Technical interviews about software topics.
https://softwareengineeringdaily.com/
Gesamtlänge aller Episoden: 62 days 2 hours 50 minutes
recommended podcasts
Sampling with Daniel Trostli
Every song you hear on the radio is written with a computer. Computer musicians mostly use synthesizers and samples to compose these songs. A sample is a snippet of recorded sound, sometimes taken from a songs, a movie, or another source.
Data Engineering with Pete Soderling
In the last five years, companies started hiring data engineers. A data engineer creates the systems that manage and access the huge volumes of data that are accumulating on cheap cloud servers. As the saying goes,
Ad Fraud Research with Augustine Fou
A huge percentage of online advertisements are never seen by humans. They are viewed by bots–automated scripts that are opening web pages in a browser and pretending to be a human. Advertising scammers set up web pages,
Reactive Microservices with Jonas Boner
For many years, software companies have been breaking up their applications into individual services for the purpose of isolation and maintainability. In the early 2000s, we called this pattern “service-oriented architecture”.
Scale API with Lucy Guo and Alexandr Wang
Some tasks are simple, but cannot be performed by a computer. Audio transcription, image recognition, survey completion–these are simple procedures that almost any human could execute, but the machine learning models have not gotten consistent enough t...
Bots with Jon Bruner
Over the next few years, bots will pervade our lives more and more. These smart, conversational text interfaces provide a new way of engaging with the computer systems that we have been mostly interacting with through web and mobile app interfaces for ...
Mesos, Kubernetes, and Infrastructure of the Future with Dharmesh Kakadia
Mesos and Kubernetes are tools for distributed systems management. Kubernetes is built with an emphasis on running services, whereas Mesos is commonly used for a wider variety of workloads, including data infrastructure like Spark and Kafka.
Ad Fraud Everywhere with Shailin Dhar
Advertising fraud is easy, legal, and extremely profitable. A fraudster can set up a website, scrape content from the internet, and run programmatic advertisements against that website. The fraudster can then purchase bot traffic.