Amazon CloudWatch and Cribl compete in the monitoring and data transformation space. Amazon CloudWatch seems to have the upper hand with its robust integration and comprehensive monitoring features deeply embedded within AWS environments.
Features: Amazon CloudWatch offers real-time monitoring, versatile alarms, and seamless AWS integration making it ideal for infrastructure management. Its ease of use and detailed log insights cater well to AWS users. Cribl focuses on data transformation, real-time processing, and flexible data routing. It is known for effective log reduction and integration capabilities across platforms, enabling users to manage diverse data sources efficiently.
Room for Improvement: Amazon CloudWatch struggles with UI complexity and limited cross-cloud portability, along with delayed log streaming. Enhancements in dashboard functionality and configuration simplification are sought after. Cribl needs improved documentation, enhanced integration with enterprise products, and better internal logging. Expansion in dashboard features would also benefit users.
Ease of Deployment and Customer Service: Amazon CloudWatch integrates seamlessly with AWS, primarily targeting public cloud users. Its support is tiered and generally satisfactory, although cost issues are noted. Cribl's hybrid deployment approach serves both on-premises and cloud environments but could improve user engagement and provide clearer guides.
Pricing and ROI: Amazon CloudWatch is cost-effective within AWS, though costs rise with usage. It offers a reasonable ROI through efficient monitoring and resource utilization. Cribl, although not the least expensive, provides significant data handling cost reductions, particularly appealing for large data volumes when compared to solutions like Splunk. Both provide substantial ROI, with CloudWatch driving value through AWS integration and Cribl through data transformation efficiency.
Amazon CloudWatch offers cost-saving advantages by being an inbuilt solution that requires no separate setup or maintenance for monitoring tasks.
In the case of optimization, it has helped return on investment to somewhere close to 50%.
we have saved a significant amount of time and resources moving from a manual approach to something that's more automated.
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.
If they could enhance their internal logging, we won't require Cribl support to engage.
The community, including the engineering and sales teams, is available on Slack and is very supportive.
Amazon CloudWatch's scalability is managed by AWS.
It's an enterprise version, and we have a good amount of users using this solution.
I don't need to talk to a Cribl engineer to connect a new log source.
Cribl is quite scalable, as we could add worker nodes as our data grows.
I sometimes notice slowness when Amazon CloudWatch agents are installed on machines with less capacity, causing me to use other monitoring tools.
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.
Cribl is quite stable and doesn't crash; there's no unusual behavior.
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.
Maybe Amazon Web Services can improve by providing a library for CloudWatch with some useful features.
Amazon CloudWatch charges extra for custom metrics, which is a significant disadvantage.
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.
Since Cribl is such a large platform with numerous features, having a clear, structured approach would make it easier for me and others to understand and utilize its capabilities.
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.
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.
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.
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 community on Slack is excellent for solving questions and getting ideas.
| Product | Market Share (%) |
|---|---|
| Cribl | 1.1% |
| Amazon CloudWatch | 1.7% |
| Other | 97.2% |
| Company Size | Count |
|---|---|
| Small Business | 17 |
| Midsize Enterprise | 8 |
| Large Enterprise | 24 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 4 |
| Large Enterprise | 8 |
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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