mria VS prometheus

Mria is an open source extension to Mnesia that adds eventual consistency to clusters. Most of the features described earlier still apply to it, the difference is how data is replicated between nodes. Mria switched from a full mesh topology to a mesh+star topology. Each node assumes one of two roles: core node or replicant node.

In EMQX 5.0, we attempted to mitigate this issue in a new DB backend type called RLOG (as in replication log), which is implemented in Mria. Mria is an extension to the Mnesia database that helps it scale horizontally by defining two types of nodes: i) core nodes, which behave as usual Mnesia nodes and participate in write transactions; ii) replicant nodes, which do not take part in transactions and delegate those to core nodes, while keeping a read-only replica of the data locally. This helps to reduce the risk of split-brain scenarios and lessens the coordination needed for transactions, since fewer nodes participate in it, while keeping read-only data access fast, since data is available locally for reading in all nodes.

Mria is an open-source extension to Mnesia that adds eventual consistency to the cluster.

> write-up soon as a guide for Python developers moving to Elixir

Awesome initiative!

> ETS as a KV/document store to hold user and application state and then reacting to changes in to that the way you are here

This is actually pretty interesting. I can't speak to ETS but Mnesia has replication and you can expose the replication log using something like https://github.com/emqx/mria. I've only had a cursory look at this so I could be wrong about its capabilities but it would be an awesome extension to the new Realtime if possible.

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