Based on our record, Google Cloud Functions should be more popular than AWS CodeDeploy. It has been mentiond 41 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.
AWS CodeDeploy is a deployment service that automates application deployments to Amazon EC2 instances, on-premises instances, serverless Lambda functions, or Amazon ECS services. A compute platform is a platform on which CodeDeploy deploys an application. There are three compute platforms:. - Source: dev.to / 3 months ago
When we deploy code at Aha! We kick off a number of AWS CodeDeploy tasks running in parallel. Here's some code to simulate deployment:. - Source: dev.to / 9 months ago
AWS has a service named CodeDeploy for this. It does exactly what you describe. Source: about 1 year ago
AWS CodeDeploy is a fully managed deployment service that automates software deployments to various compute services, such as Amazon Elastic Compute Cloud (EC2), Amazon Elastic Container Service (ECS), AWS Lambda, and your on-premises servers. - Source: dev.to / over 1 year ago
AWS's developer suite of products includes the AWS CodeDeploy offering, which can help developers deploy AWS Lambda functions and other compute-related services. - Source: dev.to / over 1 year 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
Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
Ansible - Radically simple configuration-management, application deployment, task-execution, and multi-node orchestration engine
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.
Travis CI - Focus on writing code. Let Travis CI take care of running your tests and deploying your apps.
Dokku - Docker powered mini-Heroku in around 100 lines of Bash