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Prometheus at Scale : Thanos / Cortex / etc.
An Anant Corporation Story.
How Prometheus scales in global business platforms
Prometheus (recap)
● Multidimensional data model over time via metric
name, and key/value pairs
● PromQL, now standard query language
● Time series collection via pull or push (via gateway)
● Dynamic service discovery or via static configuration
● Separation of concerns in graphing / dashboarding
Prometheus (on Kubernetes)
Prometheus at Scale
● Cortex
● Thanos
● M3DB (from Uber)
● Victoria Metrics
● Vulcan (from Digital Ocean)
https://sysdig.com/blog/challenges-scale-prometheus/
Prometheus at Scale Needs
● Global View - Queries over multiple promethei
● Multi-Replica / High Availability - No downtime, no data loss
● Long Term Storage - Store data in cold storage for future
● Global Scale - Millions of containers / pods / vms
● Community Support - Many people using it
● Community Knowledge Online - Many people documenting
Cortex
● Global View - Centralized data
● Multi-Replica / High Availability - Dedupe at write
● Long Term Storage - NoSQL Index + Chunks
○ Index (Cassandra / DynamoDB/ BigTable)
○ Chunk (Cassandra / DynamoDB/ BigTable/S3 /
GCS/Azure)
Cortex
●
Cortex
●
Cortex
●
Thanos
● Global View - Federated Data / Fan out queries
● Multi-Replica / High Availability - Query time dedupe
● Long Term Storage - TSDB blocks in object store
○ GCS
○ S3 Compatible (Ceph/ Minio
○ Azure Blob Storage
○ ….
Thanos
Thanos - Basic Architecture
●
Thanos Architecture
Thanos
●
Thanos
●
Thanos / Cortex Together
Resources
● Thanos - Scalable Prometheus
(https://www.infoq.com/news/2018/06/thanos-scalable-prometheus )
● Cortex Architecture (https://cortexmetrics.io/docs/architecture/)
● Thanos (https://thanos.io/)
● Challenges of Prometheus at Scale (https://sysdig.com/blog/challenges-scale-prometheus/)
● Tutorial : Prometheus at Scale
(https://epsagon.com/tools/thanos-tutorial-prometheus-at-scale/)
● Github / Cortex (https://github.com/cortexproject/cortex)
Strategy: Scalable Fast Data
Architecture: Cassandra, Spark, Kafka
Engineering: Node, Python, JVM,CLR
Operations: Cloud, Container
Rescue: Downtime!! I need help.
 www.anant.us | solutions@anant.us | (855) 262-6826
3 Washington Circle, NW | Suite 301 | Washington, DC 20037

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Data Engineer's Lunch #23: Thanos/Cortex

  • 1. Version 1.0 Prometheus at Scale : Thanos / Cortex / etc. An Anant Corporation Story. How Prometheus scales in global business platforms
  • 2. Prometheus (recap) ● Multidimensional data model over time via metric name, and key/value pairs ● PromQL, now standard query language ● Time series collection via pull or push (via gateway) ● Dynamic service discovery or via static configuration ● Separation of concerns in graphing / dashboarding
  • 4. Prometheus at Scale ● Cortex ● Thanos ● M3DB (from Uber) ● Victoria Metrics ● Vulcan (from Digital Ocean) https://sysdig.com/blog/challenges-scale-prometheus/
  • 5. Prometheus at Scale Needs ● Global View - Queries over multiple promethei ● Multi-Replica / High Availability - No downtime, no data loss ● Long Term Storage - Store data in cold storage for future ● Global Scale - Millions of containers / pods / vms ● Community Support - Many people using it ● Community Knowledge Online - Many people documenting
  • 6. Cortex ● Global View - Centralized data ● Multi-Replica / High Availability - Dedupe at write ● Long Term Storage - NoSQL Index + Chunks ○ Index (Cassandra / DynamoDB/ BigTable) ○ Chunk (Cassandra / DynamoDB/ BigTable/S3 / GCS/Azure)
  • 10. Thanos ● Global View - Federated Data / Fan out queries ● Multi-Replica / High Availability - Query time dedupe ● Long Term Storage - TSDB blocks in object store ○ GCS ○ S3 Compatible (Ceph/ Minio ○ Azure Blob Storage ○ ….
  • 12. Thanos - Basic Architecture ●
  • 16. Thanos / Cortex Together
  • 17. Resources ● Thanos - Scalable Prometheus (https://www.infoq.com/news/2018/06/thanos-scalable-prometheus ) ● Cortex Architecture (https://cortexmetrics.io/docs/architecture/) ● Thanos (https://thanos.io/) ● Challenges of Prometheus at Scale (https://sysdig.com/blog/challenges-scale-prometheus/) ● Tutorial : Prometheus at Scale (https://epsagon.com/tools/thanos-tutorial-prometheus-at-scale/) ● Github / Cortex (https://github.com/cortexproject/cortex)
  • 18. Strategy: Scalable Fast Data Architecture: Cassandra, Spark, Kafka Engineering: Node, Python, JVM,CLR Operations: Cloud, Container Rescue: Downtime!! I need help.  www.anant.us | solutions@anant.us | (855) 262-6826 3 Washington Circle, NW | Suite 301 | Washington, DC 20037