#bootinstall-process

#bootinstall-process

He stormed up to my desk, leaned over my partition, and began his rant before I could so much as say hello. He screamed about the rubbish laptops and IT systems we had, nothing ever worked, all the usual stuff. The user's rant ended with a thundered 'Just FIX IT!'

In order to use agents or in order to use AI in IT operations, all of your systems need to be interconnected and what interconnects all of your systems is an automation platform. Interconnecting systems is only a piece of the puzzle though. There is also some well-founded concern about the autonomous AI systems we are moving towards. AI agents may make decisions and inferences, but enterprises remain hesitant to allow direct execution on production systems.

A few months ago, I decided to breathe new life into a 2019 Dell XPS 15 that had been collecting dust for a couple of years. Despite its (at the time) high-end Core i7 CPU and 32GB of RAM, Windows was frustratingly slow on it. The fan was constantly at full throttle even when the machine was idle, and it regularly failed to install updates.

Sudo, for those not familiar with Unix systems, is a command-line utility that allows authorized users to run specific commands as another user, typically the superuser, under tightly controlled policy rules. It is a foundational component of Unix and Linux systems: without tools like sudo, administrators would be forced to rely more heavily on direct root logins or broader privilege escalation mechanisms, increasing both operational risk and attack surface.

I've had several incarnations of the self-hosted home lab for decades. At one point, I had a small server farm of various machines that were either too old to serve as desktops or that people simply no longer wanted. I'd grab those machines, install Linux on them, and use them for various server purposes. Here are two questions you should ask yourself:

Bash scripts are a great way to automate all sorts of repetitive tasks -- you can run backups, clear temporary files/logs, rename or batch-rename files, install or update software, and much more. Although writing such scripts isn't nearly as hard as you might think, it does take some time to learn the ins and outs of bash scripting. Also: 6 hidden Android features that are seriously useful (and how they made my life easier) Good news: If you have an Android device, you can enable the Linux terminal, which means you can create or practice your bash scripting on the go.

For the longest time, Linux was considered to be geared specifically for developers and computer scientists. Modern distributions are far more general purpose now -- but that doesn't mean there aren't certain distros that are also ideal platforms for developers. What makes a distribution right for developers? Although I consider app compatibility, stability, and flexibility to be essential attributes for most any Linux distribution, developers also need the right tools

I recently wrote about my migration away from VirtualBox to KVM/Virt-Machine for my virtual machine needs. I've found those tools to be far superior (albeit with a bit more of a learning curve) than VirtualBox. Since then, however, I've found another method of working with KVM (the Linux kernel virtual machine technology), one that not only allows me to create and manage virtual machines on my local computer, but also from any machine on my LAN. That tool is Cockpit, which makes managing your Linux machines considerably easier.

Because of that, you need to be very familiar and comfortable with the command line. Or you can install a desktop environment. In my opinion, this is the single easiest way to make Ubuntu Server easier, especially if you're relatively new to Linux. Having a GUI desktop will strip away the fear of having to use the command line, because you'll have plenty of apps to use (such as the file manager, user manager, GUI app store, and much more).

Ring the bells, sound the trumpet, the Linux 6.19 kernel has arrived. Linus Torvalds announced that "6.19 is out as expected -- just as the US prepares to come to a complete standstill later today, watching the latest batch of televised commercials." Because while the big news in Linux circles might be a new Linux release, Torvalds recognizes that for many people, the "big news [was] some random sporting event." American football, what can you do?

The updates are installed onto a different (and isolated) system image or subvolume. Once the update finishes successfully, you can switch to the new system by rebooting. Again, if the update isn't 100% successful, it will not happen. And because this all occurs on a separate partition (or image), you don't have to worry about it affecting your system's current state.

DBmaestro is a database release automation solution that can blend the database delivery process seamlessly into your current DevOps ecosystem with minimal fuss, and without complex installation or maintenance. Its handy database pipeline builder allows you to package, verify, and deploy, and gives you the ability to pre-run the next release in a provisional environment to detect errors early. You get a zero-friction pipeline, which is often not the case with database delivery process.

Manual database deployment means longer release times. Database specialists have to spend several working days prior to release writing and testing scripts which in itself leads to prolonged deployment cycles and less time for testing. As a result, applications are not released on time and customers are not receiving the latest updates and bug fixes. Manual work inevitably results in errors, which cause problems and bottlenecks.

Industry professionals are realizing what's coming next, and it's well captured in a recent LinkedIn thread that says AI is moving on from being just a helper to a full-fledged co-developer - generating code, automating testing, managing whole workflows and even taking charge of every part of the CI/CD pipeline. Put simply, AI is transforming DevOps into a living ecosystem, one driven by close collaboration between human judgment and machine intelligence.