Based on our record, BitBucket should be more popular than Google Cloud Functions. It has been mentiond 78 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.
I am using GitHub for both personal and work projects. In the past, I used BitBucket, and at some point I considered using GitLab, too. However, the popularity of GitHub and its ecosystem made it hard to ignore. I even use GitHub to follow trends in my profession. - Source: dev.to / 2 days ago
Facilitated Collaboration and Funding: With easier identification comes better connectivity. Contributors, partners, and funders can more readily find projects that resonate with their interests and values. Moreover, platforms such as GitHub, GitLab, and Bitbucket are increasingly interested in integrating standardized licensing solutions like License-Token, paving the way for broader adoption and collaborative... - Source: dev.to / 2 months ago
Git ensures that your code is safe. Even if your laptop crashes, your work is backed up on a remote repository (e.g., GitHub, GitLab, Bitbucket). - Source: dev.to / 7 months ago
GitHub, GitLab, Bitbucket: These platforms provide easy-to-use interfaces for Git, adding features like pull requests, issue tracking, and more. Explore GitHub, GitLab, and Bitbucket. - Source: dev.to / 8 months ago
Tools: Use platforms like Bitbucket or GitHub’s pull request feature. - Source: dev.to / 11 months ago
Google Cloud Functions bases pricing on Invocations, runtime, and memory with competitive free tier options. - Source: dev.to / 28 days ago
Google Cloud Functions Google Cloud Functions is a scalable serverless execution environment for building and connecting cloud services. It provides triggers automatically, with out-of-the-box support for HTTP and event-driven triggers from GCP services. There are two types of Google Cloud Functions: API cloud functions and event-driven cloud functions. The API cloud functions are invoked from standard HTTP... - Source: dev.to / about 1 month ago
Ensure that the processing and throughput requirements of your AML/KYC solutions can handle appropriately sized volumes of data and transactions for your organization’s needs efficiently. A microservices architecture using tools like Docker or Kubernetes for proprietary systems can help to ensure scalability, allowing you to scale individual components as needed. Exploit load balancing and caching mechanisms to... - Source: dev.to / 10 months ago
Data-Driven Projects: Seamless integration with Google's data and AI/ML services (like Cloud Functions and Cloud SQL) streamlines development workflows for data-driven applications. - Source: dev.to / 10 months ago
The first reason is that serverless architectures are inherently scalable and elastic. They automatically scale up or down based on the incoming workload without requiring manual intervention through serverless compute services like AWS Lambda, Azure Functions, or Google Cloud Functions. - Source: dev.to / 12 months ago
GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab
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.
Gitea - A painless self-hosted Git service
AWS Lambda - Automatic, event-driven compute service