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 219

Infrastructure Big Data Transportation Architecture 219

The Netflix TechBlog

APRIL 29, 2019

Python has long been a popular programming language in the networking space because it’s an intuitive language that allows engineers to quickly solve networking problems. Demand Engineering Demand Engineering is responsible for Regional Failovers , Traffic Distribution, Capacity Operations and Fleet Efficiency of the Netflix cloud.

Open Source 279

Open Source Network Infrastructure Big Data 279

Dynatrace

SEPTEMBER 15, 2020

Without automation, Performance engineers and developers can no longer ensure that applications perform as planned, and costs are minimized.”. The integration with Dynatrace has two sides: first, it pulls metrics from Dynatrace while Akamas is executing an experiment. or do you pull different percentiles?

Performance 192

Performance Java Metrics Cloud 192

The Netflix TechBlog

SEPTEMBER 10, 2019

ABlaze: The standard view of analyses in the XP UI Suppose you’re running a new video encoding test and theorize that the two new encodes should reduce play delay, a metric describing how long it takes for a video to play after you press the start button. Our data scientists faced numerous challenges in our previous infrastructure.

Metrics 215

Metrics Architecture Infrastructure Innovation 215

Dynatrace

JULY 6, 2020

Our customers have frequently requested support for this first new batch of services, which cover databases, big data, networks, and computing. Database-service views provide all the metrics you need to set up high-performance database services. See the health of your big data resources at a glance.

Azure 151

Azure Cloud Big Data Virtualization 151

Dynatrace

DECEMBER 15, 2022

ITOps teams use more technical IT incident metrics, such as mean time to repair, mean time to acknowledge, mean time between failures, mean time to detect, and mean time to failure, to ensure long-term network stability. In general, you can measure the business value of ITOps by evaluating the following: Usability. ITOps vs. AIOps.

Artificial Intelligence 211

Artificial Intelligence DevOps Hardware Virtualization 211

Dynatrace

JANUARY 16, 2023

Most Kubernetes clusters in the cloud (73%) are built on top of managed distributions from the hyperscalers like AWS Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE). In general, metrics collectors and providers are most common, followed by log and tracing projects.

Open Source 349

Open Source Java Operating System Programming 349

DZone

AUGUST 4, 2022

Spark-Radiant will help optimize performance and cost considering catalyst optimizer rules, enhance auto-scaling in Spark, collect important metrics related to a Spark job, Bloom filter index in Spark, etc. Spark-Radiant is Apache Spark Performance and Cost Optimizer. Spark-Radiant is now available and ready to use.

Performance 246

Performance Metrics Availability Big Data 246

The Netflix TechBlog

SEPTEMBER 18, 2020

—?and what the role entails by Julie Beckley & Chris Pham This Q&A provides insights into the diverse set of skills, projects, and culture within Data Science and Engineering (DSE) at Netflix through the eyes of two team members: Chris Pham and Julie Beckley. Photo from a team curling offsite?—?There’s There’s us to the right!

Analytics 223

Analytics Education Innovation Engineering 223

Dynatrace

OCTOBER 14, 2021

Gartner defines AIOps as the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.” This means data sources typically come from disparate infrastructure monitoring tools and second-generation APM solutions.

Artificial Intelligence 221

Artificial Intelligence DevOps Innovation Metrics 221

The Netflix TechBlog

JUNE 7, 2021

Berkeley Packet Filter (BPF) is an in-kernel execution engine that processes a virtual instruction set, and has been extended as eBPF for providing a safe way to extend kernel functionality. The Flow Exporter also publishes various operational metrics to Atlas. What is BPF? So how do we ingest and enrich these flows at scale ?

Network 325

Network Transportation AWS Cloud 325

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. The four stages of data processing. The deviating metric is response time. This is now the starting node in the tree.

DevOps 205

DevOps Artificial Intelligence Healthcare Innovation 205

Scalegrid

MARCH 14, 2024

Workloads from web content, big data analytics, and artificial intelligence stand out as particularly well-suited for hybrid cloud infrastructure owing to their fluctuating computational needs and scalability demands.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

The Netflix TechBlog

MARCH 2, 2021

At Netflix, our data scientists span many areas of technical specialization, including experimentation, causal inference, machine learning, NLP, modeling, and optimization. Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group.

Analytics 207

Analytics C++ Innovation Engineering 207

Dynatrace

JUNE 1, 2020

With our AI engine, Davis, at the core Dynatrace provides precise answers in real-time. Dynatrace provides out-of-the box complete observability for dynamic cloud environment, at scale and in-context, including metrics, logs, traces, entity relationships, UX and behavior in a single platform. Advanced Cloud Observability.

Artificial Intelligence 184

Artificial Intelligence Social Media Monitoring IoT 184

Dynatrace

JUNE 29, 2022

A hybrid cloud, however, combines public infrastructure and services with on-premises resources or a private data center to create a flexible, interconnected IT environment. Hybrid environments provide more options for storing and analyzing ever-growing volumes of big data and for deploying digital services.

Infrastructure 190

Infrastructure Cloud Azure AWS 190

Dynatrace

JUNE 1, 2020

With our AI engine, Davis, at the core Dynatrace provides precise answers in real-time. Dynatrace provides out-of-the box complete observability for dynamic cloud environment, at scale and in-context, including metrics, logs, traces, entity relationships, UX and behavior in a single platform. Advanced Cloud Observability.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

All Things Distributed

NOVEMBER 15, 2016

They require teams of data engineers to spend months building complex data models and synthesizing the data before they can generate their first report. The cost and complexity to implement, scale, and use BI makes it difficult for most companies to make data analysis ubiquitous across their organizations.

Analytics 152

Analytics Availability Media Social Media 152

Rigor

SEPTEMBER 11, 2019

Reading time 16 min Whether you’re a web performance expert, an evangelist for the culture of performance, a web engineer incorporating performance into your process, or someone new to the web performance entirely, you probably identify as curious, excited about new ideas, and always learning. Rick Byers. Rick Byers. Sergey Chernyshev.

Performance 89

Performance Education Google Website 89

Rigor

JANUARY 13, 2020

When it comes to web content, you can easily find what you need through many different paths, from search engines and social media to playlists and blogs, jumping from one source to another with just a tap of a finger. How to pioneer new metrics and create a culture of performance. Time is Money. High Performance Websites.

Performance 75

Performance Social Media Website Website Performance 75

Highly Scalable

MARCH 10, 2015

Although these problems are very different, we are trying to establish a common framework that helps to design optimization and data mining tasks required for solutions. Moreover, gross margin is not the only performance metric that is important for retailers. The gross margin metric, in the sense it is used in the equations (1.2)

Retail 152

Retail C++ Analytics Metrics 152

Smashing Magazine

JULY 29, 2019

This metric is a little difficult to comprehend, so here’s an example: if the average cost of broadband packages in a country is $22, and the average download speed offered by the packages is 10 Mbps, then the cost ‘per megabit per month’ would be $2.20. For reference, the metric is $1.19 in the UK and $1.26 in the USA.

Cache 96

Cache Google Mobile Network 96