Ingext is a data fabric platform that helps enterprises collect, process, and route high-volume telemetry and observability data across diverse environments in real time. Designed for scalability and cost efficiency, Ingext simplifies the movement of data between sources, storage, and analytics systems, enabling organizations to control costs while maintaining full visibility into their operations. Unlike traditional data pipelines or point-to-point integrations, Ingext provides a unified layer that sits between data producers (such as cloud services, security tools, and infrastructure logs) and data consumers (such as SIEMs, data lakes, or analytics platforms). Its architecture allows teams to normalize, enrich, filter, and transform data streams before they reach expensive downstream systems—reducing storage overhead and improving the quality of analytics. Ingext supports cloud, hybrid, and on-premises deployments, giving organizations granular control over how and where data is processed. It’s designed for IT, security, and operations teams who need consistent, policy-driven data handling without vendor lock-in or costly per-gigabyte pricing models. Key Capabilities * Unified Data Fabric: Centralizes collection and delivery of logs, metrics, and events from any source to any destination. * Flexible Routing: Dynamically routes data to multiple targets including Splunk, Elasticsearch, Snowflake, or S3-compatible data lakes. * Transformation and Enrichment: Applies parsing, filtering, redaction, and enrichment rules in-stream for compliance and efficiency. * Cost Optimization: Reduces SIEM and analytics storage costs through pre-processing, sampling, and tiered routing. * Scalable and Secure: Built for enterprise workloads with role-based access control (RBAC), audit logging, and high-throughput performance. * Hybrid Deployment: Operates natively in cloud or on-prem environments with the same configuration and governance framework. Value to Organizations Ingext enables enterprises to reduce cost, simplify complexity, and future-proof data operations. By decoupling collection from storage, it empowers teams to evolve their analytics tools and infrastructure without re-architecting data flows. The result is a streamlined, compliant, and transparent data ecosystem that ensures every event—no matter its source—can be used effectively where it matters most.