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Adriaan de Groot (KDE), Thomas Goirand (Debian), and Canonical/Ubuntu

Submitted by Roy Schestowitz on Monday 30th of August 2021 04:25:13 PM Filed under
KDE
Debian
Ubuntu
  • Adriaan de Groot ([ade]): After Summer

    Meeting KDE people again was a lot of fun. Actually sitting at a table together makes a big difference in understanding each other. Arjen and David pushed and prodded me to do some KDE System Monitor work for FreeBSD, which has now landed upstream. Aleix and I talked about Calamares in OEM mode. Harald complained about a lack of coffee. Leinir introduced me to Schwip Schwap, which seems like a terrible idea but isn’t.

  • Thomas Goirand: developers-reference needs love

    During Debconf, Holger, who’s one of the developers-reference maintainers, made a quick presentation that was explaining the developers-reference needs some love. Indeed, it has gathered dust, and some useful refresh would be very welcome.

  • OnLogic introduces fanless computers for IoT industry | Digital Signage Today

    The Helix 300 Series can be configured with Windows or Linux Ubuntu operating systems and can be paired with OnLogic's suite of OEM services, including custom branding, software imaging, custom fulfilment services, and lifecycle management support, according to the release.

  • Model-driven observability: Taming alert storms

    Software inevitably fails and, when it does (or ideally some time before it does), your observability stack will alert you. But failures cascade through systems, and one root cause ends up having many symptoms on different related systems and, as such, many alerts are fired. When the alerts fired at your pager are many and more keep coming in, you have an alert storm. Colloquially, an alert storm is that phenomenon that occurs when multiple interrelated alerts get triggered in quick succession. Often, these alerts have a common cause, or they are at least closely related. For example: imagine that a Cassandra cluster goes down that alone will trigger one or more alerts in the monitoring of the cluster, and very likely alerts from the applications that rely on that cluster.This means that alerts spread to the applications that rely on the applications that rely on the Cassandra cluster and before you know it, everything looks like it is on fire and it becomes difficult to identify a starting point for the troubleshooting.

    Alert storms have severe short and long-term implications for the teams facing them. In the short-term, a continuously-firing pager distracts you while you are fire-fighting, and it feels like someone is pouring gasoline on a bonfire. Then there is the cognitive overload of deciding which fire to put out first, trying to discern cause from effect, and decision making under duress is not trivial. Long-term, teams develop alert fatigue: the more alerts one is exposed to over time, and the less meaningful each of those alerts is (“Yes, I already know the cluster is bricked!”), the less likely the operators will be quick to jump to the firefighting (“That thing is borked more often than not anyhow”). Over time, issues get underestimated or outright overlooked. Beyond the dip in operational readiness, alert fatigue has serious personal implications for the people experiencing it.

  • Cloud PaaS through the lens of open source – opinion

    Open source software, as the name suggests, is developed in the open. The software can be freely inspected by anyone, and can be freely patched as required to suit the security requirements of the organisation running it. Any publicly identified security issues are centrally triaged and tracked. Associated software patches are also developed and distributed in a coordinated manner. The process is based on broad collaboration between government agencies, open source software vendors, security researchers, community contributors and oftentimes the obligations set forth in the widely adopted GPL open source software license.

    Platform as a Service (PaaS) solutions, generally speaking, are developed as proprietary, black-box solutions. Whilst the software offered by the PaaS solution is sometimes free open source software, the provisioning and management solution surrounding the software is almost always proprietary to the PaaS vendor. The customer may have little to no visibility into the provisioning and management engine codebase and the problems that might exist therein, and is likely to depend on the PaaS vendor to fulfill many of their security obligations.

    PaaS providers have maintained an excellent security posture for many years. Exploits are rare, and when they are identified, the vendor’s response is usually rapid and decisive. But PaaS is still a relatively new technology in terms of general adoption, and where an exploit in PaaS is identified, its scope can be quite devastating for users of the service in question.

    “ChaosDB” for example, was a privilege escalation vulnerability identified on the popular Microsoft Azure CosmosDB platform, that potentially allowed attackers to gain access to database instances that had the “Jupyter Notebook” feature enabled. Whilst Microsoft acted responsibly and rapidly addressed the threat presented by ChaosDB, it is nevertheless an example of a PaaS vulnerability with potentially broad scope and far reaching consequences. I believe Microsoft acted commendably, but Microsoft also has the scale and the resources to be able to act in a decisive manner – something smaller or less experienced PaaS vendors might struggle to do.

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