Amazon CloudWatch and Prometheus-AI Platform both offer advanced monitoring solutions in the tech industry. CloudWatch is favored for its seamless AWS integration and robust features, while Prometheus, being open-source, stands out for its adaptability and cost-effective nature.
Features: Amazon CloudWatch is recognized for its integrated AWS solutions, offering real-time data analytics and task automation, giving users detailed insights and scalable monitoring capabilities. Prometheus-AI Platform excels with its open-source flexibility, supporting advanced customization and robust integration capabilities. It offers an extensive range of functions for metrics analysis, ideal for diverse requirements.
Room for Improvement: Amazon CloudWatch users desire enhanced dashboard features, better integration with non-AWS services, and more cost-effective solutions. Prometheus-AI Platform needs to improve its user interface, enhance visualization tools, and provide better documentation for new users.
Ease of Deployment and Customer Service: Amazon CloudWatch is primarily used in public cloud environments, with tiered, paid technical support that is expert yet costly. Prometheus-AI Platform is popular for hybrid and on-premises setups due to its open-source nature, though it lacks dedicated customer support, relying instead on community forums and documentation.
Pricing and ROI: Amazon CloudWatch features a pay-as-you-go model that can become expensive as usage scales, but it offers significant ROI through streamlined operations. Prometheus-AI Platform provides a cost-effective solution with its open-source model, appealing to companies aiming to minimize expenses while maintaining effective monitoring, free from licensing fees and adaptable to varied needs.
Amazon CloudWatch offers cost-saving advantages by being an inbuilt solution that requires no separate setup or maintenance for monitoring tasks.
Using open-source Prometheus saves me money compared to AWS native services.
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.
In recent years, due to business expansion, knowledge levels among support engineers seem to vary.
Prometheus does not offer traditional technical support.
Amazon CloudWatch's scalability is managed by AWS.
Prometheus is scalable, with a rating of ten 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.
Deploying it on multiple instances or using Kubernetes for automatic management has enhanced its stability.
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.
Amazon CloudWatch charges extra for custom metrics, which is a significant disadvantage.
Maybe Amazon Web Services can improve by providing a library for CloudWatch with some useful features.
Overall, the pricing of Amazon CloudWatch is very expensive.
Amazon CloudWatch charges more for custom metrics as well as for changes in the timeline.
Prometheus is cost-effective for me as it is free.
Being an inbuilt solution from AWS, it saves time on installation, setup, and maintenance.
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.
It allows me to save money by avoiding costs associated with AWS native services like CloudWatch or Amazon Prometheus.
| Company Size | Count |
|---|---|
| Small Business | 17 |
| Midsize Enterprise | 8 |
| Large Enterprise | 24 |
| Company Size | Count |
|---|---|
| Small Business | 14 |
| Midsize Enterprise | 8 |
| Large Enterprise | 12 |
Amazon CloudWatch integrates seamlessly with AWS, providing real-time monitoring and alerting features. Its interface supports task automation, enhancing troubleshooting and analytics capabilities, while offering strong security and scalability at a cost-effective rate.
Amazon CloudWatch is an impactful platform for monitoring AWS resources and managing application performance. It simplifies infrastructure performance monitoring by providing comprehensive analytics capabilities, including application insights and event scheduling. Users appreciate CloudWatch for its detailed metrics, dashboards, and support in issuing alerts to detect anomalies. It efficiently tracks performance, optimizes resource utilization, and ensures service availability. CloudWatch is recognized for its robust alerting features and integration with other AWS services, further supporting its resource monitoring capabilities. However, there is room for improvement in dashboard customization, log streaming speed, and integration with non-AWS services. Enhancements in API integration, machine learning features, and support for third-party tools are also desired.
What features does Amazon CloudWatch offer?Industries implementing Amazon CloudWatch often focus on optimizing IT infrastructure. Companies in sectors like finance and e-commerce rely on its monitoring and alerting capabilities to ensure service uptime and performance. The platform's automation and analytics features empower teams to proactively manage performance and detect potential issues promptly.
Prometheus-AI Platform offers flexible solutions for collecting, visualizing, and comparing metrics, appreciated for its scalability, rich integrations, and open-source adaptability.
Prometheus-AI Platform provides a reliable framework for monitoring and analyzing metrics across diverse environments. With extensive API support, it supports data collection, querying, and visualization, integrating seamlessly with tools like Grafana. High availability, scalability, and lightweight configuration make it suitable for traditional and microservice environments, while community support enhances its utility. Though its query language and interface require improvements for better ease of use, and with calls for stronger integration options, the platform remains a leading choice for comprehensive metric analysis.
What are Prometheus-AI Platform's main features?Companies leverage Prometheus-AI Platform across various industries, utilizing it to monitor and analyze metrics from applications and infrastructure. It is extensively used in financial services and IT sectors for collecting, scraping logs, and monitoring Kubernetes deployments. Deployed both on-premise and in cloud environments like Azure and Amazon, it supports system and application metrics analysis, ensuring a comprehensive view for developers.
We monitor all Cloud Monitoring Software reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
