configs | My config files | Configuration Management library

I got this below error when run the API-GATEWAY, I tried so many ways but I couldn't solve this issue.

Description:

Spring MVC found on classpath, which is incompatible with Spring Cloud Gateway.

Action:

Please set spring.main.web-application-type=reactive or remove spring-boot-starter-web dependency.

Main Class

I'm trying to upgrade our NestJS GraphQL subscriptions server to utilize graphql-ws rather than the current subscriptions-transport-ws (as suggested by the NestJS documentation). I upgraded the NestJS version to

Recently I have started to use hydra to manage the configs in my application. I use Structured Configs to create schema for .yaml config files. Structured Configs in Hyda uses dataclasses for type checking. However, I also want to use some kind of validators for some of the parameter I specify in my Structured Configs (something like this).

Do you know if it is somehow possible to use Pydantic for this purpose? When I try to use Pydantic, OmegaConf complains about it:

I'm deploying a spring-boot application and prometheus container through docker, and have exposed the spring-boot /actuator/prometheus endpoint successfully. However, when I enable prometheus debug logs, I can see it fails to scrape the metrics:

I am getting the following error mentioned. The basic configs are as follow: I have uploaded the files on the server I want to download them but getting these errors I called a POST request to /api/files/delete/${fileId} Which should call the route and give back the file to the browser instead getting the error with the Grid related module.

I have an application running on my local machine that uses React -> gRPC-Web -> Envoy -> Go app and everything runs with no problems. I'm trying to deploy this using GKE Autopilot and I just haven't been able to get the configuration right. I'm new to all of GCP/GKE, so I'm looking for help to figure out where I'm going wrong.

I was following this doc initially, even though I only have one gRPC service: https://cloud.google.com/architecture/exposing-grpc-services-on-gke-using-envoy-proxy

From what I've read, GKE Autopilot mode requires using External HTTP(s) load balancing instead of Network Load Balancing as described in the above solution, so I've been trying to get that to work. After a variety of attempts, my current strategy has an Ingress, BackendConfig, Service, and Deployment. The deployment has three containers: my app, an Envoy sidecar to transform the gRPC-Web requests and responses, and a cloud SQL proxy sidecar. I eventually want to be using TLS, but for now, I left that out so it wouldn't complicate things even more.

When I apply all of the configs, the backend service shows one backend in one zone and the health check fails. The health check is set for port 8080 and path /healthz which is what I think I've specified in the deployment config, but I'm suspicious because when I look at the details for the envoy-sidecar container, it shows the Readiness probe as: http-get HTTP://:0/healthz headers=x-envoy-livenessprobe:healthz. Does ":0" just mean it's using the default address and port for the container, or does indicate a config problem?

I've been reading various docs and just haven't been able to piece it all together. Is there an example somewhere that shows how this can be done? I've been searching and haven't found one.

My current configs are:

I have the following code

This is the Warning that I receive from Webpack, despite installing the imageminSvgo plugin.

I have used it within the Image Minimizer Plugin as imageminSvgo, but Webpack doesn't seem to detect it.

I would really appreciate some help in knowing how to use this plugin in my project in the best way.

Here are my webpack.config.js configs.

webpack.config.js

We have a Prometheus container and various other services and metrics exporter containers running in a custom docker network.

In our local dev environment on Win 10 x64 using Docker desktop everything works fine, the Prometheus container can scrape the metrics exporter containers in the custom network as well as the exposed Docker metrics from the host (Win 10).

On our Ubuntu 18.04 Linux host, latest Prometheus 2.30.3 container scrapes the metrics exporter containers in the custom network just fine but is unable to scrape the exposed Docker metrics from the host.

These are the specs and config for the Ubuntu host: