Google App Engine
Salesforce Platform
Dokku
Heroku
AWS Lambda
AWS Elastic Beanstalk
Google Cloud Functions
Azure Web Apps
Codecov
CodeClimate
Codacy
Coveralls
SonarQube
ESLint
SensioLabs Insight
Source-Navigator NG
Google App Engine CodecovGoogle App Engine is recommended for developers building web applications who prefer a Platform as a Service (PaaS) model, startups who need a solution that can grow with them without worrying about scaling issues, teams wanting to leverage Google's robust data and analytics offerings, and businesses that require a global reach with reliable performance.
Codecov is recommended for development teams looking to enhance their code testing strategy with detailed coverage insights. It is particularly useful for projects that rely on CI/CD pipelines and value integration with platforms like GitHub, GitLab, or Bitbucket. Teams that employ diverse technology stacks can also benefit given Codecov's broad language support.
Based on our record, Google App Engine should be more popular than Codecov. It has been mentiond 33 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.
Google App Engine (GAE) -- the "OG" serverless platform that launched back in 2008 & somewhat modernized in 2018; uses customized, proprietary containers, free static file edge-caching, and generous outbound networking free tier. - Source: dev.to / 9 months ago
Google App Engine - Google's fully managed platform for building scalable web and mobile backends. - Source: dev.to / about 1 year ago
If Google App Engine (GAE) is the "OG" serverless platform, Cloud Run (GCR) is its logical successor, crafted for today's modern app-hosting needs. GAE was the 1st generation of Google serverless platforms. It has since been joined, about a decade later, by 2nd generation services, GCR and Cloud Functions (GCF). GCF is somewhat out-of-scope for this post so I'll cover that another time. - Source: dev.to / over 1 year ago
As Windsales Inc. expands, it adopts a PaaS model to offload server and runtime management, allowing its developers and engineers to focus on code development and deployment. By partnering with providers like Heroku and Google App Engine, Windsales Inc. Accesses a fully managed runtime environment. This choice relieves Windsales Inc. Of managing servers, OS updates, or runtime environment behavior. Instead,... - Source: dev.to / almost 2 years ago
Google App Engine (GAE) is their original serverless solution and first cloud product, launching in 2008 (video), giving rise to Serverless 1.0 and the cloud computing platform-as-a-service (PaaS) service level. It didn't do function-hosting nor was the concept of containers mainstream yet. GAE was specifically for (web) app-hosting (but also supported mobile backends as well). - Source: dev.to / almost 2 years ago
Hi! I made a small tool to open test coverage uploaded to Codecov[1] in a web browser with a few helpful flags: - branch: A target branch - path: The specific file - remote: An upstream Frequent clicks through the same paths and manual changes to the URL was a solid motivation for me. Learning more about Zig was a nice happening too. Not sponsored but that'd be cool ;) [1]: https://about.codecov.io. - Source: Hacker News / over 1 year ago
First of all, we need to have a repository. You can use different services, but I will show you on GitHub. First, you will need to go to the site and register in a way convenient for you. After that, you will see a personal account like this:. - Source: dev.to / over 1 year ago
If you're actively testing your codebase, which I hope you are, consider integrating a code coverage automatic checker such as codecov. This tool can alert if the coverage drops below a threshold. While I've had positive experiences with such tools, it's worth mentioning that the adoption process may pose some challenges. - Source: dev.to / over 2 years ago
The code coverage is printed out in the Coverage Report step but it is useful to track code coverage over time and have a repository badge which shows the current coverage percentage. There are many different code coverage and testing applications but we will use CodeCov. - Source: dev.to / almost 3 years ago
Usually, you can't build a product without using various tools. Some of them can be free, and some of them can be commercial. The great benefit of working on Open Source projects is that a lot of companies with commercial products have special offers for non-commercial development. In the case of the "xq" utility, which is written in Go, I use GoLand IDE by JetBrains. I paid for it for several months but later... - Source: dev.to / about 3 years ago
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.
CodeClimate - Code Climate provides automated code review for your apps, letting you fix quality and security issues before they hit production. We check every commit, branch and pull request for changes in quality and potential vulnerabilities.
Dokku - Docker powered mini-Heroku in around 100 lines of Bash
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
Heroku - Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.
Coveralls - Coveralls is a code coverage history and tracking tool that tests coverage reports and statistics for engineering teams.
