The Netflix TechBlog

MAY 4, 2023

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. The batch job creates a high-level summary that captures some key comparison metrics.

Traffic 347

Traffic Latency Tuning Systems 347

The Netflix TechBlog

JANUARY 13, 2022

The data platform is built on top of several distributed systems, and due to the inherent nature of these systems, it is inevitable that these workloads run into failures periodically. This blog will explore these two systems and how they perform auto-diagnosis and remediation across our Big Data Platform and Real-time infrastructure.

Big Data 242

Big Data Infrastructure Metrics Games 242

The Netflix TechBlog

JUNE 7, 2021

The Flow Exporter also publishes various operational metrics to Atlas. These metrics are visualized using Lumen , a self-service dashboarding infrastructure. After several iterations of the architecture and some tuning, the solution has proven to be able to scale. So how do we ingest and enrich these flows at scale ?

Network 327

Network Transportation AWS Cloud 327

Dynatrace

FEBRUARY 16, 2023

How do you get more value from petabytes of exponentially exploding, increasingly heterogeneous data? The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022.

Analytics 246

Analytics Innovation Metrics Database 246

Dynatrace

SEPTEMBER 15, 2020

If you want to see a more hands-on approach, I encourage you to watch the recording as Stefano did a live demo of Akamas’s integration with Dynatrace, showing how to minimize the footprint of a Java application with automated JVM tuning. Akamas also enables you to automate the analysis of the experiment metrics in powerful ways.

Performance 260

Performance Java Metrics Cloud 260

The Netflix TechBlog

APRIL 29, 2019

One example is the Spectator Python client library, a library for instrumenting code to record dimensional time series metrics. Our Infrastructure Security team leverages Python to help with IAM permission tuning using Repokid. These libraries are the primary way users interface programmatically with work in the Big Data platform.

Open Source 280

Open Source Network Infrastructure Big Data 280

The Netflix TechBlog

MARCH 25, 2019

Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and Efficiency By: Di Lin , Girish Lingappa , Jitender Aswani Imagine yourself in the role of a data-inspired decision maker staring at a metric on a dashboard about to make a critical business decision but pausing to ask a question?—?“Can

Infrastructure 225

Infrastructure Big Data Transportation Architecture 225