As our customers share their frustrations with the volume and growth of their observability data, we’ve got our eyes set on making it easier to manage. Our Spring 4.1 Launch involved enhancements to the Cribl suite of products — Cribl Stream, Cribl Edge, and Cribl Search — that give users more choice and control over their end-to-end observability architecture.
You may be thinking of investing in multiple cloud vendors to increase redundancy and deal with the complexity of your enterprise requirements. You are not alone. Many enterprises are moving in this direction to take advantage of the options offered by competing cloud vendors. Adopting one major cloud vendor is a complex project that can consume a company for months if not years.
Easy to implement, effective data management tools that provide fast time to value are the exception rather than the rule, and top-notch support for those tools is also hard to come by. That’s why Cribl prioritizes creating products that make the lives of engineers and systems admins as easy as possible. The reviews on Gartner Peer Insights give us a glimpse into how well we’re holding up our end of the bargain.
In this livestream, Jackie McGuire and I discuss the harmful effects of data debt on observability and security teams. Data debt is a pervasive problem that increases costs and produces poor results across observability and security. Simply put — garbage in equals garbage out. We delve into what data debt is and some long term solutions. You can also subscribe to Cribl’s podcast to listen on the go!
The Cribl team just wrapped up the 2023 AWS Summit in Washington, DC, and we were thrilled to spend a few days chatting with public sector organizations looking to gain the freedom and flexibility our products offer.
Cribl has a unique position right in the middle of the observability market, giving us a distinct view of all things security, APM, and log analysis. Observability as a concept has exploded into specialized areas over the past two years, and making sense of the players and market forces, particularly in a difficult macro environment, can be tricky. Let’s break it down.
On June 28th I will be hosting a webinar, ‘The Fundamentals of Searching Observability Data’. So why should you attend? Because things have, and will continue to change in the way we manage the IT data collected across the enterprise. A recent study shows that enterprises create over 64 zettabytes (ZB) of data, and that number is growing at a 27 percent compound annual growth rate (CAGR). The scary part?
IT, DevOps, and security teams are figuring out the best ways to manage their complex, ever-growing, ever-changing environments. And one contributing factor to all the complexity is the rise of using multiple cloud services. One cloud service to manage is difficult enough, but adding more to the mix — each with its own interface and set of tools — makes everyone’s job significantly more difficult.
A reference architecture is a lovely document, but they rarely help engineers and architects implement their tools effectively. Most reference architectures offer plenty of suggestions and ideas, but not enough context. We will explore ways to make reference architectures more useful while reducing reliance on the vague and dreaded “It Depends. Cribl has just released its first official reference architecture.
In the era of big data, data lakes have emerged as a popular way to store and process massive amounts of data. Fortunately, with Cribl Search and Cribl Stream, you can create a Data Loop to optimize the use of your data lake by saving Search results as part of an investigation. Our four-part video series explains how to set up Cribl Search and Cribl Stream to establish a Data Loop using the Amazon S3 Data Lake destination in Cribl Stream and the Cribl Stream in_cribl_http source.
