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Based on our record, Google Cloud Run seems to be a lot more popular than Telepresence. While we know about 82 links to Google Cloud Run, we've tracked only 2 mentions of Telepresence. 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.
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 / 9 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 / 9 months ago
This is where shared environment tools like Telepresence and CodeZero can help. They assume you're only working on one or two microservices anyway, and running them locally is not an issue. These tools let you connect your local service to the staging environment, replacing the service currently running in the cluster, without deployment. The code you're working on runs locally, and its dependencies run in the... - Source: dev.to / over 1 year ago
Local development is an entirely different story on its own. There many tools just for this (tilt.dev, garden.io, telepresence.io, okteto.com). Source: almost 3 years ago
AWS Lambda - Automatic, event-driven compute service
Okteto - Development platform for Kubernetes applications.
Spot.io - Build web, mobile and IoT applications using AWS Lambda and API Gateway, Azure Functions, Google Cloud Functions, and more.
DevSpace (for Kubernetes and Docker) - Cloud-Native Software Development with Kubernetes and Docker
Nuclio - Nuclio is an open source serverless platform.
mirrord - Connect your local process and your cloud environment.