terraform-kubestack VS prometheus

I've recently released a major update for Kubestack, the Terraform framework for Kubernetes platform engineering teams. This update moves all functionality previously provided by Kubestack Cloud into the kbst CLI.

We've got some overlap on the stack part. But I am more focused on the infra side of platform engineering (including bootstrapping clusters), seems for you it's more app dependencies. Check https://www.kubestack.com and ping me if you're interested in chatting.

With Kubestack, the open-source Terraform framework I maintain, I'm on a mission to provide the best developer experience for teams working with Terraform and Kubernetes. And unified provisioning of all platform components, from cluster infrastructure to cluster services, is something I consider crucial in my relentless pursuit of said developer experience.

kops - Production Grade K8s Installation, Upgrades, and Management silver-surfer - Check ApiVersion compatibility and provide Migration path for Kubernetes objects when upgrading Kubernetes to latest versions Kube-ops-view - Kubernetes Operational View - read-only system dashboard for multiple K8s clusters kubeprompt - Kubernetes prompt info Metalk8s - An opinionated Kubernetes distribution with a focus on long-term on-prem deployments kind - Kubernetes IN Docker - local clusters for testing Kubernetes Clusterman - Cluster Autoscaler for Kubernetes and Mesos Cert-manager - Automatically provision and manage TLS certificates Goldilocks - Get your resource requests "Just Right" katafygio - Dump, or continuously backup Kubernetes objets as yaml files in git Rancher - Complete container management platform Sealed Secrets - A Kubernetes controller and tool for one-way encrypted Secrets OpenKruise/Kruise - Automate application workloads management on Kubernetes https://openkruise.io kubectl snapshot - Take Cluster Snapshots kapp - simple deployment tool focused on the concept of "Kubernetes application" — a set of resources with the same label https://get-kapp.io keda - Event-driven autoscaler for Kubernetes Octant - To better understand the complexity of Kubernetes clusters Portainer - Portainer inside a Kubernetes environment Gardener - Deliver fully-managed clusters at scale everywhere with your own Kubernetes-as-a-Service Kubed - Kubernetes Cluster Operator Daemon Kubestack - Kubestack is the free and open-source GitOps framework to codify your custom platform stack using Terraform.

In this post I hope to provide a few reasons why frameworks make sense for infrastructure as code, Having tried out Kubestack this got me thinking, Should more of these frameworks exist? And do they provide the same value as a traditional web framework like Flask, Express.js, or Ruby on Rails. Now you might be thinking don't tools like Terraform, Ansible, Chef already exists?

Unsurprisingly, my biased proposal is to use Kubestack to provision the GKE and EKS clusters leveraging the Kubestack framework's unified GKE and EKS modules, and to write a custom module to connect the resulting clusters to Anthos. The bespoke module would integrate the IAM, Anthos and Kubernetes resources required fully into the Terraform state and lifecycle instead of calling kubectl and gcloud like the official Google modules do.

Really cool project. I'll put it on the list of things to integrate with my project Kubestack https://github.com/kbst/terraform-kubestack

WriteRequest::timeseries is a vector (https://github.com/prometheus/prometheus/blob/main/prompb/re...) and

Developers widely use Prometheus as a system for operational monitoring and alerting for their projects. Here is a list of tools for monitoring frontend services with Prometheus.

Just to give an example of the power of Go for CLI builds, you may have already used or at least heard of Docker, Kubernetes, Prometheus, Terraform, but what do they all have in common? They all have a large part of their usability via CLI and are developed in Go 🐿.

Distributed system administrators need mechanisms and tools for monitoring individual nodes in order to analyze the system and promptly detect anomalies. Developers also need effective mechanisms for analyzing, diagnosing issues, and identifying bugs in protocol implementations. Logging, tracing, and collecting metrics are common observability techniques to allow monitoring and obtaining diagnostic information from the system; most of the explored code bases use these techniques. OpenTelemetry and Prometheus are popular open-source monitoring solutions, which are used in many of the explored code bases.

Setting up monitoring for a system, especially one involving GRPC communication, provides crucial visibility into its operations. In this guide, we walked through the steps to instrument both a GRPC server and client with Prometheus metrics, exposed those metrics via an HTTP endpoint, and visualized them using Grafana. The Docker-Compose setup simplified the deployment of both Prometheus and Grafana, ensuring a streamlined process.

Alerting and Notification: Select a tool with flexible alerting mechanisms to proactively detect anomalies or deviations from defined thresholds. Consider asking questions like "Does this tool offer customizable alerting options and support notification channels that suit our team's communication preferences?" A tool like Prometheus provides robust alerting capabilities.

Prometheus

Prometheus is an open-source monitoring and alerting toolkit. It is designed to monitor highly dynamic containerized systems, making it an excellent choice for monitoring Docker containers and Kubernetes clusters.

wget https://github.com/prometheus/prometheus/releases/download/v2.46.0/prometheus-2.46.0.linux-amd64.tar.gz

Prometheus: Open-source monitoring system. Often used together with Grafana.