mirrord is an open-source tool that lets developers run local processes in the context of their cloud environment. It’s meant to provide the benefits of running your service on a cloud environment (e.g. staging) without actually going through the hassle of deploying it there, and without disrupting the environment by deploying untested code.
I can debug my code on my machine while it's accessing resources on my k8s cluster.
mirrord is super easy to get started with and works out of the box on any deployment.
Based on our record, Google Cloud Run should be more popular than mirrord. It has been mentiond 82 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
So, you've been using mirrord to simplify your development process (if you haven’t, go here!). Naturally, you want the traffic from the app you're debugging to go through the cluster environment, so your app can communicate with its clustery pals. There is a problem though: your latest change adds some new columns to the database, and you don’t want to modify the database in the cluster and affect everyone else... - Source: dev.to / 2 months ago
Hands-on tutorial of mirrord.dev with the creators and Rawkode! Source: 10 months ago
We're building an open-source tool called mirrord which lets you run a local process in the context of a pod in your cloud environment. We often get asked how mirrord is different from Telepresence and so we decided to write a short blog post about it, which we hope would be valuable to those interested in local Kubernetes development:. Source: 10 months ago
If you want to troubleshoot your app specificially or any network traffic, I'd recommend Https://mirrord.dev/ Just do, mirrord exec -t pod/target-pod -- ./path/to/process and run it in the context of your pod. Source: 11 months ago
Turns out supporting node.js in IntelliJ plugins is not as easy as you would expect (mostly because the extension point we are extending is not documented. With documentation this could have been simple), but we did it! I'm the JetBrains fan of the team, so I'm happy we're extending our support for IntelliJ. You can now run and debug node.js applications with the mirrord IntelliJ plugin. Mirrord let's you run... Source: about 1 year ago
Examples for products in this category are: Google Cloud Run, AWS App Runner, Azure Container Apps. Each has different scalability, cost, and integration trade-offs. - Source: dev.to / 3 months ago
Cloud Run is a managed platform that enables you to run container based workloads on top of Google infrastructure. Cloud Run automates many of the above steps and allows you to focus on developing and deploying updates to your application. - Source: dev.to / 4 months ago
Serverless computing was also introduced, where the developers focus on their code instead of server configuration.Google offers serverless technologies that include Cloud Functions and Cloud Run.Cloud Functions manages event-driven code and offers a pay-as-you-go service, while Cloud Run allows clients to deploy their containerized microservice applications in a managed environment. - Source: dev.to / 9 months ago
The quickest way is to deploy to Cloud Run. The service will use Dockerfile to build the production image. You can even omit the GOOGLE_APPLICATION_CREDENTIALS env var as these are in GCP’s projects by default. - Source: dev.to / 10 months ago
In our company we use Google Cloud Run to deploy web applications, and every app is built into a docker image. For now we use the default memory limit by Cloud Run which is 256 MB per container. Recently we started to notice that the part of applications go beyond this limit, causing a container to restart and in some cases even resulting to downtime of a service. - Source: dev.to / 10 months ago
Telepresence - Telepresence is an open source tool that lets you develop and debug your Kubernetes services...
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Okteto - Development platform for Kubernetes applications.
Fission.io - Fission.io is a serverless framework for Kubernetes that supports many concepts such as event triggers, parallel execution, and statelessness.