apisix-dashboard VS prometheus

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).

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.

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:

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.

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.

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.

I've used Kong but currently evaluating APISix as it's a more 'free/open' API gateway.

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.

Here's how to do it with Apache APISIX.

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.

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.

wget https://github.com/prometheus/prometheus/releases/download/v2.46.0/prometheus-2.46.0.linux-amd64.tar.gz

Prometheus: Open-source monitoring system. Often used together with Grafana.