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Inaki Fernandez
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@@ -146,17 +146,15 @@ OpenShift Cluster Monitoring components cannot be extended since they are read o
#### Scalability, High Availability (HA) and Long-Term Storage Solutions
* [**Prometheus TSDB**](https://prometheus.io/docs/prometheus/latest/storage/)
* [**Cortex**](https://cortexmetrics.io/)
* provides horizontally scalable, highly available, multi-tenant, long term storage for Prometheus. Cortex allows for storing time series data in a key-value store like Cassandra, AWS DynamoDB, or Google BigTable. It offers a Prometheus compatible query API, and you can push metrics into a write endpoint. This makes it best suited for cloud environments and multi-tenant scenarios like service providers building hosted and managed platforms.
* [**Cortex**:](https://cortexmetrics.io/) Provides horizontally scalable, highly available, multi-tenant, long term storage for Prometheus. Cortex allows for storing time series data in a key-value store like Cassandra, AWS DynamoDB, or Google BigTable. It offers a Prometheus compatible query API, and you can push metrics into a write endpoint. This makes it best suited for cloud environments and multi-tenant scenarios like service providers building hosted and managed platforms.
* [Weave Cortex SaaS (Hosted Prometheus - Public Cloud)](https://www.weave.works/features/prometheus-monitoring/)
* [**Thanos**:](https://thanos.io/) Open source, **highly available Prometheus setup with long term storage capabilities**.
* Thanos stores time series data in an object store like AWS S3, Google Cloud Storage, etc. Thanos pushes metrics through a side-car container from each Prometheus server through the gRPC store API to the query service in order to provide a global query view.
* [github.com/ruanbekker: Thanos Cluster Setup](https://github.com/ruanbekker/thanos-cluster-setup) How to deploy a HA Prometheus setup with Unlimited Data Retention Capabilities on aws cloud S3 with Thanos Metrics.
* [**InfluxDB**:](https://www.influxdata.com/)
* [open-source time series database (TSDB)](https://en.wikipedia.org/wiki/Time_series_database) developed by InfluxData. It is written in [Go](https://en.wikipedia.org/wiki/Go_(programming_language)) and optimized for fast, high-availability storage and retrieval of [time series](https://en.wikipedia.org/wiki/Time_series) data in fields such as operations monitoring, application metrics, [Internet of Things](https://en.wikipedia.org/wiki/Internet_of_Things) sensor data, and real-time analytics. It also has support for processing data from [Graphite](https://en.wikipedia.org/wiki/Graphite_(software)).
* [**InfluxDB**:](https://www.influxdata.com/) An [open-source time series database (TSDB)](https://en.wikipedia.org/wiki/Time_series_database) developed by InfluxData. It is written in [Go](https://en.wikipedia.org/wiki/Go_(programming_language)) and optimized for fast, high-availability storage and retrieval of [time series](https://en.wikipedia.org/wiki/Time_series) data in fields such as operations monitoring, application metrics, [Internet of Things](https://en.wikipedia.org/wiki/Internet_of_Things) sensor data, and real-time analytics. It also has support for processing data from [Graphite](https://en.wikipedia.org/wiki/Graphite_(software)).
* [https://en.wikipedia.org/wiki/InfluxDB](https://en.wikipedia.org/wiki/MIT_License)
* [https://en.wikipedia.org/wiki/MIT_License](https://en.wikipedia.org/wiki/MIT_License)
* [**M3**](https://www.m3db.io/) is an open source, large-scale metrics platform developed by Uber. It has its own time series database, M3DB. Like Thanos, M3 also uses a side-car container to push the metrics to the DB.
* [**M3**:](https://www.m3db.io/) An open source, large-scale metrics platform developed by Uber. It has its own time series database, M3DB. Like Thanos, M3 also uses a side-car container to push the metrics to the DB.
In addition, it supports metric deduplication and merging, and provides distributed query support.
Although it's exciting to see attempts to address the challenges of running Prometheus at scale, these are very young projects that are not widely used yet.