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docs: fix typos in main README.md (#6913)
### Main fixes applied: 1. **Line 5**: Fixed "long term storage" → "long-term storage" (consistency with hyphenation) 2. **Line 12**: Fixed "Long term storage" → "Long-term storage" (consistency with hyphenation) 3. **Line 126**: Fixed "the AMP" → "AMP" (removed unnecessary article - "the" before abbreviation when referring to the service directly) 4. **Line 126**: Fixed "managed monitoring for your containers" → "managed monitoring service for your containers" (added missing word "service" for clarity) ### Minor grammar improvements: - **Hyphenation consistency**: Made sure "long-term" is consistently hyphenated throughout - **Article usage**: Corrected the use of "the" before abbreviations where it wasn't needed - **Completeness**: Added missing words to make sentences grammatically complete The document now has consistent terminology, proper grammar, and professional language throughout. All the technical content, links, and formatting remain intact while the language is now more polished and consistent. Signed-off-by: Charlie Le <[email protected]>
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README.md

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# Cortex
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Cortex is a horizontally scalable, highly available, multi-tenant, long term storage solution for [Prometheus](https://prometheus.io) and [OpenTelemetry Metrics](https://opentelemetry.io/docs/specs/otel/metrics/)
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Cortex is a horizontally scalable, highly available, multi-tenant, long-term storage solution for [Prometheus](https://prometheus.io) and [OpenTelemetry Metrics](https://opentelemetry.io/docs/specs/otel/metrics/).
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## Features
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- **Horizontally scalable:** Cortex can run across multiple machines in a cluster, exceeding the throughput and storage of a single machine.
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- **Highly available:** When run in a cluster, Cortex can replicate data between machines.
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- **Multi-tenant:** Cortex can isolate data and queries from multiple different independent Prometheus sources in a single cluster.
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- **Long term storage:** Cortex supports S3, GCS, Swift and Microsoft Azure for long term storage of metric data.
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- **Long-term storage:** Cortex supports S3, GCS, Swift and Microsoft Azure for long-term storage of metric data.
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## Documentation
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- Sep 2020 KubeCon talk "Scaling Prometheus: How We Got Some Thanos Into Cortex" ([video](https://www.youtube.com/watch?v=Z5OJzRogAS4), [slides](https://static.sched.com/hosted_files/kccnceu20/ec/2020-08%20-%20KubeCon%20EU%20-%20Cortex%20blocks%20storage.pdf))
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- Jul 2020 PromCon talk "Sharing is Caring: Leveraging Open Source to Improve Cortex & Thanos" ([video](https://www.youtube.com/watch?v=2oTLouUvsac), [slides](https://docs.google.com/presentation/d/1OuKYD7-k9Grb7unppYycdmVGWN0Bo0UwdJRySOoPdpg/edit))
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- Nov 2019 KubeCon talks "[Cortex 101: Horizontally Scalable Long Term Storage for Prometheus][kubecon-cortex-101]" ([video][kubecon-cortex-101-video], [slides][kubecon-cortex-101-slides]), "[Configuring Cortex for Max
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Performance][kubecon-cortex-201]" ([video][kubecon-cortex-201-video], [slides][kubecon-cortex-201-slides], [write up][kubecon-cortex-201-writeup]) and "[Blazin Fast PromQL][kubecon-blazin]" ([slides][kubecon-blazin-slides], [video][kubecon-blazin-video], [write up][kubecon-blazin-writeup])
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Performance][kubecon-cortex-201]" ([video][kubecon-cortex-201-video], [slides][kubecon-cortex-201-slides], [write up][kubecon-cortex-201-writeup]) and "[Blazin' Fast PromQL][kubecon-blazin]" ([slides][kubecon-blazin-slides], [video][kubecon-blazin-video], [write up][kubecon-blazin-writeup])
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- Nov 2019 PromCon talk "[Two Households, Both Alike in Dignity: Cortex and Thanos][promcon-two-households]" ([video][promcon-two-households-video], [slides][promcon-two-households-slides], [write up][promcon-two-households-writeup])
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- May 2019 KubeCon talks; "[Cortex: Intro][kubecon-cortex-intro]" ([video][kubecon-cortex-intro-video], [slides][kubecon-cortex-intro-slides], [blog post][kubecon-cortex-intro-blog]) and "[Cortex: Deep Dive][kubecon-cortex-deepdive]" ([video][kubecon-cortex-deepdive-video], [slides][kubecon-cortex-deepdive-slides])
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- Nov 2018 CloudNative London meetup talk; "Cortex: Horizontally Scalable, Highly Available Prometheus" ([slides][cloudnative-london-2018-slides])
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- Aug 2018 PromCon panel; "[Prometheus Long-Term Storage Approaches][promcon-2018-panel]" ([video][promcon-2018-video])
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- Dec 2018 KubeCon talk; "[Cortex: Infinitely Scalable Prometheus][kubecon-2018-talk]" ([video][kubecon-2018-video], [slides][kubecon-2018-slides])
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- Aug 2017 PromCon talk; "[Cortex: Prometheus as a Service, One Year On][promcon-2017-talk]" ([videos][promcon-2017-video], [slides][promcon-2017-slides], write up [part 1][promcon-2017-writeup-1], [part 2][promcon-2017-writeup-2], [part 3][promcon-2017-writeup-3])
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- Aug 2017 PromCon talk; "[Cortex: Prometheus as a Service, One Year On][promcon-2017-talk]" ([video][promcon-2017-video], [slides][promcon-2017-slides], write up [part 1][promcon-2017-writeup-1], [part 2][promcon-2017-writeup-2], [part 3][promcon-2017-writeup-3])
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- Jun 2017 Prometheus London meetup talk; "Cortex: open-source, horizontally-scalable, distributed Prometheus" ([video][prometheus-london-2017-video])
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- Dec 2016 KubeCon talk; "Weave Cortex: Multi-tenant, horizontally scalable Prometheus as a Service" ([video][kubecon-2016-video], [slides][kubecon-2016-slides])
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- Aug 2016 PromCon talk; "Project Frankenstein: Multitenant, Scale-Out Prometheus": ([video][promcon-2016-video], [slides][promcon-2016-slides])
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### Blog Posts
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- Dec 2020 blog post "[How AWS and Grafana Labs are scaling Cortex for the cloud](https://aws.amazon.com/blogs/opensource/how-aws-and-grafana-labs-are-scaling-cortex-for-the-cloud/)"
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- Oct 2020 blog post "[How to switch Cortex from chunks to blocks storage (and why you wont look back)](https://grafana.com/blog/2020/10/19/how-to-switch-cortex-from-chunks-to-blocks-storage-and-why-you-wont-look-back/)"
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- Oct 2020 blog post "[How to switch Cortex from chunks to blocks storage (and why you won't look back)](https://grafana.com/blog/2020/10/19/how-to-switch-cortex-from-chunks-to-blocks-storage-and-why-you-wont-look-back/)"
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- Oct 2020 blog post "[Now GA: Cortex blocks storage for running Prometheus at scale with reduced operational complexity](https://grafana.com/blog/2020/10/06/now-ga-cortex-blocks-storage-for-running-prometheus-at-scale-with-reduced-operational-complexity/)"
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- Sep 2020 blog post "[A Tale of Tail Latencies](https://www.weave.works/blog/a-tale-of-tail-latencies)"
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- Aug 2020 blog post "[Scaling Prometheus: How were pushing Cortex blocks storage to its limit and beyond](https://grafana.com/blog/2020/08/12/scaling-prometheus-how-were-pushing-cortex-blocks-storage-to-its-limit-and-beyond/)"
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- Aug 2020 blog post "[Scaling Prometheus: How we're pushing Cortex blocks storage to its limit and beyond](https://grafana.com/blog/2020/08/12/scaling-prometheus-how-were-pushing-cortex-blocks-storage-to-its-limit-and-beyond/)"
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- Jul 2020 blog post "[How blocks storage in Cortex reduces operational complexity for running Prometheus at massive scale](https://grafana.com/blog/2020/07/29/how-blocks-storage-in-cortex-reduces-operational-complexity-for-running-prometheus-at-massive-scale/)"
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- Mar 2020 blog post "[Cortex: Zone Aware Replication](https://kenhaines.net/cortex-zone-aware-replication/)"
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- Mar 2020 blog post "[How we're using gossip to improve Cortex and Loki availability](https://grafana.com/blog/2020/03/25/how-were-using-gossip-to-improve-cortex-and-loki-availability/)"
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### Amazon Managed Service for Prometheus (AMP)
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[Amazon Managed Service for Prometheus (AMP)](https://aws.amazon.com/prometheus/) is a Prometheus-compatible monitoring service that makes it easy to monitor containerized applications at scale. It is a highly available, secure, and managed monitoring for your containers. Get started [here](https://console.aws.amazon.com/prometheus/home). To learn more about the AMP, reference our [documentation](https://docs.aws.amazon.com/prometheus/latest/userguide/what-is-Amazon-Managed-Service-Prometheus.html) and [Getting Started with AMP blog](https://aws.amazon.com/blogs/mt/getting-started-amazon-managed-service-for-prometheus/).
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[Amazon Managed Service for Prometheus (AMP)](https://aws.amazon.com/prometheus/) is a Prometheus-compatible monitoring service that makes it easy to monitor containerized applications at scale. It is a highly available, secure, and managed monitoring service for your containers. Get started [here](https://console.aws.amazon.com/prometheus/home). To learn more about AMP, reference our [documentation](https://docs.aws.amazon.com/prometheus/latest/userguide/what-is-Amazon-Managed-Service-Prometheus.html) and [Getting Started with AMP blog](https://aws.amazon.com/blogs/mt/getting-started-amazon-managed-service-for-prometheus/).
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## Emeritus Maintainers
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