Observability

Migrating from Legacy SaaS to Cortex XCOR: How AI-Powered Tooling and Open Standards Streamline Your Transition

Migrating from Legacy SaaS to Cortex XCOR: How AI-Powered Tooling and Open ...

When evaluating observability platforms, engineering organizations rarely start from scratch. Teams have established tooling and workflows, whether in SaaS platforms such as Datadog and Dynatrace or self-hosted...
Oct 01, 2026
Introducing XCOR Operator and AI SRE Agent: Extending AI Automation to Production Observability

Introducing XCOR Operator and AI SRE Agent: Extending AI Automation to Prod...

Modern software development has undergone a permanent structural transformation. Engineering teams no longer write code line-by-line; developers now act as orchestrators for fleets of specialized AI agents. As...
Oct 01, 2026
Start with the user: Introducing Cortex XCOR Real User Monitoring

Start with the user: Introducing Cortex XCOR Real User Monitoring

Today we're introducing Cortex XCOR Real User Monitoring (RUM). It brings real user monitoring for web and mobile apps, along with synthetic monitoring, into Cortex XCOR, where it connects directly to the metri...
Oct 01, 2026
Aligning Observability Costs with Operational Value: Consumption-Based Pricing and Budgets

Aligning Observability Costs with Operational Value: Consumption-Based Pric...

High-growth engineering organizations require observability platforms that scale alongside their infrastructure without imposing unpredictable financial overhead. Cortex XCOR operates on a consumption-based pri...
Oct 01, 2026

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