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Compiler episodes

  • Are Big Mistakes That Big Of A Deal?

    Oops. We all make mistakes. Most of the time, they’re small enough no one notices. But every now and then, we do something that makes us break into a cold sweat. The “Oops” becomes a curse, desperate pleas—or horrified silence as we process what just happened. In the moment, they’re panic-inducing. But once the dust settles, are those big mistakes that big of a deal?

    On this episode of Compiler, we hear three stories of people who wish they had an easy undo button. But making those mistakes taught them all something important—and changed how they do their jobs. Because those big mistakes end up being valuable lessons for the rest of their careers.
     

    34 min
  • How Does Data Help Shape Movies?

    Movies are culturally important. They transform language and communication. Motion pictures present fantasy worlds we can get lost in, helping us understand the world differently. Discussing data and movies can make the fantasy seem…a little less fantastic. It can feel sterile, mass produced, and devoid of imagination. 

    But data is vital, both for those behind the camera and those sitting in theaters (or at home). This episode will cover some ways data science and machine learning can inform filmmaking, from conception to post-production.

    30 min
  • How Do We Make Updates Less Annoying?

    Updates. They take time out of your day and your devices out of commission. That’s about the extent of it for an end user. But for organizations? Updating their systems is a big deal. And forgoing regular updates is a recipe for disaster. 

    “If it ain’t broke, don’t fix it” isn’t a good option for enterprise IT. Your system may keep running but if you haven’t updated in awhile, you may be missing some stability and performance improvements—and probably some security patches too. Regularly updating is a good habit. How do we make it less annoying?
     

    31 min
  • When Should Data Die?
    We have a finite time on earth. But the data we generate? It can last much, much longer. We have limited control over what happens to our data during our lives. And while you might not care about anything when you’re gone, you and your loved ones might have an interest in how your information is used after you pass. So we wondered: When should data die?
    It’s a tricky question. In the digital age, individuals generate mountains of data over their lifetimes. But who has the right to decide whether that data remains, or when it is deleted? How should IT organizations handle their datasets given the complexities of privacy, legacy, and ownership that they need to consider?
    31 min
  • How Bad Is Betting Wrong On The Future?

    Technologists are often asked to make decisions based on future industry advancements—or basically, things that haven’t happened yet. It’s already difficult to choose the right path for a project without the pressure to be clairvoyant. But everyone wants to feel like they are leading the pack on the next big thing. 

    What do we need to know to make a good prediction for where technology is headed? Alternatively, what do we need to know to avoid the wrong choice? We speak to experts in the DevOps space about betting wrong on the future, how development projects go awry, and what teams can do to get things back on track. 
     

    29 min
  • Are We As Productive As We Think?

    We live in what some call a “distraction economy.” There are countless messages, emails, tickets, bugs to fix, and meetings to attend. For those who have to build software, platforms, and services, as well as those who maintain them and keep them running, it can be difficult to decide what to focus on first. 

    The immense pressure to be productive is challenging to balance with passion projects, personal responsibilities, or just with the need to rest. Our team spoke with tech-minded creators in the productivity space on how to achieve full focus, and how to make time for work, relaxation, and creativity. 

    We would love to see you (virtually) at Red Hat Summit. Register for the virtual experience of Red Hat Summit at red.ht/summit2022.

    27 min
  • Who's Afraid Of Compilers?

    It’s about time we asked a question about compilers. It’s been a scary proposition. Compilers have a reputation for density, complexity, and a fair bit of mysticism. But when we looked into them, we learned they’re really just like any other program. So we wondered: Who’s afraid of compilers? 

    In this episode of Compiler, we start to break down the reputation by opening up the black box. What do compilers do? How do they work? And what can you gain by learning more about the inner workings of compilers?
     

    30 min
  • How Do Roads Become Smarter?
    Traffic jams and congested streets are an annoyance many people have to endure. Turns out, the same technology keeping us constantly connected—the Internet of Things—can also improve how we move people and things from place to place. But what are the considerations for technologists? Connectivity can’t be the only piece of the puzzle. Smart road technology can make travel safer, easier, and more efficient. But how can it make travel enjoyable?
    29 min
  • What Do Kids Learn When They Learn About Tech?

    Computer literacy is supposedly coming naturally to younger generations who seem to be born with smartphones in their hands. But there’s a difference between tech familiarity and actually knowing how technology works. And when kids learn about the wide world of IT, what else are they learning? 

    Kids know tech is everywhere. In this episode of Compiler, we spoke to middle school, high school, and college educators about what it is their students are hoping to learn—and what skills they pick up on the way.
     

    28 min
  • Command Line Heroes Presents: Relentless Replicators

    Hey listeners—we’ve got something different for you to try. If you enjoyed our Caturday episode and want more stories about security, we think you’ll like Season 9 of Command Line Heroes. It’s Red Hat’s tech history show, and this new season is all about malware. Here’s the first episode:

    Computer viruses and worms haunt the internet. They worm their way into a system, replicate, and spread again. It’s a simple process—with devastating consequences. But there’s a whole industry of people that rose up to fight back. 

    Craig Schmugar recalls how he and his team responded to MyDoom, one of the fastest-spreading worms ever. Dr. Nur Zincir-Heywood reveals the inner workings of viruses and worms, and how they draw their names from the world of biology. And security expert Mikko Hypponen shares advice on avoiding malware. But he also warns that we’re in an arms race against malware developers.

    27 min

About Compiler

From the publisher's feed

Compiler gives you perspectives and insights from the tech industry—free from jargon and judgment. We’re here to help tech newbies understand what’s going on. Learn more about our show at…

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