Deploying new tools can be a challenging process for Operations and Security data teams. However, we recently released a reference architecture for Cribl Stream to streamline this process and reduce trial and error. During a live discussion, Cribl's Ed Bailey and SpyCloud's Ryan Sauders will share a real-life example of how a long-time customer utilized this reference architecture to build a scalable deployment. Ryan will explain how this approach enabled SpyCloud to grow alongside its evolving needs, without requiring significant rework.

Control your SIEM costs by optimizing and reducing the data you are ingesting while keeping a full-fidelity copy for compliance and investigations.

The cybersecurity industry is experiencing an explosion of innovative tools designed to tackle complex security challenges. However, the hype surrounding these tools has outpaced their actual capabilities, leading many teams to struggle with their complexity and struggle to extract value from their investment.

Join Cribl's Ed Bailey and Ahmed Kira as they provide more detail about the Cribl Stream Reference Architecture, which is designed to help observability admins achieve faster and more valuable stream deployment. During this live stream discussion, Ed and Ahmed will explain the guidelines for deploying the comprehensive reference architecture to meet the needs of large customers with diverse, high-volume data flows. They will also share different use cases and discuss the pros and cons of using the comprehensive reference architecture.

Join Cribl's Ed Bailey and Jackie McGuire as they 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.

Wherever your data comes from, wherever it needs to go, Cribl gives you the freedom and flexibility to make choices instead of compromises.

Join Cribl’s Ed Bailey and Ahmed Kira in an insightful discussion about scaling your Cribl Stream architecture to accommodate a large number of agents. Managing high-volume agent data flows presents a unique set of challenges that must be addressed to ensure the reliable transmission of data from your endpoints to your analytics systems, meeting business resiliency requirements. Errors arising from agent scale and data volume can lead to difficult-to-diagnose and even more challenging-to-fix issues that tend to surface at the most inopportune times.

Cribl.Cloud provides control over observability data without the hassle of running infrastructure. Cribl.Cloud quickly spins up all Cribl products — Stream, Edge, and Search — in just a few minutes.Teams can get working quickly and make their observability data valuable while Cribl handles scaling and security.

Cribl’s suite of products help you gain the control and confidence you need to successfully migrate to the cloud. With routing, shaping, enriching, and search functionalities, data becomes more manageable and allows you to work more efficiently. By routing data from existing sources to multiple destinations, you can ensure data parity in your new cloud destinations, before turning off your on-premises (or legacy) analytics, monitoring, storage, or database products and tooling.

Join Cribl's Ed Bailey and Cjapi's James Curtis as they discuss the challenges of building a distributed global security team. Talent is hard to find and companies are hiring all over the world to build the best teams possible, but this trend has a price. Traditional management processes do not work, from building culture to the basics around assigning, tracking and measuring work. Team leads and managers rarely have the experience and training to handle remote teams which can impact team effectiveness and thus weaken the enterprise security posture.