Enhancing Streaming and Request Handling Efficiency with gRPC and Coroutines: Part 2
Explore how to handle thousands of workers (2,160 and growing) using gRPC, coroutines, and asynchronous communication.
Synerise Team
Synerise Introduces Cleora.ai 2.0: Redefining Entity Representation Learning
Synerise is thrilled to announce the release of Cleora.ai 2.0, the latest version of our cutting-edge, open-source solution for scalable and efficient entity representation learning.
Enhancing Streaming and Request Handling Efficiency with gRPC and Coroutines: Part 1
In this article, we dive deep into the technical challenges and solutions behind building a gateway server capable of handling millions of requests per minute.
AI for good: Cleora.AI created by Synerise in Biomedical Sciences.
Artificial Intelligence for drug development in medicine is very hot topic nowadays - which definitely will revolutionize this market segment in the next few years. How can we support this transformation by open sourcing top-notch AI solution which we created in Synerise?
"Drug companies look to AI to end
Boosting TerrariumDB: The Journey of Integrating SQL for Enhanced Analytics
Enhancing the capabilities of TerrariumDB, a real-time, schema-less database engine, is our top priority. Currently, our analytics backend relies on a JSON-based API, which proves vital on a daily basis. However, we are excited to announce the integration of SQL support, paving the way for a future of expanded functionality
Implementing native gRPC load balancing with Kubernetes
Last year, in the Terrarium Team we’ve decided to migrate our internal network communication from REST and WebSockets to gRPC. TerrariumDB is a distributed database system so choosing the right protocol can significantly improve its performance, similar to how optimizing code or algorithms can bring about similar benefits. Our
Synerise Terrarium DB - a massive scale in-memory & disk storage built from scratch
Terrarium is a column and row store engine designed specifically for behavioral intelligence, real-time data processing, and is the core of the Synerise platform. It simultaneously processes data heavy analytics while executing various business scenarios in real-time.
TerrariumDB: Enhancing Performance by optimizing QT Library during OS migration
In TerrariumDB team we are always trying to use the latest and safest technologies in order to provide our clients with the best user experience and best efficiency.
Boosting Efficiency: Terrarium Team Slashes Disk and RAM Usage by 20%
I was a fresh-faced newcomer to the tech world when I joined Synerise 1.5 years ago, with no commercial experience and just a few small projects done by myself.
Enhanced node synchronization with Binlogs for reliable data handling
In the TerrariumDB, we have three types of nodes: Agent, Gateway (we named it ScorpIO), and Controller:
* A Controller is responsible for the configuration of Agent nodes and Gateway and handles transactions,
* An Agent is responsible for managing data storage and executing crucial compute operations for optimal performance
* ScorpIO is