

Amazon CloudWatch and Cribl are key competitors in infrastructure monitoring and data handling. Amazon CloudWatch is favored for its AWS compatibility, while Cribl excels in advanced data management. Cribl's flexibility gives it an edge in handling diverse infrastructure needs.
Features: Amazon CloudWatch provides seamless integration with AWS, detailed metrics, and real-time alerts that are vital for infrastructure monitoring. It is easy to set up and use within AWS services. Cribl focuses on data transformation, masking, and routing, offering real-time insights and log reduction, making it ideal for complex data environments and integration with various tools.
Room for Improvement: Amazon CloudWatch needs better dashboard customization and real-time visualization when not using AWS-exclusive services. Users seek improved pricing and reporting features, plus enhanced application performance monitoring. Cribl could improve its logging and debugging capabilities, offer easier integrations with different enterprise products, and handle historical data better. Users also suggest more custom packs and better UI intuitiveness.
Ease of Deployment and Customer Service: Amazon CloudWatch is primarily deployed on public cloud platforms with integration into AWS environments, offering comprehensive support. Satisfaction varies based on the support package. Cribl can be deployed in hybrid and on-premises environments, providing flexibility, but lacks consistent support satisfaction compared to Amazon. Amazon's tiered support reviews are mixed due to cost implications, while Cribl users find its support more straightforward and accessible.
Pricing and ROI: Amazon CloudWatch is generally cost-effective within AWS but faces feedback on pricing complexity and extra charges for advanced metrics. It offers a positive ROI due to strong AWS integration. Cribl has competitive pricing, especially compared to solutions like Splunk, and is cost-effective for large data volumes. Cribl's ROI is favorable for managing costs related to expensive data storage and processing.
Amazon CloudWatch offers cost-saving advantages by being an inbuilt solution that requires no separate setup or maintenance for monitoring tasks.
What we've seen is really an overall reduction of just shy of 40% in our ingest into our SIM platform versus prior to having Cribl.
The second thing is that data aggregation, sampling, and reduction that we're able to do of the data, lowering our overall data volume, both traversing the network as well as what's being stored inside of our final solutions.
In terms of reduction, we were able to save almost ~40% of our total cost.
In recent years, due to business expansion, knowledge levels among support engineers seem to vary.
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.
They had extensive expertise with the product and were able to facilitate everything we needed.
Usually, within an hour, we get a response, and we are able to work with them back and forth until we resolve the issues.
If they could enhance their internal logging, we won't require Cribl support to engage.
It is already there as a managed service from AWS.
Amazon CloudWatch's scalability is managed by AWS.
The infrastructure behind Cribl Search is also scalable as it uses a CPU and just spawns horizontally more instances as it demands and requires.
Compared to other SIEM tools I use, any slight change on the operating system end impacts a lot on our SIEM tools and other things, but Cribl performs well in that regard.
It's an enterprise version, and we have a good amount of users using this solution.
I sometimes notice slowness when Amazon CloudWatch agents are installed on machines with less capacity, causing me to use other monitoring tools.
Migrating from those SC4S servers to Cribl worker nodes has truly been a game-changer.
I would rate the stability as ten out of ten.
If the pipeline is down and we receive an alert that it's not sending information to the log collection platform for more than one or two hours, if we receive an alert, it would be great.
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.
We are in a process of integrating Grafana, Loki, and Prometheus to have better visualization on Amazon CloudWatch.
Maybe Amazon Web Services can improve by providing a library for CloudWatch with some useful features.
A more stringent role-based access control feature would enhance security and allow granular control over what users can see and access.
If we can have more internal logs and more debug logs to validate the error, that would be beneficial because instead of reaching out to Cribl support, we can troubleshoot and find the root cause ourselves.
In terms of large datasets—whether they originated from network inputs, virtual machines, or cloud instances—ingesting the data into the destination was relatively easy.
Overall, the pricing of Amazon CloudWatch is very expensive.
Amazon CloudWatch charges more for custom metrics as well as for changes in the timeline.
Over time, the licensing cost has increased.
Cribl is very inexpensive, with enterprise pricing around 30 cents per GB, which is really decent.
They have a universal license that allows us to consume the portions of Cribl that we want to use or flex into other portions of Cribl.
Amazon CloudWatch allows me to set up and view even historical logs, which is one of the features I find valuable.
If there is a CPU spike or system issues, we set alarms to notify us if the system is going down or not reachable.
I like its filtering capability and its ability to give the cyber engine insights.
The data reduction and preprocessing capabilities make Cribl really unique.
Cribl has a feature called JSON Unroll or Unroll function that allows you to differentiate the events; each event will come ingested as a single log instead of piling it up with multiple events.
The Cribl UI is very simple and easy to use, particularly when working with data from various sources; it makes it very easy to create pipelines, add complex logic to those pipelines, and then gives you a preview of what your data looks like before applying that pipeline and what you get after.
| Product | Market Share (%) |
|---|---|
| Cribl | 1.1% |
| Amazon CloudWatch | 1.5% |
| Other | 97.4% |


| Company Size | Count |
|---|---|
| Small Business | 17 |
| Midsize Enterprise | 9 |
| Large Enterprise | 24 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 5 |
| Large Enterprise | 16 |
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.
Cribl offers advanced data transformation and routing with features such as data reduction, plugin configurations, and log collection within a user-friendly framework supporting various deployments, significantly reducing data volumes and costs.
Cribl is designed to streamline data management, offering real-time data transformation and efficient log management. It supports seamless SIEM migration, enabling organizations to optimize costs associated with platforms like Splunk through data trimming. The capability to handle multiple data destinations and compression eases log control. With flexibility across on-prem, cloud, or hybrid environments, Cribl provides an adaptable interface that facilitates quick data model replication. While it significantly reduces data volumes, enhancing overall efficiency, there are areas for improvement, including compatibility with legacy systems and integration with enterprise products. Organizations can enhance their operational capabilities through certification opportunities and explore added functionalities tailored towards specific industry needs.
What are Cribl's most important features?Cribl sees extensive use in industries prioritizing efficient data management and cost optimization. Organizations leverage its capabilities to connect between different data sources, including cloud environments, improving both data handling and storage efficiency. Its customization options appeal to firms needing specific industry compliance and operational enhancements.
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