Cribl Search is a powerful tool that allows users to search and analyze data at rest, quickly and efficiently. But what if you need to send your search results to a different system for further analysis, audit, or compliance purposes? For instance, consider the following use cases: That’s where send operator comes in.
It’s been less than 4 months since we released Cribl Search, the first federated query engine focused on observability and security data. The reception has been tremendous. Customers, partners, prospects, and even our internal teams were overjoyed by the initial offering but have been anxiously awaiting the promises of the next release. The wait is over!
After our recent company-wide offsite in New Orleans, the Cribl employees are feeling like they’ve leveled up in more ways than one. Not only did we indulge in delicious beignets and king cakes, but we also came back motivated to create some kick-ass new product features with our 4.1 release. It’s like we soaked up all the good vibes and brought them back with us.
In this live stream discussion, Eugene Katz and I explain the importance of a quality reference architecture in successful software deployment and guide viewers on how to begin with the Cribl Stream Reference Architecture. They help users establish end-state goals, share different use cases, and help data administrators identify which parts of the reference architecture apply to their specific situation. It’s also available on our podcast feed if you want to listen on the go.
Using Cribl Stream for observability is a given, but what about using Cribl Stream to get MORE from your data? Observability is all about being able to collect, route, store, and search your data. Implementing enrichment with observability provides more context and elevates your ho-hum data to robust information. This is key to faster, more confident decision-making!
Today’s enterprises must have the capability to cope with the growing volumes of observability data, including metrics, logs, and traces. This data is a critical asset for IT operations, site reliability engineers (SREs), and security teams that are responsible for maintaining the performance and protection of data and infrastructure. As systems become more complex, the ability to effectively manage and analyze observability data becomes increasingly important.
Fun fact: Observability goes all the way back to the 1960s, coined by scientist Rudolf Kálmán as a way to measure a system through its output. Now, over six decades later, observability has fragmented into several specialized segments — from application observability, to security observability, and everything in between. The two segments driving the most confusion are data observability and observability data.
Values led culture. Meaningful work. Remote-first environment. Massive growth. A love of Goats. These are just some of the ingredients that make Cribl a place where employees can do their best work. And we’re honored to be recognized by Forbes as one of America’s Best Startup Employers 2023 with a top 10 ranking! Not all awards are created equal, and this recognition by Forbes is particularly meaningful because it’s based on extensive data research and social listening analysis.
Cybersecurity threats are coming in hot and have quickly become an urgent concern for organizations of all sizes. In response, security teams are shifting away from homegrown security solutions and towards automation using commercially available tools. As organizations seek to improve their security resilience, they find themselves also needing to scale their security teams more efficiently as they address continuous staffing shortages.
Those of you in the know, have already met Darmar, our Security Analyst at the Cribl University campus. (If you aren’t in the know, check out our newly rolled-out CCOE Stream Admin training to meet our beloved – & fictitious – goat). Hang with me, while I recount Darmar’s journey to unlocking the full value of their data.
