Netflix shows the process of implementing Fact Store explaining design evolution and how they monitor the quality of data. And giving conclusions f.e. to avoid premature optimization in designing.
AutoML automatically trains models on a data set and generates customizable source code, significantly reducing the time-to value of ML projects. Beginner and expert data scientists can get their ML models to production faster.
The goal of Project Tardigrade is to provide an “out of the box” solution for the problems mentioned above. We’ve designed a new fault-tolerant execution architecture that allows us to implement an advanced resource-aware scheduling with granular retries.
During a developer keynote at Google I/O 2022, Google unveiled Cloud Run jobs, an extension of Google Cloud’s service for developing and deploying containerized apps using languages including Go, Python and Java.
Tool that will give you the ability to write SQL-based queries to explore dynamic data. Mods extend Steampipe's capabilities with dashboards, reports, and controls built with simple HCL.
Pretty smart tool preventing cloud misconfigurations during build-time for Terraform, CloudFormation, Kubernetes, Serverless framework and other infrastructure-as-code-language. Takes time to tune but it’s useful.
This time the topic will be: the architecture of mobile solutions. Gonna be two presentations: Why M1 is so fast? Payment module. How to gather bricks and build the whole construction.