O'Reilly Software

APRIL 4, 2018

Considerations for setting the architectural foundations for a fast data platform. Google was among the pioneers that created “web scale” architectures to analyze the massive data sets that resulted from “crawling” the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. Back in the days of Web 1.0,

Architecture 80

Architecture Scalability Google Operating System 80

ScaleOut Software

JULY 14, 2021

The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes. Acting as a switchboard for incoming and outgoing messages, Azure IoT Hub forms the core of these capabilities. Azure digital twins serve a different purpose.

IoT 52

IoT Azure Analytics Serverless 52

The Netflix TechBlog

JULY 26, 2021

Netflix is known for its loosely coupled microservice architecture and with a global studio footprint, surfacing and connecting the data from microservices into a studio data catalog in real time has become more important than ever. In the initial stage, data consumers set up ETL pipelines directly pulling data from databases.

Big Data 253

Big Data Government Analytics Processing 253

Alex Russell

MARCH 6, 2021

Sadly, data on latency is harder to get, even from Google's perch, so progress there is somewhat more difficult to judge. One subtle effect of browser attempts to avoid showing users blank white screens is that optimisations meant to hide latency from users may cause misattribution by users in cross-site flows.

Performance 124

Performance Network Cache Metrics 124

All Things Distributed

DECEMBER 5, 2010

While registrars manage the namespace in the DNS naming architecture, DNS servers are used to provide the mapping between names and the addresses used to identify an access point. Authoritative servers hold the definitive mappings. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications.

Cloud 117

Cloud Internet Internet AWS 117

The Netflix TechBlog

JANUARY 10, 2024

Since then, the video pipeline has undergone substantial improvements and broad expansions: Starting with Standard Dynamic Range (SDR) at Standard-Definitions , we expanded the encoding pipeline to 4K and High Dynamic Range (HDR) which enabled support for our premium offering. divide the input video into small chunks 2.

Processing 229

Processing Media Latency Innovation 229

All Things Distributed

JULY 14, 2015

I am excited to share with you that today we are expanding DynamoDB with streams, cross-region replication, and database triggers. In traditional database architectures, database engines often run a small search engine or data warehouse engines on the same hardware as the database. DynamoDB Triggers.

Database 167

Database Lambda AWS IoT 167

O'Reilly Software

MARCH 7, 2018

Build a more scalable, composable, and functional architecture for interconnecting systems and applications. In addition to that, software is increasingly dependent on other software to provide its functionality, be it WebServices, HTTP APIs, databases, or even external devices such as sensors. People forgot what SOA stands for.

Transportation 72

Transportation Java Programming Architecture 72

The Netflix TechBlog

SEPTEMBER 3, 2021

Remote calls are never free; they impose extra latency, increase probability of an error, and consume network bandwidth. By default, gRPC uses protobuf as its IDL (interface definition language) and data serialization protocol. Our protobuf message definition (.proto FieldMask is a protobuf message.

Design 245

Design Java Efficiency Code 245

The Netflix TechBlog

JUNE 13, 2023

Migrating Critical Traffic At Scale with No Downtime — Part 2 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Picture yourself enthralled by the latest episode of your beloved Netflix series, delighting in an uninterrupted, high-definition streaming experience.

Traffic 279

Traffic Metrics Systems Strategy 279

The Netflix TechBlog

DECEMBER 21, 2020

This article will list some of the use cases of AutoOptimize, discuss the design principles that help enhance efficiency, and present the high-level architecture. These principles reduce resource usage by being more efficient and effective while lowering the end-to-end latency in data processing. Transparency to end-users.

Storage 203

Storage Latency Efficiency Data Engineering 203

The Netflix TechBlog

FEBRUARY 9, 2021

In particular, we’ll define plans and offers, review the legacy architecture and some of its shortcomings, and dig into our new architecture and some of its advantages. Plans & Offers Definitions Let’s define what a plan and an offer is at Netflix. The database contains the plans, prices and offers.

Engineering 142

Engineering Scalability Architecture Innovation 142

SQL Server According to Bob

JANUARY 11, 2020

Microsoft SQL Server I/O Basics Author: ​​ Bob Dorr, Microsoft SQL Server Escalation Published: ​​ December, 2004 SUMMARY: ​​ Learn the I/O requirements for Microsoft SQL Server database file operations. This will help you increase system performance and avoid I/O environment errors.

Servers 40

Servers Cache Media Hardware 40

Smashing Magazine

JANUARY 6, 2020

Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms. Designed for the modern web, it responds to actual congestion, rather than packet loss like TCP does, it is significantly faster , with higher throughput and lower latency — and the algorithm works differently.

Performance 145

Performance Cache Network Metrics 145

The Netflix TechBlog

AUGUST 13, 2020

For example, a latency increase is less critical than error rate increase and some error codes are less critical than others. Causes such as an outlier instance, a canary or deployment by a dependent service, an unhealthy database, or just a spike in traffic. Client metrics and QoE changes. Alerts triggered by our alerting platform.

Monitoring 210

Monitoring Tuning Traffic Metrics 210

Smashing Magazine

JANUARY 7, 2019

Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms. Keeping progressive enhancement as the guiding principle of your front-end architecture and deployment is a safe bet. Consider using PRPL pattern and app shell architecture. Use progressive enhancement as a default.

Performance 103

Performance Cache Metrics Network 103