Scale Video Processing Applications
We will write and run a full-blown Python image processing application, scaling it using Dis.co. Each participant will have time to experiment with the Dis.co platform, learning how to run compute-intensive jobs and parallelize them with ease.
In this tutorial, we will also experiment with Dis.co parallelization platform in a fun yet educating way.
We knew there was something more to the cloud, so we went and built it.
Dis.co is the next generation of serverless computing. Whether your jobs are periodic or ongoing, you need responsive compute capable of handling your most demanding workloads. Dis.co scales on-demand to expedite results and reduces the costs related to compute-intensive tasks such as Natural Language Processing (NLP), ETL, Image and Video Processing, Gene Sequencing, and more.
Our mission is to create a simple, secured, scalable computing service based on the following three principles:
Optimize Use of Existing Resources
Why build more data centers and use more energy when we can save Earth’s resources by tapping into the surplus of today’s existing technology?
Why complicate data processing when we can provide a simple, intuitive service to expedite the processes you want to execute?
Grow Serverless Computing
Why worry about managing servers and capacity when we can manage everything for you and provide faster results?