In today’s digital landscape, organizations are facing a deluge of data like never before. The exponential growth of data generation, coupled with increasing regulatory scrutiny and evolving security threats, has created a perfect storm for IT and security teams. In this paper, we explore how these escalating data challenges are reshaping IT and security operations and offer a revolutionary approach to modernizing data management.
With data volumes growing at an unprecedented rate of 28%, organizations must rethink their data management strategies to stay ahead of the curve.
The data dilemma.
Traditionally, IT and security teams have relied on fragmented data management strategies, often optimized for specific use cases or personas. However, this siloed approach hinders visibility and collaboration, leading to increased complexity, compromised security, and costly consequences. With data volumes growing at an unprecedented rate of 28%, organizations must rethink their data management strategies to stay ahead of the curve.
A unified approach.
The key to navigating the data storm lies in adopting a unified approach to data management. By breaking down data silos and centralizing data access, organizations can enhance visibility across departments, enabling better collaboration and decisionmaking. Observability data is increasingly shared across IT service management, DevOps, and product management teams. The data science team is also using observability data to gain visibility into AI models and the data feeding them. Sharing data is critical for enterprise success, and is essential for enterprise protection. Our paper explores how a unified data strategy can provide the flexibility, control, and scalability needed to tackle the challenges of modern data management.
Enhancing visibility.
One of the biggest challenges organizations face is gaining a holistic view of their data. Fragmented data management strategies make it nearly impossible to gain insights across departments, leading to missed opportunities and costly mistakes. Half of organizations report that between 25-49% of their observability data is collected in duplicate, with another 12% stating up to 74% of their data is duplicated. This lack of visibility drives up costs and complexity. The next generation of data management is a unified strategy using open formats giving you full access and control over any data in your organization. This frees you from vendor lock-in and gives you complete data independence.
Cribl’s data engine empowers you to readily onboard data from any source, consolidate and manage agents, search any data source, and costeffectively store and share your observability data.
Future-proofing your organization with Cribl.
In today’s rapidly evolving digital landscape, future-proofing your organization is more important than ever. By adopting a revolutionary approach to data management, organizations can position themselves for success in the years to come.
Cribl is data management transformed for IT and Security teams creating an efficient, purpose built data engine tailored to your unique needs. Cribl’s portfolio of products delivers a unified user experience through Cribl.cloud. Our industry-leading data engine provides a unified, composable, and flexible data management infrastructure to build your strategy for collecting, processing, and accessing data at scale. Cribl’s data engine empowers you to readily onboard data from any source, consolidate and manage agents, search any data source, and cost-effectively store and share your observability data.
The conclusion.
The data storm is here, and organizations must be prepared to navigate it effectively. By embracing a unified approach to data management, organizations can enhance visibility, improve collaboration, and future-proof their operations against the challenges of tomorrow. Start modernizing data management for IT and security today with Cribl to provide practical insights and strategies for success not only today, but in the future in an ever increasing data-driven world.
Evidence.
IDC, Worldwide IDC Global DataSphere Forecast, 2023-2027: It’s a Distributed, Diverse, and Dynamic (3D) DataSphere, #US50554523
IDC, Getting Data Collection Volume Right Is the Top Observability Challenge, #US51363123