apisix-dashboard
Grafana
apisix-dashboard | Grafana | |
---|---|---|
35 | 379 | |
926 | 60,395 | |
1.3% | 0.7% | |
4.1 | 10.0 | |
about 1 month ago | 6 days ago | |
Go | TypeScript | |
Apache License 2.0 | GNU Affero General Public License v3.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
apisix-dashboard
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RBAC with API Gateway and Open Policy Agent(OPA)
With various access control models and implementation methods available, constructing an authorization system for backend service APIs can still be challenging. However, the ultimate goal is to ensure that the correct individual has appropriate access to the relevant resource. In this article, we will discuss how to enable the Role-based access control(RBAC) authorization model for your API with open-source API Gateway Apache APISIX and Open Policy Agent (OPA).
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Make API product lifecycle management easy
The API Create phase is the first stage in the API product lifecycle management process where you design, orchestrate, transform, document, and test your API. At this stage, modern API gateways like Apache APISIX can be helpful to build your API from scratch or import API definitions from a range of sources like OpenAPI YAML/JSON structure to register Route and Upstreams.
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mTLS everywhere!
Apache APISIX is an API Gateway. By default, it stores its configuration in etcd, a distributed key-value store - the same one used by Kubernetes. Note that in real-world scenarios, we should set up etcd clustering to improve the resiliency of the solution. For this post, we will limit ourselves to a single etcd instance. Apache APISIX offers an admin API via HTTP endpoints. Finally, the gateway forwards calls from the client to an upstream. Here's an overview of the architecture and the required certificates:
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Efficiently Manage Your GraphQL API with API Gateway
One of the key features of modern API Gateways such as Apache APISIX is its support for GraphQL APIs. APISIX makes it easy to manage and scale GraphQL APIs using its flexible configuration system and powerful plugins. One such plugin is the degrapghql plugin, which allows us to convert the GraphQL API into a REST API. In this post, we will explore this feature with an example.
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A Guide to DevSecOps with API Gateway
Secure your API: Use an to secure API Gateway by adding authentication, rate limiting, and other security features. It reduces the number of exposed APIs, organizations can reduce surfaces of attacks.
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gRPC on the client side
An alternative exists, though, if you're using an API Gateway. I'll describe how to do it with Apache APISIX, but perhaps other gateways can do the same. grpc-transcode is a plugin that allows transcoding REST calls to gRPC and back again.
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I am building my first microservice project, what API Gateway do y'all use? or how do you implement an API Gateway?
I've used Kong but currently evaluating APISix as it's a more 'free/open' API gateway.
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Expose APIs from Apache APISIX to the Power Platform
In this article, we will show you how to create a custom connector for the open-source Apache APISIX API Gateway in Power Platform as an alternative to Azure API Management in case you are building up additional components to an existing system with usable APIs and your system's infrastructure is hosted on-premises or on other cloud services provider rather than Azure.
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The right feature at the right place
Here's how to do it with Apache APISIX.
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Apache APISIX Serverless Plugin for Event Hooks
Apache APISIX is an open-source, high-performance API gateway built on top of Nginx. One of its powerful features is the ability to create serverless functions, which are small, stateless programs that can extend the functionality of Apache APISIX. In this article, we'll cover the basics of the Apache APISIX serverless plugin and how it can be used to trigger serverless functions in response to events.
Grafana
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Docker Log Observability: Analyzing Container Logs in HashiCorp Nomad with Vector, Loki, and Grafana
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 your Nomad environment.
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Golang: out-of-box backpressure handling with gRPC, proven by a Grafana dashboard
To help us visualize these scenarios, we'll build a Grafana Dashboard so we can follow along.
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Monitoring, Observability, and Telemetry Explained
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.
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4 facets of API monitoring you should implement
Prometheus: Open-source monitoring system. Often used together with Grafana.
- Grafana: Open and composable observability and data visualization platform
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The Mechanics of Silicon Valley Pump and Dump Schemes
Grafana
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Reverse engineering the Grafana API to get the data from a dashboard
Yes I'm aware that Grafana is open source but the method I used to find the API endpoints is far quicker than digging through hundreds of files in a codebase I'm not familiar with.
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Building an Observability Stack with Docker
So, you will add one last container to allow us to visualize this data: Grafana, an open-source analytics and visualization platform that allows us to see traces and metrics simply. You can set Grafana to read data from both Tempo and Prometheus by setting them as datastores with the following grafana.datasource.yaml config file:
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How to collect metrics from node.js applications in PM2 with exporting to Prometheus
In example above, we use 2 additional parameters: code (HTTP response code) and page (page identifier), which provide detailed statistics. For example, you can build such graphs in Grafana:
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Root Cause Chronicles: Quivering Queue
Robin switched to the Grafana dashboard tab, and sure enough, the 5xx volume on web service was rising. It had not hit the critical alert thresholds yet, but customers had already started noticing.
What are some alternatives?
krakend-ce - KrakenD Community Edition: High-performance, stateless, declarative, API Gateway written in Go.
Thingsboard - Open-source IoT Platform - Device management, data collection, processing and visualization.
etcd - Distributed reliable key-value store for the most critical data of a distributed system
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
express-gateway - A microservices API Gateway built on top of Express.js
Heimdall - An Application dashboard and launcher
prometheus - The Prometheus monitoring system and time series database.
Wazuh - Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
Vagrant - Vagrant is a tool for building and distributing development environments.
Thingspeak - ThingSpeak is an open source “Internet of Things” application and API to store and retrieve data from things using HTTP over the Internet or via a Local Area Network. With ThingSpeak, you can create sensor logging applications, location tracking applications, and a social network of things with status updates.
apisix - The Cloud-Native API Gateway
uptime-kuma - A fancy self-hosted monitoring tool