Operations | Monitoring | ITSM | DevOps | Cloud

Join Ed Bailey from Cribl and John Alves from CyberOne Security as they discuss the struggles faced by many SIEM teams in managing their systems to control costs and extract optimal value from the platform. The prevalence of bad data or an overwhelming amount of data leads to various issues with detections and drives costs higher and higher. It is extremely common to witness a year-over-year cost increase of up to 35%, which is clearly unsustainable.

Deploying new tools can be challenging 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 Eugene Katz will share a real-life example of how a customer would start the deployment planning process using real-world examples. We will start with requirements and finish with a diagram to help guide a production deployment.

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.