Based on our record, Google Cloud Functions seems to be a lot more popular than Scalr. While we know about 41 links to Google Cloud Functions, we've tracked only 4 mentions of Scalr. 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.
Scalr.com - Scalr is a Terraform Automation and COllaboration (TACO) product used to better collaboration and automation on infrastructure and configurations managed by Terraform. Full Terraform CLI support, OPA integration, and a hierarchical configuration model. No SSO tax. All features are included. Use up to 50 runs/month for free. - Source: dev.to / 3 months ago
Scalr is a tool that was created to give the Terraform community an affordable alternative to Terraform Cloud/Enterprise. Scalr is the only product in the space that has a hierarchical model to allow for object inheritance/sharing from a top-down perspective, cross-environment/workspace visibility, and custom RBAC to accommodate any complex org standards. Scalr can operate in a centralized or decentralized way... Source: over 2 years ago
Scalr.com - Remote state & operations backend for Terraform with full CLI support, integration with OPA and a hierarchical configuration model. Free up to 5 users. - Source: dev.to / almost 3 years ago
Actually, the "TACoS" term was coined by Sebastian, CTO of Scalr. Source: almost 3 years ago
One of the issues developers can encounter when developing in Cloud Functions is the time taken to deploy changes. You can help reduce this time by dynamically loading some of your Python classes. This allows you to make iterative changes to just the area of your application that you’re working on. - Source: dev.to / 5 months ago
I've been looking at Google Secret Manager which sounds promising but I've not been able to find any examples or tutorials that help with the actual practical details of best practice or getting this working. I'm currently reading about Cloud Functions which also sound promising but again, I'm just going deeper and deeper into GCP without feeling like I'm gaining any useful insights. Source: 7 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
Lambda is made for your use case :). It doesn’t have to be AWS there are plenty of other serverless computing services like: - Google cloud functions - Azure functions Etc. Source: 11 months ago
Once you have some basic familiarity with programming, try deploying one of your Python programs to the cloud. Start with Cloud Functions, because that doesn't require any knowledge of Linux server administration. Source: 12 months ago
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