Operations | Monitoring | ITSM | DevOps | Cloud

When working with sensitive data, there’s no skimping on security. Keeping data protected and private is paramount at Cribl, which is why we prioritized building a robust framework for Role-Based Access Control (RBAC), and with this latest release, we created an authorization system across the entire Cribl suite. WOOHOO!!

Data has become an essential asset for businesses, driving innovation, improving decision-making, and shaping the future. But how does one effectively manage this valuable resource? This is where Data Lifecycle Management (DLM) comes in — a comprehensive approach to managing data throughout its lifecycle. This blog post will guide you through the ins and outs of DLM, its key stages, benefits, and the tools and technologies that enable successful implementation. Let's dive in!

With thousands of logs generated every minute from your infrastructure, applications, services, and devices, retaining this copious amount of data for active search and analysis can be cost-prohibitive. Because log volumes continue to grow rapidly as operations scale, it’s common for organizations to implement log management strategies and store only a limited number to minimize costs.

Government and education leaders estimate that data volume at their organizations will increase by 59% over the next three years. Although having more information than you need is (arguably) better than not having it when you need it, the sheer volume of data can make it challenging for teams to pinpoint exactly what data will bring value to their mission goals.

Imagine your company relies on inaccurate data to drive its strategies, only to realize too late that the information needed to be revised. The consequences could be devastating — missed opportunities, incorrect forecasts, and damaged customer relationships. But by monitoring data, you can understand your company's digital ecosystem comprehensively, make informed decisions, optimize processes, and mitigate risks effectively.

Digital Experience Monitoring (DEM) is a practice that involves monitoring and analyzing the end-to-end digital experience of users interacting with websites, applications, and other digital services. By examining performance, availability, and usability from the end user’s perspective, DEM provides insights into the performance, availability, and usability of these services from the perspective of the end user.

The term index is quite overloaded in the tech world. If you asked most developers what an index is, they might tell you it commonly refers to a data structure in a relational database (RDBMS) that is associated with a table, which improves the speed of data retrieval operations. But what is an Elasticsearch® index?

During our March Cribl User Group livestream, Cribl’s own Eugene Katz covered some of the updates we made to our documentation on Architectural Considerations for deploying Cribl Stream. Topics included our guidelines for determining the ideal number of worker nodes, accounting for throughput variability, and preparing for system failure. The full video has more information on these and other things to consider when determining the right balance between cost and risk for your organization.