O'Reilly

FEBRUARY 18, 2020

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. The shift to cloud native design is transforming both software architecture and infrastructure and operations. Coincidence? This follows a 3% drop in 2018.

Software Architecture 136

Software Architecture DevOps Data Engineering Architecture 136

The Netflix TechBlog

DECEMBER 21, 2020

By Anupom Syam Background At Netflix, our current data warehouse contains hundreds of Petabytes of data stored in AWS S3 , and each day we ingest and create additional Petabytes. Some of the optimizations are prerequisites for a high-performance data warehouse. Transparency to end-users.

Storage 209

Storage Latency Efficiency Data Engineering 209

The Netflix TechBlog

MARCH 25, 2019

Finally, imagine yourself in the role of a data platform reliability engineer tasked with providing advanced lead time to data pipeline (ETL) owners by proactively identifying issues upstream to their ETL jobs. Design a flexible data model ? —?Represent Enable seamless integration?—? push or pull.

Infrastructure 223

Infrastructure Big Data Transportation Architecture 223

The Netflix TechBlog

MAY 26, 2020

Service Segmentation: The ease of the cloud deployments has led to the organic growth of multiple AWS accounts, deployment practices, interconnection practices, etc. VPC Flow Logs VPC Flow Logs is an AWS feature that captures information about the IP traffic going to and from network interfaces in a VPC.

Network 152

Network Tuning AWS Traffic 152

The Netflix TechBlog

SEPTEMBER 10, 2024

Where aws ends and the internet begins is an exercise left to the reader. To support this growth, we’ve revisited Pushy’s past assumptions and design decisions with an eye towards both Pushy’s future role and future stability. This initial functionality was built out for FireTVs and was expanded from there.

Latency 228

Latency Cache Tuning Efficiency 228

Abhishek Tiwari

JULY 7, 2023

Airflow provides rich scheduling and execution semantics enabling data engineers to easily define complex pipelines, running at regular intervals. While data pipelines excel at handling data transformations and aggregations, they may not be the most suitable solution for all scenarios.

Logistics 52

Logistics Transportation Scalability Data Engineering 52

The Netflix TechBlog

OCTOBER 18, 2022

As the usage increased, we had to vertically scale the system to keep up and were approaching AWS instance type limits. increasing at > 100% a year, the need for a scalable data workflow orchestrator has become paramount for Netflix’s business needs. Meson was based on a single leader architecture with high availability.

Java 208

Java Scalability Traffic Architecture 208

The Symphonia

JUNE 19, 2018

I was fortunate to be both presenting a 2-day workshop (on AWS Serverless Architectures and Continuous Deployment) as well as hosting a full-day Serverless track of talks. This has proved especially true in the last couple of months, as we helped a company update it’s entire AWS infrastructure in a number of critical ways. Great stuff!

Serverless 40

Serverless AWS DevOps Open Source 40

InfoQ

DECEMBER 29, 2023

Zendesk reduced its data storage costs by over 80% by migrating from DynamoDB to a tiered storage solution using MySQL and S3. The company considered different storage technologies and decided to combine the relational database and the object store to strike a balance between querybility and scalability while keeping the costs down.

Storage 137

Storage Scalability Database Technology 137

All Things Distributed

NOVEMBER 15, 2016

As I mentioned, we live in a world where massive volumes of data are being generated, every day, from connected devices, websites, mobile apps, and customer applications running on top of AWS infrastructure. Auto-discovery : One of the challenges with BI is discovering and accessing the data.

Analytics 141

Analytics Availability Media Social Media 141