Software Alternatives & Reviews

Google Cloud Run VS Telepresence

Compare Google Cloud Run VS Telepresence and see what are their differences

Google Cloud Run logo Google Cloud Run

Bringing serverless to containers

Telepresence logo Telepresence

Telepresence is an open source tool that lets you develop and debug your Kubernetes services...
  • Google Cloud Run Landing page
    Landing page //
    2023-10-16
  • Telepresence Landing page
    Landing page //
    2023-01-04

Google Cloud Run videos

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Telepresence videos

Augmented Reality Telepresence in HoloLens 2 and Quest 2!

More videos:

  • Review - Review of OHMNI Telepresence Robot
  • Review - 60 Second Telepresence Review

Category Popularity

0-100% (relative to Google Cloud Run and Telepresence)
Cloud Computing
88 88%
12% 12
Developer Tools
70 70%
30% 30
DevOps Tools
0 0%
100% 100
Cloud Hosting
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Google Cloud Run and Telepresence

Google Cloud Run Reviews

Top 12 Kubernetes Alternatives to Choose From in 2023
So if anyone is looking for a flexible and cost-efficient platform for running containers on Google Cloud, then Google Cloud Run is great.
Source: humalect.com

Telepresence Reviews

mirrord as an alternative to Telepresence
However, the technical approach at the base of mirrord is very different from that of Telepresence, which translates into significant differences in usability, compatibility, and performance. What Telepresence does is install an operator in your cluster, then connect you to the cluster via VPN (either your entire development machine or a containerized subset). On the other...
Source: metalbear.co

Social recommendations and mentions

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.

Google Cloud Run mentions (82)

  • The 2024 Web Hosting Report
    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
  • How to deploy a Django app to Google Cloud Run using Terraform
    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
  • Golden Ticket To Explore Google Cloud
    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
  • Ultimate Guide to User Authorization with Identity Platform
    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
  • Reduce memory usage of NodeJS apps inside Docker
    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
View more

Telepresence mentions (2)

  • Approaches in Cloud Development Ergonomics
    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
  • Cluster best practices
    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

What are some alternatives?

When comparing Google Cloud Run and Telepresence, you can also consider the following products

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.