The pastebin looked fine but an issue may be that some of the data&#x2F;samples in supporting research are so old as to be difficult to apply to modern infrastructure, and the HR question still stands.<p>I will take a look at <a href="http:&#x2F;&#x2F;infohost.nmt.edu&#x2F;~shipman&#x2F;soft&#x2F;clean&#x2F;" rel="nofollow">http:&#x2F;&#x2F;infohost.nmt.edu&#x2F;~shipman&#x2F;soft&#x2F;clean&#x2F;</a> tomorrow (evening here).<p>I agree with your assertions around reasonable use of prior work. I personally came to similar methods designing security-oriented systems (eg. at Kraken), eg. by strictly defining a protocol in a formalistic manner with a language suited for that purpose, then generating interfaces for client systems ... and even application-level enforcement proxies that can be inserted either during testing or (preferably) even automatically during live deployment. This amounts to automated application-level middleware, for SOA-type systems, direct from protocol spec.<p>Enforcement proxies ensure that broken implementation A and broken implementation B may only talk correct subset C of any given protocol, block and alarm on noncompliant communications, make otherwise restricted communication between nodes extremely difficult for attackers to use to horizontally expand any foothold established through security breaches. Assertions may be enforced in real time. Logging may occur there also. Very useful stuff. Not actually that hard to do, in practice. By contrast, the current norm of arbitrary HTTP POST with barely enforced JSON is a leaky bucket of slop.<p>Altran link 404s for me.<p>The internet&#x27;s basis in decentralization roughly equates to FOSS clustering equates to torrents equates to the wisdom and utility of failable components, I do not think you can claim in good faith that embracing failure has &quot;rarely proven to work&quot;.<p>Therefore, I&#x27;d like to know the source of your &quot;old rule&quot; that you can&#x27;t make high robustness systems by composing low-robustness components, because in the face of just the above evidence it looks like bullshit. Get enough redundancy in a system and it will operate with high resilience, as long as the orchestration algorithms are well tested. Redundancy is virtually free today in hardware, software, network connectivity, legal jurisdiction and a host of other ways. Not to take advantage of this reality is to have one&#x27;s head firmly in the sand. To take advantage brings benefits beyond merely security and availability, such as system mobility, peer service provider independence, legal jurisdiction independence, cheaper sourcing, easier scaling, etc.<p>Some of the rest of your post seems to me to be comparing apples and oranges, bygone eras to the present, monolithic transaction-oriented mainframes to general purpose complex COTS disposables, so I don&#x27;t feel it warranted to discuss further.<p>With regards to Linux uptimes, you never specified workload, and that&#x27;s hard to assure in hindsight, so you&#x27;ve created an impossible requirement to disprove your assertion. You do recognize however that many standard load Linux systems have run for 5+ or 10+ years with no problem, as I too know well as I&#x27;ve had some. Further, with changes in hardware (more work in RAM than ever, less unpredictable disk failure, higher quality cooling, more recognition of component lifetimes, ECC RAM, etc.) I expect that net COTS system longevity is increasing rather than decreasing, and Linux will not crash before the hardware in all but very unlucky cases... particularly with easily scripted, reasonable load testing.<p>My quote about sqlite and Linux running in harsh environments with limited resources in hundreds of millions - nay - billions of instances, extremely reliably, was primarily referring to mobile devices. Power challenges, many power cycles, physical bashing, temperature variations, heavily intermittent connectivity, dynamic clock speed migrations, moisture, etc. Furthermore, they are far more complex in terms of software stack than 1980s&#x2F;early 1990s transaction processing oriented mainframes.