From 1c4cf6ddd74843be4c222a8f7195e2c2eb8297fd Mon Sep 17 00:00:00 2001 From: Brian Hoffmann Date: Wed, 16 Jun 2021 16:28:23 +0200 Subject: [PATCH] Typos --- radar/2021-01-01/prometheus.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/radar/2021-01-01/prometheus.md b/radar/2021-01-01/prometheus.md index fb70d15..940b870 100644 --- a/radar/2021-01-01/prometheus.md +++ b/radar/2021-01-01/prometheus.md @@ -5,10 +5,10 @@ quadrant: platforms-and-aoe-services --- -[Prometheus](https://prometheus.io) is an open-source monitoring and alerting system. It was the second project within the CNCF which reached the "graduated" status and has since seen a large rate of adoption accross many CNCF projects. It primarily utilizes a pull-based metrics flow through HTTP which allows the easy integration of a variety of application-specific metrics sources. Compared to other monitoring systems it stands out in it's simple, still powerful and fully code-based configuration and the equally powerful service discovery mechanism. +[Prometheus](https://prometheus.io) is an open-source monitoring and alerting system. It was the second project within the CNCF which reached the "graduated" status and has since seen a large rate of adoption across many CNCF projects. It primarily utilizes a pull-based metrics flow through HTTP which allows the easy integration of a variety of application-specific metrics sources. Compared to other monitoring systems it stands out in its simple, still powerful and fully code-based configuration and the equally powerful service discovery mechanism. -Prometheus integrates very well with Grafana which is our tool of choice for dashboard visualization. Through the [Prometheus Operator](https://github.com/prometheus-operator/prometheus-operator) project, the monitoring system can be configured through Kubernetes custom resource definitions. These can be shipped by development teams alongside with their application deployments and allow [sharing responsibility](https://www.aoe.com/techradar/methods-and-patterns/shared-responsibility.html) for monitoring tasks between operations and engineerings teams with a clear interface. +Prometheus integrates very well with Grafana which is our tool of choice for dashboard visualization. Through the [Prometheus Operator](https://github.com/prometheus-operator/prometheus-operator) project, the monitoring system can be configured through Kubernetes custom resource definitions. These can be shipped by development teams alongside with their application deployments and allow [sharing responsibility](https://www.aoe.com/techradar/methods-and-patterns/shared-responsibility.html) for monitoring tasks between operations and engineering teams with a clear interface. -With [Cortex](https://cortexmetrics.io/) and [Thanos](https://thanos.io/) the Prometheus-ecosystem knows two well setteled solutions for high-availibilty of the underlying time series database and with [Amazon Managed Services for Prometheus](https://aws.amazon.com/en/prometheus/) there's also a SaaS-Solution available. +With [Cortex](https://cortexmetrics.io/) and [Thanos](https://thanos.io/) the Prometheus-ecosystem knows two well-settled solutions for high-availability of the underlying time series database and with [Amazon Managed Services for Prometheus](https://aws.amazon.com/en/prometheus/) there's also a SaaS-Solution available. We use Prometheus in nearly every project, it's an essential part of our underlying operations and also well understood by many development teams.