article thumbnail

Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. This approach has a handful of benefits.

Traffic 339
article thumbnail

FIFO vs. LIFO: Which Queueing Strategy Is Better for Availability and Latency?

DZone

As an engineer, you probably know that server performance under heavy load is crucial for maintaining the availability and responsiveness of your services. But what happens when traffic bursts overwhelm your system? Queueing requests is a common solution, but what's the best approach: FIFO or LIFO?

Strategy 141
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

The Power of Caching: Boosting API Performance and Scalability

DZone

Benefits of Caching Improved performance: Caching eliminates the need to retrieve data from the original source every time, resulting in faster response times and reduced latency. Reduced server load: By serving cached content, the load on the server is reduced, allowing it to handle more requests and improving overall scalability.

Cache 246
article thumbnail

Bending pause times to your will with Generational ZGC

The Netflix TechBlog

Reduced tail latencies In both our GRPC and DGS Framework services, GC pauses are a significant source of tail latencies. That’s particularly true of our GRPC clients and servers, where request cancellations due to timeouts interact with reliability features such as retries, hedging and fallbacks.

Latency 228
article thumbnail

Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures.

Metrics 130
article thumbnail

How Dynatrace boosts production resilience with Site Reliability Guardian

Dynatrace

While the first guardian validates the traffic, the second guardian checks the business transactions generated during the observation period. In this case, the four golden signals (latency, traffic, errors, and saturation) are derived from span attributes and DQL metric queries via Dynatrace Grail™.

DevOps 186
article thumbnail

How to use Server Timing to get backend transparency from your CDN

Speed Curve

Server-timing headers are a key tool in understanding what's happening within that black box of Time to First Byte (TTFB). Cue server-timing headers Historically, when looking at page speed, we've had the tendency to ignore TTFB when trying to optimize the user experience. I mean, why wouldn't we?

Servers 58