In the second video of our series, we delve into the nuts and bolts of configuring Cribl Search to access the data that we've stored in the S3 bucket. The video guides you step-by-step through the process of configuring the Search S3 dataset provider by using the Stream Data Lake destination as a model for the authentication information. From there, we proceed to walk through the process of creating a Dataset to access the Provider that we've just established. To wrap things up, we demonstrate how to search through the test data that we've previously stored in the S3 bucket.

The first half of 2023 has been a fantastic year thus far. We are super excited to share with you some of the newest updates and improvements we have made to your favorite monitoring tools inside of the sematext cloud. Whether you work in DevOps for a multi-billion dollar company or if you are a freelancer who owns an online business, Sematext has the perfect monitoring solution for you. Today, we will discuss our new OpenSearch integration, Changes we have made to Sematext Synthetics for HTTP monitoring, and UI changes we have made to the events tool.

The third video of our series focuses on utilizing Cribl Stream to manage data. The presenter takes us through the process of configuring the Cribl Stream in_cribl_http source in tandem with the Cribl Search send operator to collect data. We are able to witness live data results being sent from Search to Stream. Afterward, we demonstrate creating a Route in Stream to direct the incoming data from Search (via the in_cribl_http) Source to the Data Lake by using the Amazon S3 Data Lake Destination. This step employs a passthrupipeline to ensure that the data is not altered in transit.

The final section of our video series showcases how to put the data loop to use with a real-world dataset. We utilize the public domain “Boss of the SOC v3” dataset, which is readily available on GitHub. First, we employ Cribl Search to sift through and explore the BOTSv3 data that is stored in an S3 bucket to locate some specific data.

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