ArcSight Logger and Amazon CloudWatch compete in the log management and monitoring category. User insights suggest Amazon CloudWatch may have an edge due to its AWS integration and scalability, while ArcSight Logger is appreciated for its support and pricing.
Features: ArcSight Logger includes robust log management with advanced search capabilities and notable customer support. Amazon CloudWatch offers exceptional integration with AWS services, a high scalability factor, and resource-efficient monitoring that benefits cloud-heavy environments.
Room for Improvement: ArcSight Logger could improve its setup process, enhance its alert system, and streamline the user interface. Amazon CloudWatch faces challenges with its complex navigation, usability concerns, and the learning curve due to its diverse functionalities yet remains feature-rich.
Ease of Deployment and Customer Service: ArcSight Logger is recognized for straightforward deployment and responsive customer service in enterprise settings. Although Amazon CloudWatch requires a steeper learning curve, it benefits from extensive AWS documentation and support services, providing a robust counterbalance.
Pricing and ROI: ArcSight Logger offers predictable pricing and delivers reliable ROI according to users, with consistent cost-effectiveness. Amazon CloudWatch, despite higher costs associated with AWS's pay-as-you-go model, delivers value through decreased resource use and effective monitoring, ultimately enhancing ROI.
Amazon CloudWatch offers cost-saving advantages by being an inbuilt solution that requires no separate setup or maintenance for monitoring tasks.
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.
We provide pre-implementation, implementation, and post-implementation support.
Amazon CloudWatch's scalability is managed by AWS.
I sometimes notice slowness when Amazon CloudWatch agents are installed on machines with less capacity, causing me to use other monitoring tools.
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.
Splunk does much more than SIEM, including log analysis, user behavior analysis, threat intelligence, and customer behavior analysis.
Overall, the pricing of Amazon CloudWatch is very expensive.
Amazon CloudWatch charges more for custom metrics as well as for changes in the timeline.
Being an inbuilt solution from AWS, it saves time on installation, setup, and maintenance.
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.
I like its filtering capability and its ability to give the cyber engine insights.
ArcSight Logger installs on very minimal resources with very few requirements
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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