Remove Latency Remove Network Remove Presentation Remove Processing
article thumbnail

Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

article thumbnail

The Three Cs: Concatenate, Compress, Cache

CSS Wizardry

In this post, I’m going to break these processes down into each of: ? Compressing them over the network: Which compression algorithm, if any, will we use? Plotted on the same horizontal axis of 1.6s, the waterfalls speak for themselves: 201ms of cumulative latency; 109ms of cumulative download. That’s almost 22× more!

Cache 291
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

Consistent caching mechanism in Titus Gateway

The Netflix TechBlog

In the time since it was first presented as an advanced Mesos framework, Titus has transparently evolved from being built on top of Mesos to Kubernetes, handling an ever-increasing volume of containers. This blog post presents how our current iteration of Titus deals with high API call volumes by scaling out horizontally.

Cache 224
article thumbnail

Optimize your environment: Unveiling Dynatrace Hyper-V extension for enhanced performance and efficient troubleshooting

Dynatrace

Firstly, managing virtual networks can be complex as networking in a virtual environment differs significantly from traditional networking. This presents a challenge for IT operations teams, specifically in identifying and addressing performance issues or planning how to prevent future issues.

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. Meanwhile, Hans-Jürgen Schönig’s presentation , which brought up the old discussion of Unix socket vs. TCP/IP connection, triggered me to write about other aspects of network impact on performance.

Network 61
article thumbnail

Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

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. It can achieve impressive performance, handling up to 50 million operations per second.

Metrics 130
article thumbnail

Mastering MongoDB® Timeout Settings

Scalegrid

MongoDB drivers provide several options for Mongo clients to handle different network timeout errors that may occur during usage. The default time-outs can significantly influence the behavior of your application when there are network errors. x+ in Java).

Java 130