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.
Kí ni 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.
📋 Kí o tó bẹ̀rẹ̀
💰 Owó nípa àgbègbè
| Àgbègbè | Ọ̀dọ̀ | Àrin | Ó Ga |
|---|---|---|---|
| USA | $85k | $130k | $180k |
| UK | £48k | £78k | £110k |
| EU | €52k | €82k | €120k |
| CANADA | C$80k | C$120k | C$170k |
🎓 Àwọn ìjẹ́rìísì
🎯 Àwọn iṣẹ́ tí ń lò Thanos Long Storage
❓ Àwọn ìbéèrè tí a ń béèrè
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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