cilium-cli VS prometheus

resource "tls_private_key" "this" { algorithm = "ECDSA" ecdsa_curve = "P384" } resource "hcloud_ssh_key" "this" { name = var.stack_name public_key = tls_private_key.this.public_key_openssh } resource "hcloud_server" "this" { name = var.stack_name server_type = "cax11" image = "ubuntu-22.04" location = "nbg1" ssh_keys = [ hcloud_ssh_key.this.id, ] public_net { ipv4 = hcloud_primary_ip.this["ipv4"].id ipv6 = hcloud_primary_ip.this["ipv6"].id } user_data = <<-EOF #cloud-config users: - name: ${var.username} groups: users, admin, adm sudo: ALL=(ALL) NOPASSWD:ALL shell: /bin/bash ssh_authorized_keys: - ${tls_private_key.this.public_key_openssh} packages: - certbot package_update: true package_upgrade: true runcmd: - sed -i -e '/^\(#\|\)PermitRootLogin/s/^.*$/PermitRootLogin no/' /etc/ssh/sshd_config - sed -i -e '/^\(#\|\)PasswordAuthentication/s/^.*$/PasswordAuthentication no/' /etc/ssh/sshd_config - sed -i '$a AllowUsers ${var.username}' /etc/ssh/sshd_config - | curl https://get.k3s.io | \ INSTALL_K3S_VERSION="v1.29.3+k3s1" \ INSTALL_K3S_EXEC="--disable traefik --kube-apiserver-arg=service-account-jwks-uri=https://${cloudflare_record.this.name}/openid/v1/jwks --kube-apiserver-arg=service-account-issuer=https://${cloudflare_record.this.name} --disable-network-policy --flannel-backend none --write-kubeconfig /home/${var.username}/.kube/config --secrets-encryption" \ sh - - chown -R ${var.username}:${var.username} /home/${var.username}/.kube/ - | CILIUM_CLI_VERSION=v0.16.4 CLI_ARCH=arm64 curl -L --fail --remote-name-all https://github.com/cilium/cilium-cli/releases/download/$CILIUM_CLI_VERSION/cilium-linux-$CLI_ARCH.tar.gz{,.sha256sum} sha256sum --check cilium-linux-$CLI_ARCH.tar.gz.sha256sum sudo tar xzvfC cilium-linux-$CLI_ARCH.tar.gz /usr/local/bin - kubectl completion bash | tee /etc/bash_completion.d/kubectl - k3s completion bash | tee /etc/bash_completion.d/k3s - | cat << 'EOF2' >> /home/${var.username}/.bashrc alias k=kubectl complete -F __start_kubectl k EOF2 - reboot EOF }

network plugin to be used, based on the documentation. (Project Calico ,Flannel, Cilium )

Isovalent makes an enterprise version of Cilium, an open source tool that uses eBPF to provide security and observability for cloud native environments. Liz gave a great talk at KubeCon Los Angeles about eBPF that I highly recommend. My reaction to her talk was that I wished I had Cilium years ago to troubleshoot some difficult incidents. When I first heard about eBPF I had thought of it more from the observability standpoint, but Cilium also provides a CNI plugin, transparent encryption, logs for security audits, and much more.

Pixie is one of a handful of observability tools that offer eBPF or kernel-level observability. Other well-known tools are Cilium and CVF.

A lot of projects are currently heavily focused on K8S (like Cilium - ebpf service mesh).

Using a container network interface (Cilium) and service mesh (Istio) on top of your K8s infrastructure to more easily manage your distributed applications.

Isovalent | Multiple roles | Mountain View (US), Zürich (CH), or Remote

We're the company behind the open source Cilium project (https://cilium.io) (11K stars on GitHub) providing eBPF-based networking, observability, and security for container workloads and clusters.

We have an amazing and in-demand product using revolutionary technology and are looking for top talent to help us build and explore all of its possibilities.

We're remote-first, mainly in the EU and US timezones.

If you're interested please apply through our careers site https://isovalent.com/careers and mention Hacker News in your application.

Keywords for searchers: open source, Go/Golang, eBPF, C, C++, Kubernetes, networking, OpenShift, Linux kernel, performance, CI, SRE, technical writing, marketing, community advocate

network plugin to be used, based on the documentation. (Project Calico ,Flannel, Cilium )

It's like Prometheus, but for logs. Okay it's not really to do with the Norse or Greek gods, instead Loki is a horizontally-scalable, highly-available, multi-tenant log aggregation system inspired by the open source project Prometheus. Built by Grafana Labs, Loki is designed for ease of use. Instead of indexing the contents of the logs, Loki provides a set of labels for each log stream. The latest update includes query acceleration with Bloom filters, native OTel support, Helm charts, and more. Check out the changelog for all the major changes and deprecations.

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