EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Lobsters·Sep 7·5 min read
The Life of a Metric
TL;DR
Metrics in software applications have a lifecycle that includes creation, storage, querying, and eventual deletion. This post explores the journey of a single HTTP request counter metric using VictoriaMetrics as the backend.
✦ Why It Matters
Start tracking your application's metrics to gain insights into performance and usage patterns.
Key Takeaways
- Understand the lifecycle of metrics from creation to deletion.
- Use VictoriaMetrics for efficient metric storage and querying.
- Manage metric cardinality to avoid performance degradation.
- Export metrics periodically to optimize data handling.
How It Works
Metrics are created in memory and periodically exported to VictoriaMetrics, where they are transformed into a compact binary format. Each metric is identified by a unique combination of its name and labels, and the system uses a unique identifier to manage these metrics efficiently.
The ingestion process is optimized for speed, allowing for high throughput of data samples.