High Scalability

MARCH 30, 2020

T riplebyte lets exceptional software engineers skip screening steps at hundreds of top tech companies like Apple, Dropbox, Mixpanel, and Instacart. Level up on in-demand technologies and prep for your interviews on Educative.io, featuring popular courses like the bestselling Grokking the System Design Interview. Apply here.

Education 105

Education Software Engineering Engineering Big Data 105

O'Reilly

FEBRUARY 2, 2020

On one hand, ops groups are in a good position to do this; they’re already heavily invested in testing, monitoring, version control, reproducibility, and automation. This changes what we mean by “monitoring.” They also need to be monitored for fairness and bias, which can certainly creep in after deployment.

Software Architecture 68

Software Architecture Monitoring Software Engineering Architecture 68

The Netflix TechBlog

NOVEMBER 22, 2019

This entertaining romp through the tech stack serves as an introduction to how we think about and design systems, the Netflix approach to operational challenges, and how other organizations can apply our thought processes and technologies. Technology advancements in content creation and consumption have also increased its data footprint.

AWS 37

AWS Entertainment Open Source Benchmarking 37

Abhishek Tiwari

FEBRUARY 26, 2020

The evolution of your technology architecture should depend on the size, culture, and skill set of your engineering organization. There are no hard-and-fast rules to figure out interdependency between technology architecture and engineering organization but below is what I think can really work well for product startup.

Technology 81

Technology Technology Architecture Engineering 81

Abhishek Tiwari

JULY 12, 2018

Unfortunately, building data pipelines remains a daunting, time-consuming, and costly activity. Not everyone is operating at Netflix or Spotify scale data engineering function. Often companies underestimate the necessary effort and cost involved to build and maintain data pipelines.

Latency 63

Latency Analytics Scalability Engineering 63

High Scalability

JANUARY 7, 2020

T riplebyte lets exceptional software engineers skip screening steps at hundreds of top tech companies like Apple, Dropbox, Mixpanel, and Instacart. Level up on in-demand technologies and prep for your interviews on Educative.io, featuring popular courses like the bestselling Grokking the System Design Interview. Apply here.

Education 21

Education Java Software Engineering Engineering 21

High Scalability

DECEMBER 12, 2019

T riplebyte lets exceptional software engineers skip screening steps at hundreds of top tech companies like Apple, Dropbox, Mixpanel, and Instacart. Level up on in-demand technologies and prep for your interviews on Educative.io, featuring popular courses like the bestselling Grokking the System Design Interview. Apply here.

Education 21

Education Java Software Engineering Engineering 21

High Scalability

JANUARY 22, 2020

T riplebyte lets exceptional software engineers skip screening steps at hundreds of top tech companies like Apple, Dropbox, Mixpanel, and Instacart. Level up on in-demand technologies and prep for your interviews on Educative.io, featuring popular courses like the bestselling Grokking the System Design Interview. Apply here.

Education 22

Education Java Software Engineering Engineering 22

High Scalability

FEBRUARY 6, 2020

T riplebyte lets exceptional software engineers skip screening steps at hundreds of top tech companies like Apple, Dropbox, Mixpanel, and Instacart. Level up on in-demand technologies and prep for your interviews on Educative.io, featuring popular courses like the bestselling Grokking the System Design Interview. Apply here.

Education 21

Education Java Software Engineering Engineering 21

The Netflix TechBlog

DECEMBER 3, 2022

A small but growing contingency of data scientists and analytics engineers use R, backed by the Sparklyr interface or other data processing tools, like Metaflow. With an understanding that the data landscape and the technologies employed by end-users are not homogenous, Dataflow creates a malleable path toward.

Best Practices 358

Best Practices Code Testing Data Engineering 358

Abhishek Tiwari

JULY 7, 2023

They provide a systematic approach to extract, transform, and load (ETL) data from various sources, enabling organizations to derive valuable insights. However, as with any technology trend, data pipelines have not been immune to misuse and overuse.

Logistics 52

Logistics Transportation Scalability Data Engineering 52

O'Reilly

JULY 15, 2020

Technical roles represented in the “Other” category include IT managers, data engineers, DevOps practitioners, data scientists, systems engineers, and systems administrators. Combined, technology verticals—software, computers/hardware, and telecommunications—account for about 35% of the audience (Figure 2).

Database 135

Database Architecture Education Systems 135