mimir
Grafana
mimir | Grafana | |
---|---|---|
36 | 383 | |
3,761 | 60,729 | |
2.1% | 1.2% | |
9.9 | 10.0 | |
about 20 hours ago | 6 days ago | |
Go | TypeScript | |
GNU Affero General Public License v3.0 | GNU Affero General Public License v3.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
mimir
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Monitoring Is a Pain
It consists of 6 separate components to run, plus 4 additional optional components [1]. And I don't even count 5 additional caches [2]. How is that "simple and easy"?
[1] https://grafana.com/docs/mimir/latest/references/architectur...
[2] https://github.com/grafana/mimir/blob/9a52522a05f25d6d6bc2e8...
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Is anyone frustrated with anything about Prometheus?
Yes, but also no. The Prometheus ecosystem already has two FOSS time-series databases that are complementary to Prometheus itself. Thanos and Mimir. Not to mention M3db, developed at Uber, and Cortex, then ancestor of Mimir. There's a bunch of others I won't mention as it would take too long.
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Does anyone have an example of a simple mimir monolith docker compose config?
I used the one in their tutorial.
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NTOP experience?
Grafana Agent can collect and stream data via Prometheus remote write protocol. Then you can either use Prometheus or Mimir. to receive the data at a central location. It depends on how many millions of series you need to collect.
- Prometheus node exporter and cadvisor to send metrics to central prometheus cluster
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Thousandeyes Pricing Model
Long term storage all depends on your needs and sophistication. I use Thanos for our system since it has an extremely flexible scaling system. But there is also Grafana Mimir. They're both similar in that they use Prometheus TSDB format as part of the underlying storage. One nice Thanos advantage is that it does do downsampling in addition to being able to store raw metric data for a long time. It will auto-select downsampled data to make requests faster.
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Time series databases
Grafana Mimir - scalable storage for Prometheus
- Long term Prometheus metric storage
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Best unicorn monitoring system?
Depending on how you want to set things up, you can use Thanos or Mimir to create the single-pane-of-glass view of your data.
- Centralized solution for Prometheus?
Grafana
- Grafana: From Dashboards to Centralized Observability
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Docker Log Observability: Analyzing Container Logs in HashiCorp Nomad with Vector, Loki, and Grafana
Monitoring application logs is a crucial aspect of the software development and deployment lifecycle. In this post, we'll delve into the process of observing logs generated by Docker container applications operating within HashiCorp Nomad. With the aid of Grafana, Vector, and Loki, we'll explore effective strategies for log analysis and visualization, enhancing visibility and troubleshooting capabilities within your Nomad environment.
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Golang: out-of-box backpressure handling with gRPC, proven by a Grafana dashboard
To help us visualize these scenarios, we'll build a Grafana Dashboard so we can follow along.
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Monitoring, Observability, and Telemetry Explained
Visualization and Analysis: Choose a tool with intuitive and customizable dashboards, charts, and visualizations. A question to ask is, "Are the visualization features of this tool user-friendly and adaptable to our team's specific needs?" Tools like Grafana and Kibana provide powerful visualization capabilities.
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4 facets of API monitoring you should implement
Prometheus: Open-source monitoring system. Often used together with Grafana.
- Grafana: Open and composable observability and data visualization platform
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The Mechanics of Silicon Valley Pump and Dump Schemes
Grafana
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Reverse engineering the Grafana API to get the data from a dashboard
Yes I'm aware that Grafana is open source but the method I used to find the API endpoints is far quicker than digging through hundreds of files in a codebase I'm not familiar with.
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Building an Observability Stack with Docker
So, you will add one last container to allow us to visualize this data: Grafana, an open-source analytics and visualization platform that allows us to see traces and metrics simply. You can set Grafana to read data from both Tempo and Prometheus by setting them as datastores with the following grafana.datasource.yaml config file:
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How to collect metrics from node.js applications in PM2 with exporting to Prometheus
In example above, we use 2 additional parameters: code (HTTP response code) and page (page identifier), which provide detailed statistics. For example, you can build such graphs in Grafana:
What are some alternatives?
thanos - Highly available Prometheus setup with long term storage capabilities. A CNCF Incubating project.
Thingsboard - Open-source IoT Platform - Device management, data collection, processing and visualization.
VictoriaMetrics - VictoriaMetrics: fast, cost-effective monitoring solution and time series database
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
cortex - A horizontally scalable, highly available, multi-tenant, long term Prometheus.
Heimdall - An Application dashboard and launcher
m3 - M3 monorepo - Distributed TSDB, Aggregator and Query Engine, Prometheus Sidecar, Graphite Compatible, Metrics Platform
Wazuh - Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
prometheus - The Prometheus monitoring system and time series database.
Thingspeak - ThingSpeak is an open source “Internet of Things” application and API to store and retrieve data from things using HTTP over the Internet or via a Local Area Network. With ThingSpeak, you can create sensor logging applications, location tracking applications, and a social network of things with status updates.
ClickHouse - ClickHouse® is a real-time analytics DBMS
uptime-kuma - A fancy self-hosted monitoring tool