Jenkins VS prometheus

Jenkins is a highly extensible Java-based CI/CD automation server. It is open-source and self-hosted and enables you to automate, build, and deploy your software. The tool seamlessly integrates with various version control systems, cloud providers, and third-party applications, making it a versatile choice for modern development environments.

For instance, IDPs can automatically trigger a deployment process in Jenkins or CircleCI when a developer pushes code to a Git repository.

Familiarize yourself with tools like Jenkins, Travis CI, GitLab CI, and others that facilitate these practices.

Jenkins: An open-source automation server that can be used to set up CI/CD pipelines.

Jenkins is an open-source automation tool that allows developers to build, test and deploy software.

Choosing the right CI/CD platform and mastering YAML configuration are critical steps in optimizing your software development process. First, choose a CI/CD platform from popular options such as Jenkins, Travis CI, CircleCI, GitLab CI/CD, or GitHub Actions that meets the needs of your project and integrates seamlessly with your development stack.

Jenkins is a Java based CI/CD system that can be self hosted. In order to initiate builds, Jenkins utilizes a component called an agent to execute build commands. These agents can be a constantly running service or part of an on demand service such as a cloud provider or Docker containers. Kubernetes is one such solution to deploying build agents on demand. This article will look at how to setup Kubernetes as a provider for Jenkins build agents.

In this article, we briefly discussed some popular CI/CD platforms for React Native and why they are crucial in the programming world. We also included some honorable mentions, Jenkins CI and Bitrise, in our comparison table. It is important to remember that every project is different, and therefore it is important to evaluate each tool’s advantages and disadvantages.

Originally, I was using Jenkins (Yes, the CI pipeline java app) for this, but it was clear that is not its purpose, and it was fairly clunky. The only real upside was direct git support, but I don't mind incorporating git pulls into my jobs themselves.

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.