5 Ways to Improve Your API Reliability

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • client_golang

    Prometheus instrumentation library for Go applications

  • Prometheus, an open-source systems monitoring and alerting toolkit, has client libraries that allow you to instrument your services in a variety of languages. Here's an example of how you might use the Go client library to expose metrics on an HTTP endpoint. We will leverage the prometheus go client to expose metrics and create them.

  • Kong

    🦍 The Cloud-Native API Gateway and AI Gateway.

  • Kong: A cloud-native, fast, scalable, and distributed Microservice Abstraction Layer (also known as an API Gateway or API Middleware). Made available as an open-source project in 2015, its core functionality is written in Lua and it runs on the nginx web server.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • krakend-ce

    KrakenD Community Edition: High-performance, stateless, declarative, API Gateway written in Go.

  • KrakenD: A high-performance open-source API Gateway. It helps application developers release features quickly by eliminating all the complexities of SOA architectures while offering a unique performance.

  • Tyk

    Tyk Open Source API Gateway written in Go, supporting REST, GraphQL, TCP and gRPC protocols

  • Tyk: An open-source API Gateway that is fast and scalable, running on either its own standalone server or alongside your existing nginx installation.

  • express-gateway

    A microservices API Gateway built on top of Express.js

  • Express Gateway: A microservices API Gateway built on Express.js. It's entirely extensible and framework agnostic, delivering robust, scalable solutions in no time.

  • prometheus

    The Prometheus monitoring system and time series database.

  • Prometheus, an open-source systems monitoring and alerting toolkit, has client libraries that allow you to instrument your services in a variety of languages. Here's an example of how you might use the Go client library to expose metrics on an HTTP endpoint. We will leverage the prometheus go client to expose metrics and create them.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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