Cloud Devs Reviews

1. Siro Chan

   about 5 years ago
   Fine collection of free 3D images

   3D Bay has a wide selection of high-quality 3D images for download. It's completely free to use. Adding to my bookmarks now!

   🏁 Competitors: 3dcart

   👍 Pros:    High quality|Wide range of choices|Royalty-free

   👎 Cons:    More categories should be added
2. david millergm

   · Business Development Manager at SeatGeek · over 5 years ago
   Flexible and reliable

   I've been working with Clouddevs for almost an year now, but it feels like more. It has been a delight to work on many projects, all of them with high-end tech and great people. There is always opportunity to improve and push myself further. I can make my own hours, respecting the clients needs. Never had a delay with payments.

   🏁 Competitors: Toptal

   👍 Pros:    Super fast|Quick response time from developers|Excellent support
3. hollomonmarilynn

   · Customer Success Manager at Instacart · over 5 years ago
   Awesome developers.

   Despite not being their usual area of expertize, Cloud devs found a suitable developer quickly and ensured the project could be completed to a high standard. They worked remotely, maintaining regular contact and meeting in-person monthly to ensure all goals aligned.

   🏁 Competitors: Toptal

   👍 Pros:    Quality|Quick response time from developers|Best customer service

AWS Greengrass Reviews

Cloud Devs mentions (14)

• Tests and Coverage in Dart

  Test-Driven Development with Dart: Ensuring Code Quality by CloudDevs. - Source: dev.to / 2 months ago

• Work from Home Permanently? These 10 Companies are Hiring Now!

  Some great opportunities here! clouddevs.com and unicorn.dev are also great places to find remote work for peeps in LATAM and ASIA. Source: about 3 years ago

• I am a developer with over 6 years of experience with React. What would be the best place to get related jobs?

  Cloud devs - https://clouddevs.com/ - apply to be a Latin Am. contractor. Source: over 3 years ago

• Devs of reddit making 6 figures salary, what has your journey been like?

  You have to use the years to build a strong portfolio, expand your skill sets and apply for higher paying jobs. I work a side hustle at clouddevs.com to make this mark combined with my day job. I'm from Asia. Trust in some parts of the world a 6-figure salary could be for an entry level dev as well. Source: over 3 years ago

• 📢 Lemon .io is hiring a DevOps Engineer!

  Clouddevs.com is hiring devs located in Asia and the LatAms. Source: over 3 years ago

AWS Greengrass mentions (6)

• Key Features of AWS IoT Greengrass

  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

• Orchestrating Application Workloads in Distributed Embedded Systems: Setting up a Nomad Cluster with AWS IoT Greengrass - Part 1

  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 Summit 2022 Australia and New Zealand - Day 2, AI/ML Edition

  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

• Applying DevOps Principles to Robotics

  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

• Machine Learning Best Practices for Public Sector Organizations

  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