Vector
High-performance observability pipeline for logs, metrics and traces (OpenShift Logging).
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What is this technology for?
Its role in production environments and why it is taught in our curriculums.
Vector is a high-performance observability pipeline for logs, metrics and traces — the engine behind OpenShift Logging for routing data to storage and analysis.
What you will learn
The hands-on skills you will gain on this technology in our curriculums.
- Deploy Vector as OpenShift Logging collector
- Configure log sources, transforms and sinks
- Forward logs to Loki and other backends
- Troubleshoot logging pipelines
Latest News & Ecosystem Updates
Recent innovations, major releases, and key industry milestones in the ecosystem.
Vector 0.40: High-Throughput Rust-Based Log & Metrics Data Pipeline
Transform, sanitize, and route terabytes of daily log streams with minimal CPU and memory overhead.
On-The-Fly Automated Sensitive Data & PII Masking (GDPR Compliance)
Real-time sanitization of application logs before forwarding to centralized data lakes and SIEM platforms.
Featured in the curriculum
Find this technology in the following modules of our Red Hat certified curriculums.
AS300 — AI Platform Engineer
View curriculum →
OpenShift Administration II
DO380 · Module 4 — AS300
