Query and Analyze Logs Visually, Without Writing LogQL
Visually build, parse, and analyze logs across services, no LogQL required. Get structured insights faster with Query Builder.
Build Log Automation with Last9's Query API
Here's how you can build automated log analysis workflows with Last9's Query Logs API
Enable Kong Gateway Tracing in 5 Minutes
Instrument Kong with OpenTelemetry for end-to-end API visibility, no code changes required.
Kibana Logs: Advanced Query Patterns and Visualization Techniques
A practical guide to querying, filtering, and visualizing logs in Kibana, built for speed, scale, and real-world debugging workflows.
Jaeger Metrics: Internal Operations and Service Performance Monitoring
Understand Jaeger metrics for internal health and service performance. Learn how to set up, monitor, and scale tracing with real insights.
Optimize LangChain Performance with Trace Analytics
Analyze trace data to spot slow chains, high token usage, and memory issues in LangChain apps.
How to Get Grafana Iframe Embedding Right
Know how to securely embed Grafana dashboards using iframes, covering auth, config, performance, and monitoring with Last9.
Elasticsearch with Python: A Detailed Guide to Search and Analytics
Know how to use Elasticsearch with Python for indexing, searching, and analyzing data, complete with code, tips, and integration examples.
What is Log Loss and Cross-Entropy
Log loss and cross-entropy are core loss functions for classification tasks, measuring how well predicted probabilities match actual labels.