
AWS Greengrass
AWS IoT
Particle.io
Azure IoT Hub
AWS IoT 1-Click
Blynk.io
AWS IoT Core
Azure IoT Edge
HackerRank
LeetCode
Codility
CodeSignal
iMocha
HackerEarth
Codewars
Coderbyte
AWS GreengrassHackerRank is recommended for students, individual learners, and job seekers looking to improve their coding skills, as well as for companies seeking an efficient way to evaluate candidates' technical abilities during the hiring process.
Based on our record, HackerRank seems to be a lot more popular than AWS Greengrass. While we know about 67 links to HackerRank, we've tracked only 6 mentions of AWS Greengrass. 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.
AWS IoT Greengrass is an open-source IoT edge runtime developed by Amazon Web Services. It allows connected devices to perform data processing, run applications, and communicate locally, even when internet connectivity is limited or unavailable. Once devices reconnect, the system synchronizes seamlessly with AWS cloud services. - Source: dev.to / 10 months ago
In this blog post series, we will demonstrate how to use AWS IoT Greengrass and Hashicorp Nomad to seamlessly interface with multiple interconnected devices and orchestrate service deployments on them. Greengrass will allow us to view the cluster as a single "Thing" from the cloud perspective, while Nomad will serve as the primary cluster orchestration tool. - Source: dev.to / over 3 years ago
AWS IoT Greengrass allows one to manage their IOT Edge devices, download ML models locally, so that inference can then be also be done locally. - Source: dev.to / about 4 years ago
To assist in deployment and management of workloads in your fleet, it's worth taking advantage of a fleet or device management tool such as AWS GreenGrass, Formant or Rocos. - Source: dev.to / over 4 years ago
In some cases, such as with edge devices, inferencing needs to occur even when there is limited or no connectivity to the cloud. Mining fields are an example of this type of use case. AWS IoT Greengrass enables ML inference locally using models that are created, trained, and optimized in the cloud using Amazon SageMaker, AWS Deep Learning AMI, or AWS Deep Learning Containers, and deployed on the edge devices. - Source: dev.to / over 4 years ago
This way, you transfer what you already know (problem-solving) but only change the syntax. Platforms like Hackerrank are also great to solve the same problem in different languages and learn from other peopleโs solutions. - Source: dev.to / 10 months ago
Firstly, solve some common data structure problems with it. Implement some data structures like arrays, linked lists, stacks, queues, etc. You can check common problems on LeetCode, Hackerank or some other resources. - Source: dev.to / about 2 years ago
I don't have a consecutive internet connection and I can't keep up learning process so I started practicing in hackerrank.com I have started some challenges in python and c++ there. Thus I have no internet connection so I cannot practice if anyone know any alternative that works like Working: Gives a challange User sumbits code and it test into testcases. Source: over 2 years ago
An effective way to improve your JavaScript skills is working through coding challenges and exercises. Sites like ReviewNPrep, FreeCodeCamp, and HackerRank have tons of challenges that allow you to practice JavaScript concepts by building mini-projects and solving problems. These hands-on challenges force you to apply what you learn. Source: over 2 years ago
I'm 18M Indian. Growing up I've always been a daydreamer, if you may. Since 8th grade - I'm fascinated by programming. And I'm good at it too. But I'm not cocky too. I wouldn't say I'm at an advanced level, but I can most probably solve any problem - in time - with my skills. I also keep my skills brushed by solving problems on Hacker Rank (every day or alternate days) and try my best to contribute on... Source: almost 3 years ago
AWS IoT - Easily and securely connect devices to the cloud.
LeetCode - Practice and level up your development skills and prepare for technical interviews.
Particle.io - Particle is an IoT platform enabling businesses to build, connect and manage their connected solutions.
Codility - Codility provides a SaaS platform with advanced validation, security and protection features to evaluate the skills of software engineers.
Azure IoT Hub - Manage billions of IoT devices with Azure IoT Hub, a cloud platform that lets you easily connect, monitor, provision, and configure IoT devices.
CodeSignal - CodeSignal is the leading assessment platform for technical hiring.