Discover how telco operators can unlock predictive, AI-driven operations by building data-centric AIOps foundations that turn massive telemetry into real-time intelligence.
by Johanan Ottensooser
As applications evolve, data-intensive features like dashboards, recommendations, and real-time analytics become essential—but traditional transactional databases can’t keep up. This article explores why teams inevitably outgrow OLTP systems, the costly pitfalls of midstream OLAP rearchitecture, and how Fiveonefour’s MooseStack, Boreal, and Sloan (formerly Aurora) make adopting scalable analytics architectures faster, easier, and less painful—from day one or anytime after.
by Johanan Ottensooser
As your application scales, balancing fast transactions with heavy analytical queries becomes a growing challenge. This guide explores four stages of backend maturity—from simple OLTP setups to fully cloud-native OLAP architectures—so you can design data systems that scale intelligently.
by Chris Crane
OpenTelemetry (OTEL) is an open-source framework that unifies logs, metrics, and traces, giving organizations a standard, vendor-neutral foundation for observability at scale.
by Johanan Ottensooser
Enterprises are increasingly building their own observability stacks to overcome the limits of commercial tools. Learn how to construct a custom OaaS platform with open standards, scalable data pipelines, and technologies like Moose and Boreal for cost-efficient, future-proof observability.
by Chris Crane
