scalac.io

The system should provide a scalable, reliable, and cost-effective cloud infrastructure capable of hosting all existing applications and future workloads. It should offer centralized management, automated deployment, and self-healing capabilities.

The project involves enhancing core LMS functionalities like user and course management, implementing new features, and improving existing ones. A key focus is on data handling and delivery.

The message broker must efficiently manage updates to in-memory data structures, route messages to subscribers based on defined criteria (including wildcard paths), and provide a reliable and scalable communication channel.

The system should provide a streaming ETL pipeline for processing data from the data platform and distributing it to various 3rd party services. It needs to handle variable data volumes, support parallel processing, and offer flexible data output formats.

The system must ingest, store, and process high-volume metrics from connected devices. It needs to support the catalog of DApps and the management of ERC721 tokens.

Development of a distributed storage system for metrics ingestion, processing, and visualization

Core system functionalities for real-time event processing and mobile API integration

Modernized cloud infrastructure with automated deployment and monitoring capabilities

A distributed loan verification system with modular architecture and automated decision-making capabilities

Create hybrid Scala-Java platform with enhanced testing capabilities and modern architecture

Building and maintaining a scalable digital health platform with personalized user experiences

A blockchain data management platform with advanced querying capabilities and automated protocol adaptation

Distributed architecture with intelligent session routing and RESTful API integration

Distributed stream processing system with stateful computation capabilities