stanza VS prometheus

Been a while since I looked into fluentd and elasticsearch but I heard Stanza (soon to be moved to the OpenTelemetry Collector) is meant to be a modern replacement for it, but seems it's still in it's early days.

And then they contacted some famous log collection projects such as the Fluent Bit and also others like Stanza as well as Syslog, I guess. And I didn't read the whole thread of the conversation around log collection. But now, they set the Stanza as the first implementation of OpenTelemetry logs. And in Stanza, the observIQ with Stanza is merged under the OpenTelemetry log repository, so that's the status. And then, they try to standardize the format of logs based on the Stanza format, such as what kind of information should be included in log.

observIQ is a hosted log management platform that's powered by our FOSS log agent, Stanza: https://github.com/observIQ/stanza. Stanza is lightweight and robust (written in Go), and can be configured to act as a Syslog receiver in about a minute (guided configuration in our app).

observIQ is a simple, cost-effective hosted log management platform designed with small teams in-mind. Log collection is powered by Stanza: https://github.com/observIQ/stanza , our high-performance OSS log agent. Stanza was also recently adopted as the official log agent of the CNCF's OpenTelemetry project. observIQ offers guided-installation, pre-made dashboards, threshold-based alerts, live tail and more.

We're a new hosted log management platform with simple, native support for gathering logs from Openshift. Deployment typically takes a few minutes. We also automatically enrich Openshift logs metadata like node, namespace, pod, container - no additional configuration required. Logs are gathered with your high-performance OSS log agent, Stanza: https://github.com/observIQ/stanza

We offer a super simple, hosted log management platform that allows you to easily ingest any syslog traffic by setting up high-speed OSS agent as a syslog receiver in just a few click (setup takes about 30 seconds). You can find more about our log agent here: https://github.com/observIQ/stanza

Self-promotion alert, my apologies: Check us out at observIQ: https://observiq.com/ We provide a super-simple host log management platform powered our high-performance OSS Log Agent, Stanza (https://github.com/observIQ/stanza). Average setup time is about 5 minutes, end-to-end. Our platform is designed with start-ups and small businesses in-mind and are priced about half as much as our competitors. Lastly, we offer 14-day free trial, but also offer a completely free plan that provides 3 gigs of ingestion/day and 3 day retention - with access to the full feature set of the platform (Dashboards, Alerts, Live Tail). Shoot me a message or chat if you have any questions!

Similarly, our platform will be rolling out this feature soon, and will utilize our lightweight FOSS log agent Stanza - written in Go. The agent may work for your project https://github.com/observIQ/stanza

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.