Five reporters stumbled on what seems like a basic question: What is money?
This week on the podcast we chat kubernetes, containers, and OpenShift with IBM Cloud developer advocate Sai Vennam.
We reflect on the wealth of small software startups doing strong business in relative obscurity.
Spring Framework is an application framework for Java and JVM languages. Spring was originally built around dependency injection, but grew to become an entire ecosystem of tools and plugins for Java developers.
Spring was originally released 15 years ago, and since then a lot has changed around application development. For example, many engineers deploy applications to the cloud in microservices architectures. The expectations around frameworks has also changed, with the rise of Django, Ruby on Rails, and NodeJS.
Spring Boot takes an opinionated view of building production-ready Spring applications. By taking an opinionated view, Spring Boot gets engineers up and running faster than the traditional Spring framework. Josh Long is a Spring Developer Advocate at Pivotal and he joins the show to discuss Spring Boot and the history of the Spring Framework.
Software Engineering Daily is having our third Meetup, Wednesday May 3rd at Galvanize in San Francisco. The theme of this Meetup is Fraud and Risk in Software. We will have great food, engaging speakers, and a friendly, intellectual atmosphere. To find out more, go to softwareengineeringdaily.com/meetup. We would love to get your feedback on Software Engineering Daily. Please fill out the listener survey, available on softwareengineeringdaily.com/survey.
Transcript provided by We Edit Podcasts. Software Engineering Daily listeners can go to weeditpodcasts.com/sed to get 20% off the first two months of audio editing and transcription services. Thanks to We Edit Podcasts for partnering with SE Daily. Please click here to download the Spring Boot transcript.
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Oracle Dyn provides DNS that is as dynamic and intelligent as your applications. Dyn DNS gets your users to the right cloud service, CDN, or data center, using intelligent response to steer traffic based on business policies, as well as real-time internet conditions, like the security and performance of the network path. Get started with a free 30-day trial for your application by going to dyn.com/sedaily. After the free trial, Dyn’s developer plans start at just $7 a month for world-class DNS. Rethink DNS. Go to dyn.com/sedaily to learn more and get your free trial of Dyn DNS.
Don’t let your database be a black box–drill down into the metrics of your database with 1-second granularity. VividCortex provides database monitoring for MySQL, Postgres, Redis, MongoDB, and Amazon Aurora. Database uptime, efficiency, and performance can all be measured using VividCortex. VividCortex uses patented algorithms to analyze and surface relevant insights, so users can be proactive, and fix performance problems before customers are impacted. If you have a database that you would like to monitor more closely, check out vividcortex.com/sedaily. Github, DigitalOcean, and Yelp all use VividCortex to understand database performance. Learn more at vividcortex.com/sedaily, and request a demo!
Josh Long talks about the philosophy behind Spring Boot and Spring Cloud. He also discusses some of the common distributed computing problems Pivotal are trying to solve - externalised configuration, service discovery, client-side load balancing, distributed tracing and so on, and talks about some major clients including Netflix, Baidu and Alibaba.
Listen as Greg Tito, Senior Communications Manager for Dungeons and Dragons, shares the exciting ways the company uses things like automation, localized ads, and an authentic voice to evolve their legacy brand on Twitter.
with Ray Dalio (@raydalio), Alex Rampell (@arampell), and Sonal Chokshi (@smc90)
Can one really apply the lessons of history and of the past to the present and the future, as a way to get what they want out of life? By deeply understanding cause-effect relationships — clearly expressed, shared with others, overlaid with data, back-tested, modified — you can build a set of principles/algorithms/recipes for dealing with the realities of your life, observes Ray Dalio in this episode of the a16z Podcast (in conversation with a16z general partner Alex Rampell and Sonal Chokshi). Dalio’s book Principles: Life and Work originated as an internal company document that was posted online years ago and has been shared widely since; he is the founder, chairman, and co-chief investment officer of Bridgewater Associates — one of the top five private companies in the U.S., which manages over $150 billion and has made more money for clients than any other hedge fund.
"Is this is a duck, how do I deal with ducks; or this is a species I haven’t seen before, and how do I deal with that?" In other words, when you see a particular thing coming over and over again, you can know what you’re seeing and how to act on it. But what about timing, which is a huge factor when it comes to making various bets and decisions in …
My guests this week are Kevin Systrom and Mike Krieger, the co-founders of Instagram.
I met Kevin and Mike a few months ago over a shared interest in business and investing. I have found them both to be extremely good people who have a rare talent for finding and solving interesting problems. Indeed, problem-solving and jobs-to-be-done is a big part of our conversation.
I realized walking into the podcast that Kevin and Mike have a rare set of experiences: having both built and sold an extremely successful product from scratch, but then also operated and scaled inside one of the largest businesses in the world. This means they have unique knowledge to offer just about anyone interested in business and products. We dig into all those lessons here.
I am working on hosting more founders and CEOs on the podcast, and can’t think of a better pair to show you why I want to do so. Please enjoy my conversation with Kevin and Mike. For more episodes go to . Sign up for the book club, where you’ll get a full investor curriculum and then 3-4 suggestions every month at . Follow Patrick on Twitter at
Show Notes 1:38 – (first question) – Projects they’ve been working on since leaving Instagram 5:22 – How they can apply what they are learning in machine learning 7:18 – Most interesting experience diving back into data and machine learning 8:42 – How startups compare today to when they founded Instagram 13:23 – Judging founders and whether they know how to use their data effectively 14:26 – The jobs-to-be-done framework 19:14 – Laying out a vision vs solving problems that pop up 25:20 – Developing and sharing the principles of the company with the team 30:48 – Creating a community when it includes almost the entire world 39:03 – The most popular ways people used the platform 41:24 – What was the jobs-to-be-done rational behind the stories feature 44:15 – Interesting things that they saw as Instagram entered the developing world 46:40 – Their thoughts on how Instagram shaped culture and if they focused on those 52:58 – The new waves that they are observing right now 55:11 – How their thinking on leadership and teams changed during their time at Instagram and Facebook 1:03:23 – The pillars of a good business, including humility and confidence 1:06:06 – Focus on growth and distribution in a startup 1:10:01 – How early were they thinking about monetization on this free platform 1:13:43 – How do they think about how they invest their money and allocate resources 1:17:36 – Mentors for Kevin and Mike 1:20:30 – Their passion for learning to fly and the someday/maybe list 1:23:01 – Their interest in coffee 1:26:24 – Advice for everyone else 1:30:00 – Kindest thing anyone has done for them Learn More For more episodes go to . Sign up for the book club, where you’ll get a full investor curriculum and then 3-4 suggestions every month at
Follow Patrick on twitter at
In this episode, Adam talks to Ryan Singer of Basecamp about how they plan, structure, and execute on new features.
The history of computing can be thought of as a series of ideas rather than objects. From Aristotle’s formalization of the syllogism, to Alan Turing’s model for an all-purpose computing machine, to Satoshi Nakamoto’s distributed transaction ledger–these breakthroughs did not come in the form of polished, tangible objects. In fact, the objects which end up
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