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Nov 29, 2021

Envision VM (part 3), Atoms and Data Storage

During execution, thunks read input data and write output data, often in large quantities. How to preserve this data from the moment it is created and until it is used (part of the answer is on NVMe drives spread over several machines), and how to minimize the amount of data that goes through channels slower than RAM (network and persistent storage).

Nov 22, 2021

Envision VM (part 2), Thunks and the Execution Model

Like most other parallel execution systems, Envision produces a directed acyclic graph (DAG) where each node represents an operation that needs to be performed, and each edge represents a data dependency where the downstream node needs the output of the upstream node in order to run.

Nov 15, 2021

Envision VM (part 1), Environment and General Architecture

A Supply Chain Optimization pipeline covers a wide range of data processing needs':' data ingestion and augmentation, feature extraction, probabilistic forecasting, producing optimal decisions under constraints, data exports, analytics, and dashboard creation.

May 7, 2021

Why FTP instead of REST

Most web apps feature web APIs styled as REST, yet Lokad features FTPS and SFTP, which may appear surprising. However, this choice is intentional, why did Lokad choose to go this route?

Jan 16, 2020

Why not Python

Envision, the domain-specific language (DSL) of Lokad, was engineered to address challenges where Python will never deliver cost-effective solutions.