Remove Accessibility Remove Coding Remove Systems
article thumbnail

Data Migration Strategies For Large Scale Systems

Data Engineering Podcast

Summary Any software system that survives long enough will require some form of migration or evolution. When that system is responsible for the data layer the process becomes more challenging. This episode is supported by Code Comments, an original podcast from Red Hat. My thanks to the team at Code Comments for their support.

Systems 130
article thumbnail

The Roots of Today's Modern Backend Engineering Practices

The Pragmatic Engineer

If you had a continuous deployment system up and running around 2010, you were ahead of the pack: but today it’s considered strange if your team would not have this for things like web applications.  Backend code I wrote and pushed to prod took down Amazon.com for several hours. and hand-rolled C -code.

article thumbnail

A Tour Around Buck2, Meta's New Build System

Tweag

Buck2 is a from-scratch rewrite of Buck , a polyglot, monorepo build system that was developed and used at Meta (Facebook), and shares a few similarities with Bazel. As you may know, the Scalable Builds Group at Tweag has a strong interest in such scalable build systems. fix the code # fix code 7.

Systems 141
article thumbnail

Build faster with Buck2: Our open source build system

Engineering at Meta

Buck2, our new open source, large-scale build system , is now available on GitHub. Buck2 is an extensible and performant build system written in Rust and designed to make your build experience faster and more efficient. In our internal tests at Meta, we observed that Buck2 completed builds 2x as fast as Buck1. Why rebuild Buck?

Building 145
article thumbnail

Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

article thumbnail

Zenlytic Is Building You A Better Coworker With AI Agents

Data Engineering Podcast

Summary The purpose of business intelligence systems is to allow anyone in the business to access and decode data to help them make informed decisions. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management This episode is supported by Code Comments, an original podcast from Red Hat.

Building 278
article thumbnail

The “10x engineer:" 50 years ago and now

The Pragmatic Engineer

” They write the specification, code, tests it, and write the documentation. Code reviews reduce the need to pair while working on a task, allowing engineers to keep up with changes and learn from each other. CI/CD : running automated tests on all changes, and deploying code to production automatically. The copilot.