VMware Aria Operations for Logs and Amazon CloudWatch are key competitors in the logging and monitoring solutions category. While Amazon CloudWatch holds the advantage with its comprehensive integration and scalability, VMware Aria Operations for Logs is noted for its user-friendly management and analytics capabilities.
Features: VMware Aria Operations for Logs offers in-depth log analysis through user-friendly management tools and comprehensive analytics. It provides advanced log correlation and analysis capabilities. Amazon CloudWatch is known for its robust integration with AWS services, extensive scalability, and comprehensive monitoring features across various AWS resources.
Room for Improvement: VMware Aria Operations for Logs users seek improved integration with third-party tools and enhanced automation capabilities. Enhancements in the area of alerting efficiency are also desired. Amazon CloudWatch users recommend improvements in alerting mechanisms, better dashboard customization options, and more flexibility in alerts.
Ease of Deployment and Customer Service: VMware Aria Operations for Logs is appreciated for its straightforward deployment process and reliable support, making it easy to implement. Its customer service is recognized for being responsive. Amazon CloudWatch is easy to deploy within AWS environments but presents challenges outside the AWS ecosystem. Amazon relies on self-service documentation instead of dedicated support.
Pricing and ROI: VMware Aria Operations for Logs offers a cost-effective solution with a favorable ROI, making it appealing for budget-conscious users. Amazon CloudWatch, while considered costly, provides significant value through its comprehensive features, with ROI often linked to the extent of AWS usage.
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.
Customer service and support have declined.
While support staff is knowledgeable, getting access to specialists can be challenging when dealing with the limits of a product.
I did not need technical support because I am a professional with VMware.
Amazon CloudWatch's scalability is managed by AWS.
Since payment is based on hardware, scalability impacts are managed more effectively than with other tools paid by data volume.
It's relatively easy to find individuals with the skills to work with VMware because it is a widely spread tool.
I sometimes notice slowness when Amazon CloudWatch agents are installed on machines with less capacity, causing me to use other monitoring tools.
VMware as a whole provides very stable tools.
Its stability is rated one hundred percent according to best practices.
It has been very stable, and every time I needed it, it was available and working.
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.
There is also dissatisfaction with Broadcom's broader attitude, which is prompting me to search for alternatives.
VMware Aria Operations for Logs is not a cost-effective tool.
It would be beneficial to have a roadmap for these dashboards to ensure consistent functionality.
Amazon CloudWatch charges more for custom metrics as well as for changes in the timeline.
Splunk, often paid by the terabytes, becomes expensive quickly if not managed carefully.
The price has risen significantly, and for smaller customers, the cost can be up to ten times more than before.
The cost of using VMware Aria Operations for Logs was very high, around two to three million dollars, although the exact figure is uncertain.
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.
This tool also provides greater insight when integrated with VMware infrastructure, making it more precise than other tools.
The most valuable features are log centralization and long-term retention for logs.
VMware Aria Operations for Logs is a very stable product.
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.
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