Remove Scalability Remove Storage Remove Tuning
article thumbnail

RabbitMQ vs. Kafka: Key Differences

Scalegrid

This decoupling simplifies system architecture and supports scalability in distributed environments. Message brokers handle validation, routing, storage, and delivery, ensuring efficient and reliable communication. Scalability and Redundancy Both Kafka and RabbitMQ are built for scalability and redundancy but take different approaches.

Latency 147
article thumbnail

Title Launch Observability at Netflix Scale

The Netflix TechBlog

The complexity of these operational demands underscored the urgent need for a scalable solution. Additionally, the time-sensitive nature of these investigations precludes the use of cold storage, which cannot meet the stringent SLAs required. Stay tuned for a closer look at the innovation behind thescenes!

Traffic 172
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Optimizing data warehouse storage

The Netflix TechBlog

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 212
article thumbnail

Speed Trino Queries With These Performance-Tuning Tips

DZone

An open-source distributed SQL query engine, Trino is widely used for data analytics on distributed data storage. Optimizing Trino to make it faster can help organizations achieve quicker insights and better user experiences, as well as cut costs and improve infrastructure efficiency and scalability. But how do we do that?

Tuning 162
article thumbnail

Part 1: A Survey of Analytics Engineering Work at Netflix

The Netflix TechBlog

Training: We created easy-to-provide feedback using and with a fully integrated fine-tuning loop to allow end-users to teach new domains and questions around it effectively. LORE also provides a confidence score to our end users based on its grounding in the domainspace.

Analytics 212
article thumbnail

Netflix’s Distributed Counter Abstraction

The Netflix TechBlog

After selecting a mode, users can interact with APIs without needing to worry about the underlying storage mechanisms and counting methods. Let’s examine some of the drawbacks of this approach: Lack of Idempotency : There is no idempotency key baked into the storage data-model preventing users from safely retrying requests.

Latency 251
article thumbnail

Title Launch Observability at Netflix Scale

The Netflix TechBlog

Data storage and distribution through HollowFeeds Netflix Hollow is an Open Source java library and toolset for disseminating in-memory datasets from a single producer to many consumers for high performance read-only access. Conclusion Throughout this series, weve explored the journey of enhancing title launch observability at Netflix.

Traffic 180