Kong VS prometheus

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.

OPeNsOuRcE. Good time to switch to Kong, better option anyways.

Sounds like you want an API gateway? What about Kong?

Unquestionably no, Kong is "OpenResty plus a management plane" and they're Apache 2: https://github.com/kong/kong#license

Kong (https://konghq.com) | Gateway Senior Engineer | REMOTE Europe | Full-time

The Kong Gateway is an API Management solution, which serves as a foundation for many other solutions by the company. The business model is open-core: an Open Source solution exists (https://github.com/kong/kong), and there's an Enterprise version with more features and dedicated support.

The tech stack is a modified Openresty with of Lua code on top. The ideal candidate would be someone who is already familiar with Kong. Alternatively, if you are familiar with Openresty or other API management solution, we also would love to talk with you.

I am personally interested in finding people to join me in the European Gateway Team. The role involves adding features, fixing bugs, and collaborating with other teams. Here's that position:

https://jobs.lever.co/kong/c1a2b204-45a8-4c19-9cd4-d9824a778...

We have many projects and many teams all around the world (current headcount is ~450), using other technologies like Node in the Kong Manager or Go in the Koko project, and we are constantly looking for people. Please visit our careers page to find out more!

https://konghq.com/careers/

Kong Gateway allows the complexity of service-tier APIs to be reduced to a collection of endpoints (or URIs) focused on meeting a collection of business needs and functionality. Often-duplicated components (like authentication, logging, and security) are handled by the gateway and can be removed from the service-tier design.

I am seeing different companies taking different approach. I am not sure anymore where each should be actually used. On top of that tech like Kong make me question whether API Gateway should be one thing for all. Some perspective into this would be really appreciated.

It's like Prometheus, but for logs. Okay it's not really to do with the Norse or Greek gods, instead Loki is a horizontally-scalable, highly-available, multi-tenant log aggregation system inspired by the open source project Prometheus. Built by Grafana Labs, Loki is designed for ease of use. Instead of indexing the contents of the logs, Loki provides a set of labels for each log stream. The latest update includes query acceleration with Bloom filters, native OTel support, Helm charts, and more. Check out the changelog for all the major changes and deprecations.

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.