Backend

Backend DevOps

Transitioning to Capacity-Based Pricing in Google BigQuery

Discover how migrating from on-demand to capacity-based BigQuery pricing helped us cut costs by 30–40% and eliminate ...

Dominik Szady
DevOps Engineer

Backend

Near Real-Time Document Categorization with Apache Solr and RTB House Percolator Plugin

Streamlining Website Categorization with Apache Solr and RTB House Tools

Igor Makowski
Senior DevOps Engineer

Backend

Avro Custom Logical Types

Get your Apache Avro schema to the next level by using predefined logical types. Go even higher ...

Krzysztof Barczyński

Backend

Processing Geo-Distributed Workloads (Part 1): Distributed Network Logger

Learn about RTB House’s approach to reliable collection of logs from distributed workloads.

Hubert Tarasiuk
Machine Learning Engineer

Backend

A Quick Guide to Optimising Google Pub/Sub with Python

When it comes to squeezing the last drops of performance out of Google Pub/Sub, its official Python ...

Jan Śliski
Python Developer

Backend DevOps Other

OCP vs. Traditional Server Systems

A real-life power consumption comparison of OCP and traditional servers in our infrastructure.

Stanisław Waszkiewicz
Team Leader of Server Infrastructure

Backend

Kafka Workers as an alternative to Kafka Connect

High performance and scalability.

Tomasz Uliński

Backend

Our real-time data processing – part 2

Architecture & lessons learned.

Bartosz Łoś

Backend

Kafka Workers

Yet another real-time processing library?

Bartosz Łoś

Backend

Our real-time data processing – part 1

Architecture & lessons learned.

Bartosz Łoś

Backend

Transitioning to Capacity-Based Pricing in Google BigQuery

Near Real-Time Document Categorization with Apache Solr and RTB House Percolator Plugin

Avro Custom Logical Types

Processing Geo-Distributed Workloads (Part 1): Distributed Network Logger

A Quick Guide to Optimising Google Pub/Sub with Python

OCP vs. Traditional Server Systems

Kafka Workers as an alternative to Kafka Connect

Our real-time data processing – part 2

Kafka Workers

Our real-time data processing – part 1

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