Thanos Long Storage
Thanos extends Prometheus with long-term storage (months/years instead of weeks). Stores metrics in object storage (S3, GCS), enables global querying across clusters, and provides cost-effective archival. Used by DevOps and SRE teams. Salary band: 105–165k USD. Time to learn: 4–6 weeks. Adjacent to Prometheus, Kubernetes, and observability. Essential for large-scale monitoring.
什麼是 Thanos Long Storage
Thanos is an open-source CNCF project extending Prometheus to enable long-term metrics storage and global querying. It offloads older metrics to object storage (S3, GCS, Azure Blob), allowing retention of years of data at minimal cost. Thanos provides a unified query interface across multiple Prometheus instances and archived data, enabling global monitoring dashboards. Thanos is a common architecture choice for organizations scaling beyond single Prometheus instances. It decouples storage from compute and enables efficient long-term retention.
📋 開始之前
💰 各地區薪資
| 地區 | 初級 | 中級 | 高級 |
|---|---|---|---|
| USA | $85,000 | $130,000 | $180,000 |
| UK | £48,000 | £78,000 | £110,000 |
| EU | €52,000 | €82,000 | €120,000 |
| CANADA | CA$80,000 | CA$120,000 | CA$170,000 |
🎯 使用 Thanos Long Storage 的職業
❓ 常見問題
Why use Thanos instead of keeping Prometheus data longer?
How does Thanos query work?
Can I query data from months ago?
How do I migrate existing Prometheus to Thanos?
Does Thanos add query latency?
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