Operations | Monitoring | ITSM | DevOps | Cloud

Impossible! Do software developers really mean this when they're estimating projects? Maybe, but they might not realize that even if a project is technically impossible, sometimes getting close is good enough. Here's part 2 of 4 of Sleuth's CTO and cofounder, Don Brown's take on decoding developer speak. Give Sleuth a try and see how we empower software teams to build faster by making engineering efficiency easy to improve and measurable — in a way that both managers and developers love.

Augmented reality and virtual reality are reality technologies that either enhance or replace a real-life environment with a simulated one. Dive into how both of these reality technologies work right here.

Coralogix supports logs, metrics, traces and security data, and can easily support even the most ambitious organization's goals, but some organizations require a multi-vendor approach. Rather than making this difficult, Coralogix makes this easy, with custom actions.

This video demonstrates how to easily manage different versions of Play Store apps on Android devices using ManageEngine MDM.

Learn from InfluxDB experts - Learn about client library support for with InfluxDB 3.0.

Join us as we explore the future of DevOps and platform engineering in this comprehensive video. As we journey towards the future, we'll examine how emerging trends and technologies are shaping these fields, reducing core challenges, and increasing efficiency and security.

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In the very first video of the series, we delve into the concept of a data loop and why it is beneficial to use Cribl Search and Cribl Stream to optimize the use of a data lake. The video gives a concise overview of Cribl Search and Cribl Stream, and how they work in tandem to create a data loop. We then provide step-by-step instructions on how to configure the Cribl Stream "Amazon S3 Data Lake" Destination to transfer data from Stream to an S3 bucket that has been optimized specifically for Cribl Search's access. Finally, we demonstrate sending sample data to the S3 bucket and present a before-and-after view of the bucket to showcase the impact of the test data.

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 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.