Programming: Git and Qt

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Understand the new GitLab Kubernetes Agent
GitLab's current Kubernetes integrations were introduced more than three years ago. Their primary goal was to allow a simple setup of clusters and provide a smooth deployment experience to our users. These integrations served us well in the past years but at the same time its weaknesses were limiting for some important and crucial use cases.
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GitLab Introduces the GitLab Kubernetes Agent
The GitLab Kubernetes Agent (GKA), released in GitLab 13.4, provides a permanent communication channel between GitLab and the cluster. According to the GitLab blog, it is designed to provide a secure solution that allows cluster operators to restrict GitLab's rights in the cluster and does not require opening up the cluster to the Internet.
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Git Protocol v2 Available at Launchpad
After a few weeks of development and testing, we are proud to finally announce that Git protocol v2 is available at Launchpad! But what are the improvements in the protocol itself, and how can you benefit from that?
The git v2 protocol was released a while ago, in May 2018, with the intent of simplifying git over HTTP transfer protocol, allowing extensibility of git capabilities, and reducing the network usage in some operations.
For the end user, the main clear benefit is the bandwidth reduction: in the previous version of the protocol, when one does a “git pull origin master”, for example, even if you have no new commits to fetch from the remote origin, git server would first “advertise” to the client all refs (branches and tags) available. In big repositories with hundreds or thousands of refs, this simple handshake operation could consume a lot of bandwidth and time to communicate a bunch of data that would potentially be discarded by the client after.
In the v2 protocol, this waste is no longer present: the client now has the ability to filter which refs it wants to know about before the server starts advertising it.
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Qt Desktop Days 7-11 September
We are happy to let you know that the very first edition of Qt Desktop Days 2020 was a great success! Having pulled together the event at very short notice, we were delighted at the enthusiastic response from contributors and attendees alike.
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Full Stack Tracing Part 1
Full stack tracing is a tool that should be part of every software engineer’s toolkit. It’s the best way to investigate and solve certain classes of hard problems in optimization and debugging. Because of the power and capability it gives the developer, we’ll be writing a series of blogs about it: when to use it, how to get it set up, how to create traces, and how to interpret results. Our goal is to get you capable enough to use full stack tracing to solve your tough problems too.
Firstly, what is it? Full stack tracing is tracing on the full software stack, from the operating system to the application. By collecting profiling information (timing, process, caller, API, and other info) from the kernel, drivers, software frameworks, application, and JavaScript environments, you’re able to see exactly how the individual components of a system are interacting. That opens up areas of investigation that are impossible to achieve with standard application profilers, kernel debug messages, or even strategically inserted printf() commands. One way to think of full stack tracing is like a developer’s MRI machine that allows you to look into a running system without disturbing it to determine what is happening inside. (And unlike other low-level traces that we’ve written about before, full stack tracing provides a simpler way to view activity up and down the entire software stack.)
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digiKam 7.7.0 is released
After three months of active maintenance and another bug triage, the digiKam team is proud to present version 7.7.0 of its open source digital photo manager. See below the list of most important features coming with this release.
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Dilution and Misuse of the "Linux" Brand
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Samsung, Red Hat to Work on Linux Drivers for Future Tech
The metaverse is expected to uproot system design as we know it, and Samsung is one of many hardware vendors re-imagining data center infrastructure in preparation for a parallel 3D world.
Samsung is working on new memory technologies that provide faster bandwidth inside hardware for data to travel between CPUs, storage and other computing resources. The company also announced it was partnering with Red Hat to ensure these technologies have Linux compatibility.
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