Security Engineer at a tech services company with 201-500 employees
Real User
Top 20
2024-09-06T12:29:00Z
Sep 6, 2024
With less data coming into our system, we can now run queries faster since we're not processing as much data as before. The reduction has made our queries more efficient because we're working with more streamlined data. The quick connects are great for testing and allow you to rapidly set up a proof of concept, which is very beneficial. They can also be useful in production environments. Another significant feature is the recent Sentinel integration. The provided pack simplifies the setup process, making it much easier than the previous method, where you had to manually handle tasks like finding API keys. This integration makes the setup much more efficient. Overall, I rate the solution a seven out of ten.
I would recommend Cribl to organizations facing data challenges due to its perfect security measures and ease of use. It offers a simple, fast, and efficient solution.
Security Engineer at a tech services company with 51-200 employees
Real User
Top 20
2024-09-04T07:30:00Z
Sep 4, 2024
It's important to know what source you will be using to ingest data into Cribl. Understanding how to configure the data source is key before using the platform. Once you have that figured out, Cribl becomes a powerful solution that can ingest almost anything with its Edge capability. However, having a clear understanding of the pathways you can take to ingest data is crucial before diving into it.
In some of the projects I've been working on, we're still testing and exploring Cribl's capabilities. We haven't established specific business goals or fixed objectives yet. Currently, we're focused on ingesting data from various sources with minimal transformation to understand how Cribl handles different types of logs and data. I encounter issues with the UI not accurately reflecting the current status. For example, the UI might show that a worker is still fetching the latest version of the code, but after refreshing the page, it usually updates to show that everything is up and running. Over time, I've learned to recognize when the UI is not displaying the correct information and use the refresh button to get the accurate status. Overall, I rate the solution a six out of ten.
Lead Engineer at a tech vendor with 1-10 employees
Real User
Top 20
2024-08-23T09:04:00Z
Aug 23, 2024
The first thing to consider is the amount of data you're dealing with. Cribl is particularly beneficial for large-scale data environments. It allows you to process and store data efficiently, similar to how Splunk uses summary indexes. For example, when pulling raw events into Splunk, we often extract relevant logs using data models to simplify the data. Cribl enables a similar approach by letting you directly parse and filter data. If you have a raw event with hundreds of fields but only need 40% of those for day-to-day operations, Cribl lets you create multiple pipelines to extract the necessary data for your enterprise and production servers. At the same time, you can save a complete copy of the raw events in data lakes or local storage without affecting daily operations. If a security incident arises and the extracted fields don’t provide enough information, Cribl’s replay feature allows you to retrieve and analyze the raw data for a specific time range. This capability is handy when handling terabytes of data per day. When someone asks if Cribl is right for their needs, my first question is about the size of the data they're dealing with. Overall, I rate the solution a ten out of ten.
Senior Splunk Admin at a consultancy with self employed
Real User
Top 20
2024-07-26T09:42:00Z
Jul 26, 2024
Cribl has had a positive impact on reducing the need for multiple support services. It simplifies collecting log data from various cloud vendors in a single place, which is much easier than configuring, managing, and maintaining a database for a Splunk add-on. Cribl has made it easier to handle log data. It takes about two months to get fully up to speed. Cribl provides free training and offers sandboxes for practice, allowing you to gain the necessary knowledge. Once trained, you can start working right away. Overall, I rate the solution a ten out of ten.
Cribl optimizes log collection, data processing, and migration to Splunk Cloud, ensuring efficient data ingestion and management for improved operational efficiency.
Cribl offers seamless log collection directly from cloud sources, allowing users to visually extract necessary data and replay specific events for in-depth analysis. It provides robust management of events, parsing, and enrichment of data, along with effective log size reduction. Cribl is particularly beneficial for...
With less data coming into our system, we can now run queries faster since we're not processing as much data as before. The reduction has made our queries more efficient because we're working with more streamlined data. The quick connects are great for testing and allow you to rapidly set up a proof of concept, which is very beneficial. They can also be useful in production environments. Another significant feature is the recent Sentinel integration. The provided pack simplifies the setup process, making it much easier than the previous method, where you had to manually handle tasks like finding API keys. This integration makes the setup much more efficient. Overall, I rate the solution a seven out of ten.
I would recommend Cribl to organizations facing data challenges due to its perfect security measures and ease of use. It offers a simple, fast, and efficient solution.
It's important to know what source you will be using to ingest data into Cribl. Understanding how to configure the data source is key before using the platform. Once you have that figured out, Cribl becomes a powerful solution that can ingest almost anything with its Edge capability. However, having a clear understanding of the pathways you can take to ingest data is crucial before diving into it.
In some of the projects I've been working on, we're still testing and exploring Cribl's capabilities. We haven't established specific business goals or fixed objectives yet. Currently, we're focused on ingesting data from various sources with minimal transformation to understand how Cribl handles different types of logs and data. I encounter issues with the UI not accurately reflecting the current status. For example, the UI might show that a worker is still fetching the latest version of the code, but after refreshing the page, it usually updates to show that everything is up and running. Over time, I've learned to recognize when the UI is not displaying the correct information and use the refresh button to get the accurate status. Overall, I rate the solution a six out of ten.
The first thing to consider is the amount of data you're dealing with. Cribl is particularly beneficial for large-scale data environments. It allows you to process and store data efficiently, similar to how Splunk uses summary indexes. For example, when pulling raw events into Splunk, we often extract relevant logs using data models to simplify the data. Cribl enables a similar approach by letting you directly parse and filter data. If you have a raw event with hundreds of fields but only need 40% of those for day-to-day operations, Cribl lets you create multiple pipelines to extract the necessary data for your enterprise and production servers. At the same time, you can save a complete copy of the raw events in data lakes or local storage without affecting daily operations. If a security incident arises and the extracted fields don’t provide enough information, Cribl’s replay feature allows you to retrieve and analyze the raw data for a specific time range. This capability is handy when handling terabytes of data per day. When someone asks if Cribl is right for their needs, my first question is about the size of the data they're dealing with. Overall, I rate the solution a ten out of ten.
Cribl has had a positive impact on reducing the need for multiple support services. It simplifies collecting log data from various cloud vendors in a single place, which is much easier than configuring, managing, and maintaining a database for a Splunk add-on. Cribl has made it easier to handle log data. It takes about two months to get fully up to speed. Cribl provides free training and offers sandboxes for practice, allowing you to gain the necessary knowledge. Once trained, you can start working right away. Overall, I rate the solution a ten out of ten.