Remove Exercise Remove Metrics Remove Processing
article thumbnail

Ensuring the Successful Launch of Ads on Netflix

The Netflix TechBlog

Next, we launched a Mantis job that processed all requests in the stream and replayed them in a duplicate production environment created for replay traffic. The Mantis query language allowed us to set the percentage of replay traffic to process. We continued ramping up and eventually reached 100% replay.

Traffic 349
article thumbnail

MezzFS?—?Mounting object storage in Netflix’s media processing platform

The Netflix TechBlog

—?Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. Encoding is not a one-time process?—?large We have one file?—?the

Media 218
Insiders

Sign Up for our Newsletter

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

article thumbnail

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

The Netflix TechBlog

The second phase involves migrating the traffic over to the new systems in a manner that mitigates the risk of incidents while continually monitoring and confirming that we are meeting crucial metrics tracked at multiple levels. This approach has a handful of benefits.

Traffic 347
article thumbnail

AWS and Dynatrace automation hit the jackpot at Perform Las Vegas

Dynatrace

Across the two days, there were sixteen new sessions – delivered for the first time – based on content derived from lab exercises developed and delivered by working with Dynatrace experts and our Partner communicate to showcase Dynatrace’s newest features. You can see a similar automation process on this GitHub repo.

AWS 245
article thumbnail

Seven benefits of AIOps to transform your business operations

Dynatrace

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. To achieve these AIOps benefits, comprehensive AIOps tools incorporate four key stages of data processing: Collection. What is AIOps, and how does it work?

article thumbnail

Service level objectives: 5 SLOs to get started

Dynatrace

Certain SLOs can help organizations get started on measuring and delivering metrics that matter. Response time Response time refers to the total time it takes for a system to process a request or complete an operation. This SLO enables a smooth and uninterrupted exercise-tracking experience. or above for the checkout process.

Latency 245
article thumbnail

Real user monitoring vs. synthetic monitoring: Understanding best practices

Dynatrace

Real user monitoring (RUM) is a performance monitoring process that collects detailed data about users’ interactions with an application. RUM gathers information on a variety of performance metrics. RUM is ideally suited to provide real metrics from real users navigating a site or application. What is real user monitoring?