article thumbnail

For your eyes only: improving Netflix video quality with neural networks

The Netflix TechBlog

Recently, we added another powerful tool to our arsenal: neural networks for video downscaling. In this tech blog, we describe how we improved Netflix video quality with neural networks, the challenges we faced and what lies ahead. How can neural networks fit into Netflix video encoding?

Network 292
article thumbnail

How To Measure the Network Impact on PostgreSQL Performance

Percona

We often forget or take for granted the network hops involved and the additional overhead it creates on the overall performance. TCP/IP connection, triggered me to write about other aspects of network impact on performance. How to detect and measure the impact There is no easy mechanism for measuring the impact of network overhead.

Network 61
Insiders

Sign Up for our Newsletter

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

Trending Sources

article thumbnail

Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

This introductory blog focuses on an overview of our journey. Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. This architecture shift greatly reduced the processing latency and increased system resiliency. divide the input video into small chunks 2.

article thumbnail

Consistent caching mechanism in Titus Gateway

The Netflix TechBlog

This blog post presents how our current iteration of Titus deals with high API call volumes by scaling out horizontally. In that scenario, the system would need to deal with the data propagation latency directly, for example, by use of timeouts or client-originated update tracking mechanisms. How do I know that my cache is up to date?

Cache 224
article thumbnail

Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

This blog post lists the important database metrics to monitor. Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities.

Metrics 130
article thumbnail

Migrating Netflix to GraphQL Safely

The Netflix TechBlog

This blog post will share broadly-applicable techniques (beyond GraphQL) we used to perform this migration. To determine customer impact, we could compare various metrics such as error rates, latencies, and time to render. This blog post is part of our Migrating Critical Traffic series.

Traffic 353
article thumbnail

Dynatrace Managed turnkey Premium High Availability for globally distributed data centers (Early Adopter)

Dynatrace

The network latency between cluster nodes should be around 10 ms or less. Minimized cross-data center network traffic. For Premium HA, this has been extended from 10 ms latency (in the same network region) to around 100 ms network latency due to asynchronous data replication between regions.