Amazon EC2
DigitalOcean
Linode
Vultr
Microsoft Azure
Google Compute Engine
Amazon AWS
Heroku
CodeStream
Refactor.io
Figstack
PullRequest.com
GitLive
Azure DevOps
codebeat
Promyze
CodeStream enables asynchronous communication among developers on your team, anywhere. Review changes in the context of the full source tree, using your favorite keybindings and environment. Use a simple shortcut to highlight your code and CodeStream will automatically assign a reviewer based on context and history. Comment and code review threads are automatically repositioned as your code changes, even across branches.
Amazon EC2
CodeStreamDevelopment teams who heavily rely on IDEs like Visual Studio Code, IntelliJ, and others. It is particularly useful for remote teams that require robust code review and communication tools to maintain effective collaboration.
After using this with my development team for a few weeks, we grew to love it. Product works amazing for its purpose and really helps developers communicate about our code.
Based on our record, Amazon EC2 seems to be more popular. 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.
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
DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.
Refactor.io - Share your code instantly for refactoring and code review
Linode - We make it simple to develop, deploy, and scale cloud infrastructure at the best price-to-performance ratio in the market.
Figstack - Your intelligent coding companion
Vultr - Global, automated cloud infrastructure from the broadest array of AMD and NVIDIA GPUs to virtual CPUs, bare metal, Kubernetes, storage, and networking solutions.
PullRequest.com - Code review as a service