CodeClimate
Codacy
SonarQube
ESLint
Coveralls
SensioLabs Insight
CodeFactor.io
Source-Navigator NG
Amazon EC2
DigitalOcean
Linode
Vultr
Microsoft Azure
Google Compute Engine
Amazon AWS
Heroku
CodeClimate
Amazon EC2Based on our record, Amazon EC2 should be more popular than CodeClimate. It has been mentiond 81 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.
Automated analysis tools: SonarQube, CodeClimate, and Codacy detect code-level debt automatically: cyclomatic complexity, code duplication, dependency staleness, and coverage gaps. These tools supplement but don't replace the architectural and business-logic debt that requires human judgment to identify and document. - Source: dev.to / about 2 months ago
CodeClimate and Codacy can generate before/after metrics for code quality that make the starting and ending states concrete rather than subjective. - Source: dev.to / about 2 months ago
CodeClimate quantifies maintainability so teams canโt hand-wave garbage away. - Source: dev.to / 9 months ago
Code Climate: Link - Automated code review and quality analysis for codebase health. - Source: dev.to / about 1 year ago
Use tools like SonarQube or CodeClimate to spot the high-risk 20%. Then fix one thing at a time not everything at once. This isnโt Dark Souls. - Source: dev.to / about 1 year ago
For production deployment, the fine-tuned SLMs can run on SageMaker Real-Time Endpoints, self-hosted EC2, or even AWS Outposts for on-premise telco edge deployments where data residency is required. - Source: dev.to / 4 months ago
In this post we are using an Amazon EC2 T3 Micro instance running Ubuntu with an nginx web server. We'll use AWS Systems Manager to help set up a CI/CD pipeline using GitHub Actions. We'll then configure AWS Certificate Manager with Amazon CloudFront and have it connected to our domain with Amazon Route 53! We'll be using a Vue Nuxt 4 application as our web app. - Source: dev.to / 5 months ago
Cloud compute spend is one of the most visible and controllable components of AWS infrastructure costs, yet many organizations still pay for idle resources. Development, testing, UAT, QA, sandbox, and demo environments often run 24/7 out of convenience, even though they are only needed during business hours. Automatically stopping (โparkingโ) resources such as Amazon EC2 and Amazon RDS during off-hours is a... - Source: dev.to / 6 months ago
I believe that learning only theory or cramming these configuration options might not be enough to pass the exam. Also, and let's put your hand over your heart, memorizing EC2 or S3 settings will not make you a better cloud professional. - Source: dev.to / 7 months ago
Compute: This is the big one. It's the cost of running EC2 instances with GPUs (like the g5 or p4 series) for model training and deployment. It also includes the compute for services like Amazon SageMaker and AWS Batch. - Source: dev.to / 11 months ago
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.
SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.
Linode - We make it simple to develop, deploy, and scale cloud infrastructure at the best price-to-performance ratio in the market.
ESLint - The fully pluggable JavaScript code quality tool
Vultr - Global, automated cloud infrastructure from the broadest array of AMD and NVIDIA GPUs to virtual CPUs, bare metal, Kubernetes, storage, and networking solutions.