The Netflix TechBlog

SEPTEMBER 10, 2024

Dynomite is a Netflix open source wrapper around Redis that provides a few additional features like auto-sharding and cross-region replication, and it provided Pushy with low latency and easy record expiry, both of which are critical for Pushy’s workload. As Pushy’s portfolio grew, we experienced some pain points with Dynomite.

Latency 230

Latency Cache Tuning Efficiency 230

The Netflix TechBlog

MARCH 7, 2024

Since then, open-source Metaflow has gained support for Argo Workflows , a Kubernetes-native orchestrator, as well as support for Airflow which is still widely used by data engineering teams. Deployment: Cache To produce business value, all our Metaflow projects are deployed to work with other production systems.

Systems 231

Systems Media Cache Open Source 231

The Netflix TechBlog

JULY 21, 2022

Since memory management is not something one usually associates with classification problems, this blog focuses on formulating the problem as an ML problem and the data engineering that goes along with it. Some nuances while creating this dataset come from the on-field domain knowledge of our engineers.

Big Data 184

Big Data Cache Engineering Data Engineering 184

InfoQ

JULY 3, 2023

LinkedIn introduced Couchbase as a centralized caching tier for scaling member profile reads to handle increasing traffic that has outgrown their existing database cluster. The new solution achieved over 99% hit rate, helped reduce tail latencies by more than 60% and costs by 10% annually. By Rafal Gancarz

Cache 85

Cache Latency Traffic Database 85

Abhishek Tiwari

DECEMBER 27, 2017

A unified data management (UDM) system combines the best of data warehouses, data lakes, and streaming without expensive and error-prone ETL. It offers reliability and performance of a data warehouse, real-time and low-latency characteristics of a streaming system, and scale and cost-efficiency of a data lake.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

The Netflix TechBlog

JANUARY 6, 2025

Batch processing data may provide a similar impact and take significantly less time. Its easier to develop and maintain, and tends to be more familiar for analytics engineers, data scientists, and data engineers. Align on Performance Expectations A major challenge during development was managing API latency.

Analytics 199

Analytics Engineering Cache Entertainment 199