Based on our record, Prometheus seems to be a lot more popular than Sanic. While we know about 224 links to Prometheus, we've tracked only 5 mentions of Sanic. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Sanic is very very popular with 16.6k stars, 1.5k forks, opencollective sponsors and a very active github. Falcon is more popular than japronto with 8.9k stars, 898 forks, opencollective sponsors and a very active github too. Despite Japronto been keeped as first place by TechEmPower, Falcon is a way better solution in general with performance similar to fastify an very fast node.js framework that hits 575k... - Source: dev.to / over 1 year ago
Requests - A simple, yet elegant, HTTP library. Sanic - Next generation Python web server/framework | Build fast. Run fast. Click - Python composable command line interface toolkit Elasticsearch-dsl-py - High level Python client for Elasticsearch Panel - A high-level app and dashboarding solution for Python Internetarchive - A Python and Command-Line Interface to Archive.org Coconut - Simple, elegant,... - Source: dev.to / over 1 year ago
Personally I haven’t used it outside of trying a few very basic things. I’d recommend blacksheep if you want small, performant and low overhead, or sanic which, in my opinion, is the best choice if you do not need all the Django fluff. Source: almost 2 years ago
Dunno how much this will help, but you can check out how Sanic does auto reloading. Source: over 2 years ago
You should take a look at sanic https://github.com/sanic-org/sanic. - Source: Hacker News / about 3 years ago
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. - Source: dev.to / 24 days ago
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... - Source: dev.to / 28 days ago
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... - Source: dev.to / 30 days ago
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. - Source: dev.to / about 1 month ago
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. - Source: dev.to / about 1 month ago
Tornado - A Python web framework and asynchronous networking library, originally developed at FriendFeed
Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases
Apache Tomcat - An open source software implementation of the Java Servlet and JavaServer Pages technologies
Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
Microsoft IIS - Internet Information Services is a web server for Microsoft Windows
Zabbix - Track, record, alert and visualize performance and availability of IT resources