.
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 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 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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