Language Selection

English French German Italian Portuguese Spanish

Programming Leftovers

Submitted by Roy Schestowitz on Monday 11th of May 2020 11:10:10 PM Filed under
Development
  • Four P2P distribution tools for Git repositories compared

    Git is a version control system that is decentralized by design. Anyone can run git daemon in a repository to start a Git server. You can also host your repository using a regular web server and HTTP infrastructure. More commonly, though, repositories are distributed through centralized hub services like BitBucket, GitHub, and GitLab. It’s quick, easy, and free to “throw your code up on GitHub” and call it a day. However, there is also a growing number of peer-to-peer (P2P) distributed options to consider as well.

    What if you could distribute your Git repository using the BitTorrent P2P protocol without the need for a central server? Without having to depend on a commercial business’ hosting-generosity and infrastructure. That’s the idea behind GitTorrent, an experimental Git helper and overlay protocol for transferring Git repositories over the popular P2P protocol.

    GitTorrent does away with the idea of a central code distribution server. Instead, it relies on the people who’re using and participating in the project to contribute bandwidth and handle its distribution.

    Similar concepts have popped up around other peer-to-peer protocols including Dat Protocol and IPFS. Each implementation has made different implementation choices and ended up with systems that appear similar at first glance but have fundamentally different trade-offs and priorities. In this article, I’ll explore these differences in-depth and do a comprehensive comparison.

  • Enforcing locking with C++ nonmovable types

    It is a common mistake that when code is changed, someone, somewhere forgots to add a lock guard. The problem is even bigger if the variable is a full object or a handle that you would like to "pass out" to the caller so they can use it outside the body of the struct. This caller also needs to release the lock when it's done.

    This brings up an interesting question: can we implement a scheme which only permits safe accesses to the variables in a way that the users can not circumvent [0] and which has zero performance penalty compared to writing optimal lock/unlock function calls by hand and which uses only standard C++?

  • Why developers are becoming the AI implementation powerhouse

    I always thought application developers and software engineers would be great in implementing data science and AI. They can code, they know how to think logically, and they are driven to solve difficult problems. We also see skilled developers working in the marketplace, while data scientists and machine learning engineers are in short supply comparatively speaking. With automated AI lifecycle management tools and the proliferation of cloud AI environments, today’s developers are given an easier onramp to get data science into their skillset arsenal.

    Upkar Lidder has transitioned from a full stack developer to a developer advocate who is focused on data science and AI. We had a conversation on how a developer can benefit from learning about data science and expanding the scope of his or her role.

  • Improve Git Diffs for Structured Data

    Git has functionality to use alternate programs to produce diffs. Typically this is used to make diffs of non-text, like word documents. There are three things you need to configure for these attributes:

      The attribute on the file
      The handler for the attribute
      The program to do the diffing

    The attribute should go in either .gitattributes or .git/info/attributes in your checkout, or whatever core.attributesFile is configured to point at. Here’s what mine looks like:

    thedata.js diff=thedata

    Very simple. Could easily be based on extension (so the prefix would be *.js) but that would cause more problems in my case.

  • Deploy, track, and roll back RDS database code changes using open source tools Liquibase and Jenkins

    Customers across industries and verticals deal with relational database code deployment. In most cases, developers rely on database administrators (DBAs) to perform the database code deployment. This works well when the number of databases and the amount of database code changes are low. As organizations scale, however, they deal with different database engines—including Oracle, SQL Server, PostgreSQL, and MySQL—and hundreds or even thousands of databases. This creates a huge load on the DBAs to deploy, track, and perhaps roll back the database changes as and when developers need them to. Moreover, waiting for DBAs to make changes for the developers in an agile environment creates a bottleneck.

  • T^4: Adding Some Color to the Shell

    The first proper video (following last week’s announcement) is up for new T^4 series of video lightning talks with tips, tricks, tools, and toys. Today we just to a little enhancement for the shell enabled color output (if not already on by default).

  • ttdo 0.0.5: Reflect tinytest update

    A maintenance release of our (still small) ttdo package just arrived on CRAN. As introduced last fall, the ttdo package extends the most excellent (and very minimal / zero depends) unit testing package tinytest by Mark van der Loo with the very clever and well-done diffobj package by Brodie Gaslam to give us test results with visual diffs:

    tinytest has an extension mechanism we use, and as tinytest was just upgraded to version 1.2.0 changing, among other nice extensions, one interface by allowing for a new error class argument, we had to rebuild as well in order to document the new argument.

    The release was actually prepared three days ago when tinytest itself was updated, but we waited for the binaries at CRAN to be updated and rebuilt to take advantage of the fully automated submission and test process at CRAN.

»

LLVM Benchmarks

Submitted by Roy Schestowitz on Monday 11th of May 2020 11:11:31 PM.

LLVM Issues

Submitted by Roy Schestowitz on Tuesday 12th of May 2020 04:58:47 AM.
  • SESES Speculative Execution Pass Lands In LLVM With "Extreme Performance Implications"

    The Google-backed SESES pass for LLVM to help fend off speculative execution vulnerabilities has been merged for LLVM 11, but in opting to enable this patch you lose much of your system's performance.

    SESES was shown back in March by Google engineer Zola Bridges following the public disclosure of the Load Value Injection attack affecting Intel CPUs. SESES is an optional pass for LLVM on x86-based platforms for "Speculative Execution Side Effect Suppression" and is intended as a last resort for mitigating against the likes of LVI and other possible speculative execution side channel vulnerabilities.

Comment viewing options

Select your preferred way to display the comments and click "Save settings" to activate your changes.

More in Tux Machines

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. Read more

Dilution and Misuse of the "Linux" Brand

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. Read more

today's howtos

  • How to install go1.19beta on Ubuntu 22.04 – NextGenTips

    In this tutorial, we are going to explore how to install go on Ubuntu 22.04 Golang is an open-source programming language that is easy to learn and use. It is built-in concurrency and has a robust standard library. It is reliable, builds fast, and efficient software that scales fast. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel-type systems enable flexible and modular program constructions. Go compiles quickly to machine code and has the convenience of garbage collection and the power of run-time reflection. In this guide, we are going to learn how to install golang 1.19beta on Ubuntu 22.04. Go 1.19beta1 is not yet released. There is so much work in progress with all the documentation.

  • molecule test: failed to connect to bus in systemd container - openQA bites

    Ansible Molecule is a project to help you test your ansible roles. I’m using molecule for automatically testing the ansible roles of geekoops.

  • How To Install MongoDB on AlmaLinux 9 - idroot

    In this tutorial, we will show you how to install MongoDB on AlmaLinux 9. For those of you who didn’t know, MongoDB is a high-performance, highly scalable document-oriented NoSQL database. Unlike in SQL databases where data is stored in rows and columns inside tables, in MongoDB, data is structured in JSON-like format inside records which are referred to as documents. The open-source attribute of MongoDB as a database software makes it an ideal candidate for almost any database-related project. This article assumes you have at least basic knowledge of Linux, know how to use the shell, and most importantly, you host your site on your own VPS. The installation is quite simple and assumes you are running in the root account, if not you may need to add ‘sudo‘ to the commands to get root privileges. I will show you the step-by-step installation of the MongoDB NoSQL database on AlmaLinux 9. You can follow the same instructions for CentOS and Rocky Linux.

  • An introduction (and how-to) to Plugin Loader for the Steam Deck. - Invidious
  • Self-host a Ghost Blog With Traefik

    Ghost is a very popular open-source content management system. Started as an alternative to WordPress and it went on to become an alternative to Substack by focusing on membership and newsletter. The creators of Ghost offer managed Pro hosting but it may not fit everyone's budget. Alternatively, you can self-host it on your own cloud servers. On Linux handbook, we already have a guide on deploying Ghost with Docker in a reverse proxy setup. Instead of Ngnix reverse proxy, you can also use another software called Traefik with Docker. It is a popular open-source cloud-native application proxy, API Gateway, Edge-router, and more. I use Traefik to secure my websites using an SSL certificate obtained from Let's Encrypt. Once deployed, Traefik can automatically manage your certificates and their renewals. In this tutorial, I'll share the necessary steps for deploying a Ghost blog with Docker and Traefik.

More on Tux Machines: About ● Gallery ● Forum ● Blogs ● Search ● News ● RSS Feed

Part of Bytes Media ● Sister sites below.

TechBytes Techrights button

Powered by Drupal, an open source content management system

Content available under CC-BY-SA CC

© by original authors

Powered by CentOS 6.5 (GNU/Linux), Varnish, and Drupal 6