alertmanager VS prometheus

- Alert Manager

You could use prometheus as a monitoring tool, blackbox_exporter to "export" the urls to prometheus, alertmanager for notifications, and grafana for nice gui dashboards (and maybe also notifications).

I found this other example below from this repo https://github.com/prometheus/alertmanager/issues/2559, but it is neither working.

vmalert: executes a list of the given alerting or recording rules against configured data sources. For sending alerting notifications vmalert relies on configured Alertmanager. Recording rules results are persisted via remote write protocol. vmalert is heavily inspired by Prometheus implementation and aims to be compatible with its syntax

Yes, I believe you can do all of what you're looking for without a UI. The alertmanager api has the ability to register receivers as well as to poll for alerts, silence them, etc: https://github.com/prometheus/alertmanager/blob/main/api/v2/openapi.yaml

I found it, unfortunately it doesn't help.

#cloud-config # environment: ${environment} runcmd: # install AWS CLI, neeeded for downloading of configuration files - | apt-get update && apt-get install unzip -y curl -Lo awscli.zip https://awscli.amazonaws.com/awscli-exe-linux-aarch64.zip unzip awscli.zip ./aws/install rm awscli.zip # install prometheus binary - | curl -Lo prometheus.tar.gz https://github.com/prometheus/prometheus/releases/download/v2.33.1/prometheus-2.33.1.linux-arm64.tar.gz tar -xvf prometheus.tar.gz cp ./prometheus-2.33.1.linux-arm64/prometheus /usr/local/bin/prometheus rm -rf ./prometheus-2.33.1.linux-arm64 rm -rf prometheus.tar.gz # install alertmanager binary - | curl -Lo alertmanager.tar.gz https://github.com/prometheus/alertmanager/releases/download/v0.23.0/alertmanager-0.23.0.linux-arm64.tar.gz tar -xvf alertmanager.tar.gz mv ./alertmanager-0.23.0.linux-arm64/alertmanager /usr/local/bin/alertmanager rm -rf alertmanager-0.23.0.linux-arm64 rm alertmanager.tar.gz # vait for EBS volume - | while [ ! -b $(readlink -f /dev/nvme1n1) ]; do echo "waiting for device /dev/nvme1n1" sleep 5 done # format volume blkid $(readlink -f /dev/nvme1n1) || mkfs -t ext4 $(readlink -f /dev/nvme1n1) # create a mount mkdir -p /data if ! grep "/dev/nvme1n1" /etc/fstab; then echo "/dev/nvme1n1 /data ext4 defaults,discard 0 0" >> /etc/fstab fi # mount volume mount /data # enable and start systemd services - | systemctl daemon-reload systemctl enable prepare-prometheus.service && systemctl start prepare-prometheus.service && sleep 10 systemctl enable prometheus.service && systemctl start prometheus.service systemctl enable alertmanager.service && systemctl start alertmanager.service write_files: - path: /usr/local/bin/prepare-prometheus permissions: '0744' content: | #!/bin/sh mkdir -p /etc/prometheus aws s3 cp s3://${s3_bucket}/prometheus.yaml /etc/prometheus/prometheus.yaml aws s3 cp s3://${s3_bucket}/alertmanager.yaml /etc/prometheus/alertmanager.yaml aws s3 cp s3://${s3_bucket}/prometheus.rules.yaml /etc/prometheus/prometheus.rules.yaml curl -X POST http://localhost:9090/-/reload || true - path: /etc/systemd/system/prepare-prometheus.service content: | [Unit] Description=Prepare prometheus / alertmanager configuration Wants=network-online.target After=network-online.target [Service] Type=oneshot ExecStart=/usr/local/bin/prepare-prometheus # please note data.mount in dependencies - path: /etc/systemd/system/prometheus.service content: | [Unit] Description=Prometheus Wants=network-online.target After=network-online.target data.mount prepare-prometheus.service [Service] Type=simple ExecStart=/usr/local/bin/prometheus \ --config.file /etc/prometheus/prometheus.yaml \ --storage.tsdb.path /data/ \ --web.enable-lifecycle \ --web.console.templates=/etc/prometheus/consoles \ --web.console.libraries=/etc/prometheus/console_libraries \ --enable-feature=remote-write-receiver [Install] WantedBy=multi-user.target - path: /etc/systemd/system/alertmanager.service content: | [Unit] Description=Alert Manager Wants=network-online.target After=network-online.target data.mount prepare-prometheus.service [Service] Type=simple ExecStart=/usr/local/bin/alertmanager \ --config.file /etc/prometheus/alertmanager.yaml \ --storage.path=/data/ [Install] WantedBy=multi-user.target

Prometheus recently added native support for time ranges in the alerting config https://github.com/prometheus/alertmanager/issues/876

Prometheus)Alertmanager: https://github.com/prometheus/alertmanager | https://prometheus.io/

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.