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Leftovers: Canonical on Banks, Raspberry Pi and Curl

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Misc
  • A ‘Connected’ Bank – The power of data and analytics

    The next 10 years will redefine banking. What will differentiate top banks from their competitors? Data and derived insights.

    Banks across the globe have been immersed in their digital agenda and with customers adopting digital banking channels aggressively, banks are collecting massive volumes of data on how customers are interacting at various touch points. Apart from the health of balance sheets, what will differentiate top banks from the competition is how effectively these data assets will be used to make banking simpler and improve their products and services. The challenge for large global banks so far has been to capitalise on huge volumes of data that their siloed business units hold and are often constrained by manual processes, data duplication and legacy systems.

    The use cases for data and analytics in banking are endless. Massive data assets will mean that banks can more accurately gauge the risk of offering a loan to a customer. Banks are using data analytics to improve efficiency and increase productivity. Banks will be able to use their data to train machine learning (ML) algorithms that can automate many of their processes. Artificial Intelligence (AI) solutions have the potential to transform how banks deal with regulatory compliance issues, financial fraud and cybercrime. Banks will have to get better at using customer data for greater personalisation, enabling them to offer products and services tailored to individual consumers in real time. Today, banks have only just scratched the surface of data analytics.

    [...]

    For data analytics initiatives, banks now have the option of leveraging the best of open source technologies. Open source databases such as PostgreSQL, MongoDB and Apache Cassandra can deliver insights and handle any new source of data. With data models flexible enough for rich modern data, a distributed architecture built for cloud scale, and a robust ecosystem of tools, open source data platforms can help banks break free from data silos and enable them to scale their innovation.

  • Embedding computational thinking skills in our learning resources
  • Daniel Stenberg: Reducing mallocs for fun

    Everyone needs something fun to do in their spare time. And digging deep into curl internals is mighty fun!

    One of the things I do in curl every now and then is to run a few typical command lines and count how much memory is allocated and how many memory allocation calls that are made. This is good project hygiene and is a basic check that we didn’t accidentally slip in a malloc/free sequence in the transfer path or something.

    We have extensive memory checks for leaks etc in the test suite so I’m not worried about that. Those things we detect and fix immediately, even when the leaks occur in error paths – thanks to our fancy “torture tests” that do error injections.

    The amount of memory needed or number of mallocs used is more of a boiling frog problem. We add one now, then another months later and a third the following year. Each added malloc call is motivated within the scope of that particular change. But taken all together, does the pattern of memory use make sense? Can we make it better?

  • Daniel Stenberg: a Google grant for libcurl work

    Earlier this year I was the recipient of a monetary Google patch grant with the expressed purpose of improving security in libcurl.

    This was an upfront payout under this Google program describing itself as “an experimental program that rewards proactive security improvements to select open-source projects”.

    I accepted this grant for the curl project and I intend to keep working fiercely on securing curl. I recognize the importance of curl security as curl remains one of the most widely used software components in the world, and even one that is doing network data transfers which typically is a risky business. curl is responsible for a measurable share of all Internet transfers done over the Internet an average day. My job is to make sure those transfers are done as safe and secure as possible. It isn’t my only responsibility of course, as I have other tasks to attend to as well, but still.

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Dilution and Misuse of the "Linux" Brand

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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.