Google Cloud Functions
Google App Engine
Salesforce Platform
Dokku
AWS Lambda
Azure Web Apps
Now Platform
AWS Elastic Beanstalk
Google Cloud Monitoring
Amazon CloudWatch
Google Cloud Pub/Sub
Google StackDriver
Google Cloud DNS
Apigee
Google Cloud Platform
Google Cloud Spanner
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Based on our record, Google Cloud Functions seems to be a lot more popular than Google Cloud Monitoring. While we know about 41 links to Google Cloud Functions, we've tracked only 4 mentions of Google Cloud Monitoring. 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.
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: 11 months ago
Cloud Run emits some metrics by default, like CPU usage, memory usage, number of instances. You can build dashboards based on those metrics in Cloud Monitoring. Source: about 1 year ago
Monitoring and Logging: Utilize tools like Cloud Monitoring and Cloud Logging to keep a close eye on the performance and progress of your scheduled tasks. - Source: dev.to / about 1 year ago
Whether it is AWS, Azure, GCP or any other cloud platform, all of them come with out of the box monitoring and logging tools. Source: over 1 year ago
Cloud Monitoring: Infrastructure and application monitoring 🔗Link 🔗Link. - Source: dev.to / over 1 year ago
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
Amazon CloudWatch - Amazon CloudWatch is a monitoring service for AWS cloud resources and the applications you run on AWS.
Salesforce Platform - Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.
Google Cloud Pub/Sub - Cloud Pub/Sub is a flexible, reliable, real-time messaging service for independent applications to publish & subscribe to asynchronous events.
Dokku - Docker powered mini-Heroku in around 100 lines of Bash
Google StackDriver - Stackdriver provides monitoring services for cloud-powered applications.