OpenText AI Operations Management and Amazon CloudWatch compete in the enterprise IT management category. Amazon CloudWatch holds an advantage due to its seamless integration within the AWS ecosystem and ease of deployment for AWS users.
Features: OpenText AI Operations Management offers event correlation and infrastructure monitoring, providing a unified dashboard for service delivery, scalability, and diverse monitoring source integration. It creates comprehensive views and root-cause analyses across hybrid landscapes. Amazon CloudWatch integrates seamlessly with AWS services, offering robust infrastructure monitoring, real-time data capabilities, and advantageous real-time alerts, especially beneficial within AWS environments.
Room for Improvement: OpenText AI Operations Management's complexity, expensive implementation, and performance issues, particularly in reporting and correlation, are areas needing refinement. Its resource demand is also a drawback. Amazon CloudWatch requires better pricing mechanisms, especially for custom metrics, and lacks comprehensive visibility for non-AWS services. Users desire improvements in dashboard design and application performance analytics.
Ease of Deployment and Customer Service: OpenText AI Operations Management, typically deployed on-premises, has a complex deployment process affected by inconsistent customer service. Reviews on technical support vary in effectiveness and depth. Amazon CloudWatch, widely used in public and hybrid clouds, benefits from AWS integration simplifying deployment, yet experiences complexity in customer service interactions along with occasional support delays.
Pricing and ROI: OpenText AI Operations Management is costly but flexible based on selected modules, providing ROI through automation and integration, with its cost justified by comprehensive monitoring coverage. Amazon CloudWatch is cost-effective for AWS users, with its pay-as-you-go model appealing, though costs rise with extensive usage. Its cost-efficiency within the AWS ecosystem stands out for continuous cloud-native operations.
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.
OpenText goes out to bring the right people to answer any inquiries I have.
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 is more business-friendly due to its prettier interface.
Overall, the pricing of Amazon CloudWatch is very expensive.
Amazon CloudWatch charges more for custom metrics as well as for changes in the timeline.
With its automation capabilities and runbooks, it reduces after-hours costs by automatically handling recurring issues and known scenarios.
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.
This automation significantly reduces manual intervention in ticket handling.
| Product | Market Share (%) |
|---|---|
| Amazon CloudWatch | 2.3% |
| OpenText AI Operations Management | 0.5% |
| Other | 97.2% |
| Company Size | Count |
|---|---|
| Small Business | 17 |
| Midsize Enterprise | 9 |
| Large Enterprise | 24 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 7 |
| Large Enterprise | 35 |
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.
OpenText AI Operations Management centralizes event correlation and monitoring across infrastructures, prioritizing scalability and automation for efficient alert management. It empowers organizations with transparency and insights essential for effective IT resource management in hybrid cloud environments.
OpenText AI Operations Management offers comprehensive solutions for event correlation, integration, and centralized alert management. With capabilities that streamline operations, this tool supports efficient IT management across AWS, GCP, and on-premises environments. Despite requiring improvements in performance and usability, its robust reporting and seamless monitoring provide valuable insights for root cause analysis. Users leverage this platform to integrate event data, automate incidents, and manage hybrid infrastructures effectively, making it a key component in enhancing service perspectives globally. Its heavy architecture and reliance on Java and Flash, coupled with complex licensing and pricing, necessitate attention to functionality and support areas.
What are the key features of OpenText AI Operations Management?OpenText AI Operations Management is widely implemented in industries requiring comprehensive monitoring capabilities. Organizations benefit from its ability to consolidate tools and manage events effectively across hybrid environments. The integration of incident automation and performance evaluation tools is particularly beneficial for those looking to enhance compliance support and reduce response times. Despite some challenges, the platform remains a valuable asset in managing complex IT environments and improving operational effectiveness.
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