The Netflix TechBlog

OCTOBER 28, 2021

During earlier years of my career, I primarily worked as a backend software engineer, designing and building the backend systems that enable big data analytics. I developed many batch and real-time data pipelines using open source technologies for AOL Advertising and eBay.

Data Engineering 181

Data Engineering Engineering Big Data Software Engineering 181

Dynatrace

OCTOBER 4, 2022

A data lakehouse provides a cost-effective storage layer for both structured and unstructured data. Therefore, it contains all of an organization’s data. Generally, the storage technology categorizes data into landing, raw, and curated zones depending on its consumption readiness. Data management.

Artificial Intelligence 246

Artificial Intelligence Storage Analytics Government 246

Dynatrace

JUNE 26, 2023

Software analytics offers the ability to gain and share insights from data emitted by software systems and related operational processes to develop higher-quality software faster while operating it efficiently and securely. This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI.

Software 246

Software Software Analytics Big Data 246

DZone

JULY 22, 2022

If you are someone who likes to stay updated with technology, there's a high probability you have come across these two terms- API and EDI. Honestly, these two terms have recently been doing rounds in the big data world.

Big Data 188

Big Data Technology Technology Systems 188

The Netflix TechBlog

JULY 15, 2021

I was later hired into my first purely data gig where I was able to deepen my knowledge of big data. After that, I joined MySpace back at its peak as a data engineer and got my first taste of data warehousing at internet-scale. In the data engineering space, very little of the same technology remains.

Data Engineering 197

Data Engineering Engineering Entertainment Big Data 197

Dynatrace

SEPTEMBER 15, 2020

I sat down with Stefano to answer the incoming questions offline and now using the rest of the blog to bring those answers to you: Q1: What type of technologies does Akamas support? Akamas is a flexible optimization platform and optimizes many market-leading technologies thanks to its Optimization Pack library.

Performance 260

Performance Java Metrics Cloud 260

DZone

DECEMBER 28, 2020

The introduction of innovative technologies has brought the newest updates in software testing, development, design, and delivery. Nowadays, Big Data tests mainly include data testing, paving the way for the Internet of Things to become the center point. Besides, AI and ML seem to reach a new level.

Software 193

Software Software Testing Big Data 193

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. Use the technology overview and filter for Azure to access all newly added databases across all subscriptions. See the health of your big data resources at a glance.

Azure 227

Azure Cloud Big Data Virtualization 227

Dynatrace

OCTOBER 25, 2022

“AIOps platforms address IT leaders’ need for operations support by combining big data and machine learning functionality to analyze the ever-increasing volume, variety and velocity of data generated by IT in response to digital transformation.” – Gartner Market Guide for AIOps platforms.

DevOps 246

DevOps Big Data Cloud Innovation 246

Dynatrace

OCTOBER 4, 2022

Stop worrying about log data ingest and storage — start creating value instead. Dynatrace® Grail , an additional core technology for the Dynatrace® Software Intelligence platform , is the world’s first data lakehouse with massively parallel processing (MPP) for context-rich observability, business, and security analytics.

Analytics 264

Analytics Artificial Intelligence Storage Serverless 264

Dynatrace

DECEMBER 15, 2022

As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. Complex cloud computing environments are increasingly replacing traditional data centers. In fact, Gartner estimates that 80% of enterprises will shut down their on-premises data centers by 2025. So, what is ITOps?

Artificial Intelligence 246

Artificial Intelligence DevOps Hardware Virtualization 246

Dynatrace

AUGUST 10, 2021

Carrie called out how at Dynatrace we know it takes a village to achieve the extraordinary, from innovating reliable digital services at speed to learning how to adapt and thrive while managing our increasingly complex, dynamic technology environments. Investing in data is easy but using it is really hard”. She wasn’t wrong.

DevOps 246

DevOps Innovation Big Data Cloud 246

Dynatrace

MARCH 24, 2023

Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services. Apache Mesos with the Marathon DC/OS is popular for large-scale production clusters running existing workloads on big data systems, such as Hadoop, Kafka, and Spark.

Infrastructure 246

Infrastructure Open Source Operating System Cloud 246

Dynatrace

MARCH 14, 2022

Every day, healthcare organizations across the globe have embraced innovative technology to streamline the delivery of patient care. Many hospitals adopted telehealth and other virtual technology to deliver care and reduce the spread of disease. During the early months of the COVID-19 pandemic, this trend was undeniably apparent.

Healthcare 246

Healthcare Artificial Intelligence Innovation Strategy 246

The Netflix TechBlog

MARCH 25, 2019

Netflix Data Landscape Freedom & Responsibility (F&R) is the lynchpin of Netflix’s culture empowering teams to move fast to deliver on innovation and operate with freedom to satisfy their mission. Netflix’s diverse data landscape made it challenging to capture all the right data and conforming it to a common data model.

Infrastructure 225

Infrastructure Big Data Transportation Architecture 225

The Netflix TechBlog

SEPTEMBER 18, 2020

I bring my breadth of big data tools and technologies while Julie has been building statistical models for the past decade. A lot of my learning and training was self-guided until 2016, when a manager at my last company took a chance on me and helped me make the rare transfer from a role in HR to Data Science.

Analytics 230

Analytics Education Innovation Engineering 230

The Netflix TechBlog

JULY 26, 2021

The paradigm spans across methods, tools, and technologies and is usually defined in contrast to analytical reporting and predictive modeling which are more strategic (vs. At Netflix Studio, teams build various views of business data to provide visibility for day-to-day decision making. tactical) in nature.

Big Data 257

Big Data Government Processing Analytics 257

The Netflix TechBlog

OCTOBER 27, 2020

Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. The processed data is typically stored as data warehouse tables in AWS S3.

Latency 252

Latency Storage Big Data Tuning 252

All Things Distributed

DECEMBER 13, 2016

Today, I'm happy to announce that the AWS Europe (London) Region, our 16th technology infrastructure region globally, is now generally available for use by customers worldwide. The British Government is also helping to drive innovation and has embraced a cloud-first policy for technology adoption.

AWS 154

AWS Cloud Artificial Intelligence IoT 154

Dynatrace

FEBRUARY 16, 2023

The goal is to turn more data into insights so the whole organization can make data-driven decisions and automate processes. Grail data lakehouse delivers massively parallel processing for answers at scale Modern cloud-native computing is constantly upping the ante on data volume, variety, and velocity.

Analytics 246

Analytics Innovation Metrics Database 246

Dynatrace

JUNE 1, 2020

Application Performance Monitoring and the technologies and use cases it covers, has expanded rapidly. Artificial intelligence for IT operations (AIOps): AIOps platforms combine big data and machine learning functionality to support IT operations. How does Gartner defines Application Performance Monitoring?

Artificial Intelligence 254

Artificial Intelligence Social Media Monitoring IoT 254

DZone

JUNE 6, 2023

The digital transformation of businesses involves the adoption of digital technologies to change the way companies operate and deliver value to their customers. This can include the use of cloud computing, artificial intelligence, big data analytics, the Internet of Things (IoT), and other digital tools.

Artificial Intelligence 130

Artificial Intelligence Systems IoT Testing 130

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 246

Infrastructure Cloud Azure AWS 246

The Netflix TechBlog

MAY 26, 2020

Requirements There are multiple ways you can solve this problem and many technologies to choose from. This means using existing infrastructure and established patterns within the Netflix ecosystem as much as possible and minimizing the introduction of new technologies.

Network 154

Network Tuning AWS Big Data 154

The Netflix TechBlog

JUNE 7, 2021

Netflix software infrastructure is a large distributed ecosystem that consists of specialized functional tiers that are operated on the AWS and Netflix owned services.

Network 327

Network Transportation AWS Cloud 327

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage 130

Storage Systems Big Data Azure 130

The Netflix TechBlog

MAY 4, 2023

Given the scale of the data being generated using replay traffic, we record the responses from the two sides to a cost-effective cold storage facility using technology like Apache Iceberg. This summary provides an excellent high-level view of the analysis and the overall match rate across the production and replay paths.

Traffic 347

Traffic Latency Tuning Systems 347

All Things Distributed

OCTOBER 7, 2015

Big data challenges. Over the last several years, AWS has delivered on a comprehensive set of services to help customers collect, store, and process their growing volume of data. QuickSight is a cloud-native BI service built from the ground up to address the big data challenges around speed, complexity, and cost.

Cloud 112

Cloud Big Data AWS Analytics 112

The Netflix TechBlog

JUNE 20, 2024

To handle errors efficiently, Netflix developed a rule-based classifier for error classification called “Pensive.”

Data Engineering 206

Data Engineering Engineering Entertainment Software Engineering 206

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. By understanding the advantages of deterministic AI, you can choose an AIOps platform that helps you transform faster and achieve autonomous operations.

DevOps 246

DevOps Artificial Intelligence Healthcare Innovation 246

The Netflix TechBlog

JUNE 1, 2021

I personally loved looking at raw data and using it to understand patterns in the world through technology. clinical data was often small enough to fit into memory on an average computer and only in rare cases would its computation require any technical ingenuity or massive computing power. For example?—?clinical

Data Engineering 130

Data Engineering Engineering Big Data Healthcare 130

DZone

MAY 30, 2019

With big data on the rise and data algorithms advancing, the ways in which technology has been applied to real-world challenges have grown more automated and autonomous. This has given rise to a completely new set of computing workloads for Machine Learning which drives Artificial Intelligence applications.

Artificial Intelligence 100

Artificial Intelligence Social Media FinTech Storage 100

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.” Only deterministic AIOps technology enables fully automated cloud operations across the entire enterprise development lifecycle.

Artificial Intelligence 246

Artificial Intelligence DevOps Innovation Metrics 246

All Things Distributed

SEPTEMBER 29, 2016

As a result, more than 80 percent of companies listed on the CAC 40, the French stock market index, are now using AWS Cloud technology to speed their time-to-market, lower their costs, and support their businesses globally. Allez, rendez-vous à Paris – Une nouvelle région AWS arrive en France !

AWS 158

AWS IoT Internet Internet 158

The Netflix TechBlog

JUNE 1, 2021

At Netflix, the work that data engineers do to produce data in a robust, scalable way is incredibly important to provide the best experience to our members as they interact with our service. The prospect was daunting at first. Looking back now, I’m incredibly grateful for the opportunity and glad that I took it.

Data Engineering 139

Data Engineering Engineering Software Engineering Big Data 139

Dynatrace

JUNE 1, 2020

Gartner defines APM as: Application Performance Monitoring and the technologies and use cases it covers, has expanded rapidly. Artificial intelligence for IT operations (AIOps): AIOps platforms combine big data and machine learning functionality to support IT operations.

Monitoring 173

Monitoring Performance Social Media Artificial Intelligence 173

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., ASPLOS’19. The cluster manager may take one of several resource allocation actions depending on the information provided to it by Seer. Distributed tracing and instrumentation.

Big Data 45

Big Data Cloud Performance Hardware 45