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Note: You think the response data structure with the data field and the included field with mixed data types looks weird? You might not have encountered the popular JSON:API standard yet. - Source: dev.to / 14 days ago
In addition to saving you time on boilerplate, the API provided by Hatchify fully implements the JSON: API specification, which stipulates solid standards to define the peculiarities of CRUD REST APIs. Get back all the time spent bike-shedding how to implement standard API features like filtering, pagination, including related data, etc. JSON: API offers consistent practices for frontend and backend developers to... - Source: dev.to / 2 months ago
-JSON:API format responses (https://jsonapi.org) for better standardization. Built using Ruby on Rails, Sunnybox is designed to offer a powerful yet easy-to-use solution for developers managing email systems. I'd really appreciate your feedback on: - The API's user-friendliness and efficiency. - Source: Hacker News / 5 months ago
As we’re building a RESTful API that’s formatted by the JSON:API specification and store our data in a MySQL8 relational database, a few things were pretty straightforward – we need a new model and we’ll name it Custom Field (naming wasn’t an issue here 🥲). - Source: dev.to / 6 months ago
I found json api spec[1] recently. This kind of is better standard for REST APIs. It is bit rough to handle client side but once you get the hang of it, it is breeze to use [1] https://jsonapi.org/. - Source: Hacker News / 7 months ago
Kubernetes Documentation: https://kubernetes.io/docs/home/ Kubernetes Tutorials: https://kubernetes.io/docs/tutorials/ Kubernetes Community: https://kubernetes.io/community/ Prometheus: https://prometheus.io/ Grafana: https://grafana.com/ Elasticsearch: https://www.elastic.co/elasticsearch/ Kibana: https://www.elastic.co/kibana Helm: https://helm.sh/ Prometheus Helm Chart:... - Source: dev.to / 2 days ago
Monitoring application logs is a crucial aspect of the software development and deployment lifecycle. In this post, we'll delve into the process of observing logs generated by Docker container applications operating within HashiCorp Nomad. With the aid of Grafana, Vector, and Loki, we'll explore effective strategies for log analysis and visualization, enhancing visibility and troubleshooting capabilities within... - Source: dev.to / 2 months ago
To help us visualize these scenarios, we'll build a Grafana Dashboard so we can follow along. - Source: dev.to / about 2 months ago
Visualization and Analysis: Choose a tool with intuitive and customizable dashboards, charts, and visualizations. A question to ask is, "Are the visualization features of this tool user-friendly and adaptable to our team's specific needs?" Tools like Grafana and Kibana provide powerful visualization capabilities. - Source: dev.to / about 2 months ago
Prometheus: Open-source monitoring system. Often used together with Grafana. - Source: dev.to / 3 months ago
ReqRes - A hosted REST-API ready to respond to your AJAX requests.
Prometheus - An open-source systems monitoring and alerting toolkit.
JSON Placeholder - JSON Placeholder is a modern platform that provides you online REST API, which you can instantly use whenever you need any fake data.
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.
JSON Server - Get a full fake REST API with zero coding in less than 30 seconds. For front-end developers who need a quick back-end for prototyping and mocking
Zabbix - Track, record, alert and visualize performance and availability of IT resources