

AWS Auto Scaling and Cribl compete in the cloud services domain, with AWS Auto Scaling excelling in automation and Cribl offering advanced data management solutions. Based on the outlined features, Cribl appears to have the upper hand due to its flexibility in data handling and cost reduction capabilities.
Features: AWS Auto Scaling provides automation for server management and scalability, efficient handling of variable traffic demands, and seamless integration with services like Amazon ECS and CloudWatch. Cribl offers advanced data routing, log optimization, and transformation features, enabling streamlined data handling, vendor-agnostic capabilities, and significant cost reductions.
Room for Improvement: AWS Auto Scaling could improve server launch speed, simplify setup, and enhance its documentation and pricing options, including AI features for intelligent scaling. Cribl needs to address performance issues at high data ingestion volumes, improve internal logging, and expand its documentation and support for new users.
Ease Of Deployment and Customer Service: AWS Auto Scaling benefits from cloud deployment simplicity with strong technical support, mainly in public cloud settings. Cribl supports on-premises, cloud, and hybrid deployments, providing versatile options and robust customer service, though deployment complexity varies based on settings.
Pricing and ROI: AWS Auto Scaling has a variable pricing model that some find expensive, yet it offers ROI by optimizing costs in AWS environments. Cribl, while also viewed as costly, delivers ROI through reduced data ingestion costs and minimal licensing fees, particularly beneficial for larger enterprises, though smaller organizations might face challenges with entry costs.
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.
AWS support is very good.
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.
Sometimes by hearing the problem itself, they will know what the solution is, and they will let us know how to resolve it, and we do it immediately.
Scalability is impressive, as it allowed us to go from 1,000 to 10,000 active users within a week during a traffic spike.
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.
Cribl performs effectively across both market segments.
Migrating from those SC4S servers to Cribl worker nodes has truly been a game-changer.
Regarding scalability, we started with zero servers and have around 285 servers now.
Cribl is designed to deal with certain kinds of loads and is not designed to handle any scenario in the market.
This complexity led me to migrate to CloudFormation, which simplifies the deployment process.
It requires a downtime before deploying the Auto Scaling group.
If you could add more training on how to use it correctly and on the functions that I haven't used before or some people have not really used before, that would help.
A more stringent role-based access control feature would enhance security and allow granular control over what users can see and access.
When passing query logs or DNS logs, if certain malicious query patterns need to be identified or if fast-flux attacks are happening, Cribl can report that and those would definitely be a plus for them.
I would advise others looking to implement Cribl that if they are evolving Cribl Search, it would be very interesting to see more capability, more flexibility, and more ways to share the data similar to Splunk.
The pricing of Auto Scaling is medium range, neither high nor low.
Over time, the licensing cost has increased.
It was cheaper than the Splunk license.
Splunk is more expensive, and Cribl appears to be more affordable.
During peak traffic times, the Auto Scaling group can be deployed to ensure that the client works well, and the traffic remains average.
The automation aspect where you can automate it to whatever you want is what I value the most about Auto Scaling.
Its automatic scaling capabilities are very useful.
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 | Mindshare (%) |
|---|---|
| Cribl | 1.2% |
| AWS Auto Scaling | 0.5% |
| Other | 98.3% |


| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 2 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 46 |
| Midsize Enterprise | 8 |
| Large Enterprise | 34 |
AWS Auto Scaling optimizes resource use by automatically adjusting instances based on demand. It integrates with CloudWatch for seamless monitoring, enhancing system reliability and cost efficiency without manual intervention.
AWS Auto Scaling is designed to dynamically scale resources in response to demand, supporting horizontal and vertical scaling for optimal performance. It integrates well with AWS services like EC2 and ECS, allowing for flexible and scalable solutions. Predictive scaling and intelligent automation reduce costs and ensure reliability, particularly during unpredictable traffic variations. Users implement it to maintain efficiency and minimize downtime, benefiting from features such as self-healing and health checks.
What are the key features of AWS Auto Scaling?In industries with variable demand, AWS Auto Scaling is deployed to manage real-time traffic surges, ensuring efficient use of resources during periods such as events and festive seasons. Users grow dynamic environments while balancing costs and maintaining stability, integrating the tool with CI/CD processes for continuous and efficient deployment.
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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