
LeetCode
HackerRank
Project Euler
Codewars
CodeForces
Exercism
interviewing.io
Coderbyte
Amazon EC2
DigitalOcean
Linode
Vultr
Microsoft Azure
Google Compute Engine
Amazon AWS
Heroku
LeetCode
Amazon EC2LeetCode is the best platform to help people practice solving coding problems and prepare for technical interviews. The main users are software engineers. LeetCode has over 1,900 questions covering many different programming concepts.
Based on our record, LeetCode should be more popular than Amazon EC2. It has been mentiond 543 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.
Category Tool URL How I used it General AI assistant ChatGPT Https://chatgpt.com Breaking down concepts, simulating interviewers, reviewing answers AI writing / reasoning Claude Https://claude.ai Refining behavioral stories and system design explanations Coding practice LeetCode Https://leetcode.com Core DSA practice and timed coding drills Coding explanations NeetCode Https://neetcode.io Pattern-based... - Source: dev.to / about 2 months ago
Plain BST. Fine when input is random or the problem doesn't require worst-case guarantees. Tree problems on LeetCode typically assume balanced input and don't ask you to maintain balance yourself. - Source: dev.to / about 2 months ago
Your preparation should not be random. Platforms like LeetCode, Codeforces, and GeeksforGeeks are toolsโbut what matters is how you use them. - Source: dev.to / 3 months ago
Bash /path/to/chrome-launcher.sh email001@gmail.com https://leetcode.com. - Source: dev.to / 3 months ago
AI-Powered Learning Tools: Consider using AI-driven platforms like Khan Academy or LeetCode that can personalize your learning experience based on your progress and skill level. - Source: dev.to / 9 months 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
HackerRank - HackerRank is a platform that allows companies to conduct interviews remotely to hire developers and for technical assessment purposes.
DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.
Project Euler - Project Euler is a series of challenging mathematical/computer programming problems that will...
Linode - We make it simple to develop, deploy, and scale cloud infrastructure at the best price-to-performance ratio in the market.
Codewars - Achieve code mastery through challenge.
Vultr - Global, automated cloud infrastructure from the broadest array of AMD and NVIDIA GPUs to virtual CPUs, bare metal, Kubernetes, storage, and networking solutions.