plugins VS prometheus

Setting up Auth0 authentication in your Amplication application is easy. You can use the Auth0 plugin to add the required dependencies and configuration files to your application. The steps are as follows:

amplication/plugins

💡 Did you know? Amplication provides a Dockerfile for containerizing your services out of the box and has a plugin to create a Helm Chart for your services to ease container orchestration.

💡Pro Tip: Amplication now offers a Redis Plugin that can help you integrate Redis into your microservices more easily than ever before.

2. Helm Charts Plugin: Amplication offers a Helm Charts plugin that simplifies the deployment of containerized microservices on Kubernetes clusters. Helm charts provide a templated approach to defining Kubernetes resources, making it easier to manage the deployment process and ensure consistency across different environments.

To illustrate this development workflow, let's look at the MySQL plugin. But first, let's review the functionality of a database connection:

Hello, Yuval here, founder of Amplication. I’m very excited to share with you what the Amplication team is working on.

Amplication saves engineers from undifferentiated heavy lifting in application development, while helping organizations speed up delivery, and enforcing best practices and standardization across multiple teams and developers.

Amplication accelerates the development of backend applications and microservices with high-quality code generation, streamlining and automating development while solving issues that delay production readiness.

We built Amplication so developers like us could focus on coding the parts that matter rather than get distracted by repetitive tasks and boilerplate code.

Amplication is an open-source platform that lets you easily configure your backend services, by generating a human-readable and editable TypeScript Node.js codebase. The generated code includes everything you need to start writing your business logic.

Amplication continuously generates the code based on changes in the schema and configuration, then pushes the code to a GitHub repository to allow developers to continue off and edit it further based on their needs.

Today's launch of our v1.0 also incorporates a plugin architecture that enables developers to develop their own plugins to implement best practices, code conventions, custom integrations, and virtually anything in the generated code. Developers can use plugins created by Amplication’s core team, by our community, or create their own.

We already have several plugins on our Github plugins repo -https://github.com/amplication/plugins, including support for Kafka, MySQL PostgreSQL, Passport JWT, Passport Basic authentication, and the list is growing.

We can’t wait for you to experience Amplication, please share your thoughts.

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.