argocd-image-updater
Grafana
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argocd-image-updater | Grafana | |
---|---|---|
21 | 378 | |
1,104 | 60,196 | |
4.8% | 1.3% | |
6.3 | 10.0 | |
5 days ago | 6 days ago | |
Go | TypeScript | |
Apache License 2.0 | 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.
argocd-image-updater
- Helm or Kustomize for my situation?
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How do you produce your images for argcd deployment
Use the ArgoCD image updater
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What tool are you using to edit yaml graphically?
We already have software agents in GitOps ecosystem that modify the state in git. Ie, the image updater in ArgoCD. It watches the docker registry. When it sees a new image, it updates git on a user's behalf.
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Is there a CD solution that can be (painlessly) fully automated between stages?
If you are using ArgoCD you might be able to use this: https://argocd-image-updater.readthedocs.io/en/stable/
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How to keep track of 3d party applications helm chart on K8S?
I just found this in my travels, I have only gone so far as reading the introduction but seems to be a fit? https://github.com/argoproj-labs/argocd-image-updater
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Is it possible that k8s updates image version on pod relaunch?
I've used Keel and more recently ArgoCD Image Updater (Using ArgoCD to manage deployments).
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What do you use to update image tags?
https://argocd-image-updater.readthedocs.io/en/stable/ maybe?
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Quite happy with my first 6 hour journey with ArgoCD
Use the image updater
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How do you handle change management for a self-hosted CI/CD solution?
To answer your question you should promote docker images between environments. There are many ways to do this. Check https://argocd-image-updater.readthedocs.io/en/stable/ if you haven't seen it already.
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What are you using for the CI part of GitOps?
For ArgoCD there’s argocd-image-updated, https://argocd-image-updater.readthedocs.io/en/stable/
Grafana
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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:
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Root Cause Chronicles: Quivering Queue
Robin switched to the Grafana dashboard tab, and sure enough, the 5xx volume on web service was rising. It had not hit the critical alert thresholds yet, but customers had already started noticing.
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Teach Yourself Programming in Ten Years (1998)
I completely agree but do feel it needs qualifying. The problems beginners run into aren't usually the same as the problems experienced devs run into when adopting a language new to them, but where I see the two overlap I know something is a serious hazard in a language.
Java as a first language: won't like the boilerplate but won't have any point of comparison anyway, will get a few NPEs, might use threads and get data races but won't experience memory unsafety.
Go as a first language: much less boilerplate, but will still get nil panics, will be encouraged to use goroutines because every tutorial shows off how "easy" they are, will get data races with full blown memory unsafety immediately.
Rust as a first language: `None` // no examples found
I think Go as a beginner language would be better if people were discouraged from using goroutines instead of actively encouraged (the myth of "CSP solves everything"), otherwise I think it needs much better tooling to save people from walking off a cliff with their goroutines. And no, -race clearly isn't it, especially not for a beginner.
And in one respect I've found Go more of a hazard for experienced devs than beginners: the function signature of append() gives you the intuition of a functional programming append that never modifies the original slice. This has literally resulted in CVEs[1] even by experienced devs, especially combined with goroutines. Beginners won't have an intuition for this and will hopefully check the documentation instead of assuming.
[1] https://github.com/grafana/grafana/security/advisories/GHSA-...
What are some alternatives?
keel - Kubernetes Operator to automate Helm, DaemonSet, StatefulSet & Deployment updates
Thingsboard - Open-source IoT Platform - Device management, data collection, processing and visualization.
Pulumi - Pulumi - Infrastructure as Code in any programming language. Build infrastructure intuitively on any cloud using familiar languages 🚀
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
helmfile - Deploy Kubernetes Helm Charts
Heimdall - An Application dashboard and launcher
updatecli - A Declarative Dependency Management tool
Wazuh - Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
trivy - Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more
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.
applicationset - The ApplicationSet controller manages multiple Argo CD Applications as a single ApplicationSet unit, supporting deployments to large numbers of clusters, deployments of large monorepos, and enabling secure Application self-service.
uptime-kuma - A fancy self-hosted monitoring tool