traefik VS Grafana

Treafik as Reverse proxy

apparently "traffic" https://github.com/traefik/traefik/issues/795

Pronounced "traffic", Traefik is a modern HTTP reverse proxy and load balancer aimed at making deploying microservices easier. It integrates with your existing infrastructure components such as Docker, Kubernetes, and others, and configures itself automatically and dynamically. The latest version adds lots of new options and enhancements such as adding healthcheck options, support for custom headers, and more. Read the migration guide on how to update to the latest version which is now required due to breaking changes.

> I think etcd is basically a k8s only project now

I hate etcd with the best of them, but etcd is used in a lot more places than just kubernetes:

https://github.com/apache/apisix/blob/master/docs/en/latest/...

https://github.com/traefik/traefik#:~:text=Etcd,

https://github.com/zalando/patroni#patroni-a-template-for-po...

https://github.com/purpleidea/mgmt/tree/0.0.26/etcd (this one shows up on HN quite a bit)

https://github.com/sorintlab/stolon#features

It's actually one of the major reasons I wouldn't touch those projects

However, it's very unlikely that .NET developers will directly expose their Kestrel-based web apps to the internet. Typically, we use other popular web servers like Nginx, Traefik, and Caddy to act as a reverse-proxy in front of Kestrel for various reasons:

Not as good though. Case in point: https://github.com/traefik/traefik/issues/5472#issuecomment-... (that's just from this morning)

I'm speak objectively here. Of course, any built-in auto HTTPS that works (more or less) is better than none. Traefik uses an ACME library that was originally written for Caddy. After the original author left that project, Traefik team started maintaining it. Caddy's users' requirements exceeded what the library was capable of, but unfortunately there was friction in getting it to achieve our requirements. So I ended up writing a new ACME client library in Go and, together with upgrades in CertMagic (Caddy's auto-TLS lib), Caddy has the more flexible, robust, and capable auto-HTTPS functionality.

That is to say, not all auto-HTTPS functionalities are the same.

We'll use Traefik, an open source cloud native gateway that can plug into a Kubernetes cluster. It has the concept of "middleware" that can process API requests before passing them through to a backend. We can configuring a rate limit for all of our API endpoints by matching on the request path:

I did the same question here and here

Today, I’d like to touch on open-source intelligence, or OSINT. According to Wikipedia, open-source intelligence is the collection and analysis of data gathered from open sources (covert sources and publicly available information) to produce actionable intelligence. As you can infer from the definition, OSINT is a vast topic, and the best way to understand such broad topics is through concrete, narrow-scoped practical examples. In this blog post, I’d like to share one of the approaches on how OSINT techniques can be applied to bug bounty hunting for products with publicly hosted code on GitHub, using the awesome open-source project Grafana as an example. Read on!

Speaking of metrics and Grafana, this popular project gets a major update too. As shown in the image above, Grafana is a data visualisation and composable observability platform. With Grafana you can query, visualise, alert on, and understand your metrics wherever that data may sit. The latest update adds lots of new features and enhancements such as a slightly refreshed UI, reducing the set of fields that could trigger an alert state change, the removal of Loki's API restrictions on resource calls, and lots more. Check out all the changes in the changelog.

Implement health checks and monitoring to ensure the availability and performance of your microservices. Use tools like Prometheus, Grafana, or NestJS built-in health checks.

In this article, we’ll look at one of the ways to monitor the InterSystems IRIS data platform (IRIS) deployed in the Google Kubernetes Engine (GKE). The GKE integrates easily with Cloud Monitoring, simplifying our task. As a bonus, the article shows how to display metrics from Cloud Monitoring in Grafana.

Kubernetes Documentation: https://kubernetes.io/docs/home/ Kubernetes Tutorials: https://kubernetes.io/docs/tutorials/ Kubernetes Community: https://kubernetes.io/community/ Prometheus: https://prometheus.io/ Grafana: https://grafana.com/ Elasticsearch: https://www.elastic.co/elasticsearch/ Kibana: https://www.elastic.co/kibana Helm: https://helm.sh/ Prometheus Helm Chart: https://github.com/prometheus-community/helm-charts/tree/main/prometheus Grafana Helm Chart: https://github.com/grafana/helm-charts/tree/main/grafana Elasticsearch Helm Chart: https://github.com/elastic/helm-charts/tree/main/elasticsearch Kibana Helm Chart: https://github.com/elastic/helm-charts/tree/main/kibana RBAC: https://kubernetes.io/docs/reference/access-authn-authz/rbac/ Network Policies: https://kubernetes.io/docs/concepts/services-networking/network-policies/ StatefulSets: https://kubernetes.io/docs/concepts/workloads/controllers/statefulset/ DaemonSets: https://kubernetes.io/docs/concepts/workloads/controllers/daemonset/ Taints and Tolerations: https://kubernetes.io/docs/concepts/scheduling-eviction/taint-and-toleration/ Custom Resource Definitions (CRDs): https://kubernetes.io/docs/concepts/extend-kubernetes/api-extension/custom-resources/ Operators: https://kubernetes.io/docs/concepts/extend-kubernetes/operator/

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.

To help us visualize these scenarios, we'll build a Grafana Dashboard so we can follow along.

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.