Discover and read the best of Twitter Threads about #outages
Most recents (3)
1/9 Exciting work from Simona Nitti and colleagues... good news for #space #weather forecasting/predictions and correlated #disaster #preparedness, #bioterrorism, #pandemic preparedness, #power #outages, #cybersecurity, etc.
academic.oup.com/mnras/article-…
#heliobiology
academic.oup.com/mnras/article-…
#heliobiology
2/9 "#Coronal #holes (#CHs) are the source of #high-#speed #streams (#HSSs) in the #solar #wind, whose interaction with the slow solar wind creates #corotating #interaction #regions (#CIRs) in the #heliosphere."
3/9 "Whenever the CIRs hit the #Earth, they can cause #geomagnetic #storms. We develop a method to predict the strength of CIR/HSS-driven geomagnetic storms directly from #solar #observations using the CH areas and associated #magnetic #field #polarity."
Paper alert! I'm going to share the story of my paper with @barabasi , "Recovery Coupling in multilayer networks" out today in @NatureComms rdcu.be/cHcDN #networkscience #resilience #research 👨🔬🧑💻A thread.🧵
People have been solving models for interdependent networks for a while. The math is elegant and the models can easily show a plethora of interesting dynamical phenomena. I even wrote a review on the subject link.springer.com/chapter/10.100… #resilience #infrastructure #physics
The trouble is, most models require that a power asset can fail and cause a communication outage AND that a communication outage can cause a power outage. The first is common. The second? Hard to find. Both at once? No one has ever reported it. 
Started reading @Google 's #SRE book and some insights from it so far, will keep updating the thread as I finish the chapters. (1/n)
@Google The initial chapter touches upon the idea, that fixes being pushed with human-interruption need to scale linearly as the product grows/scale increases. Practicing the ideology of building systems which would in turn manage the hand holding which #syadmins do is radical (2/n)
@Google 100% uptime is probably never the right reliability target: not only is it impossible to achieve, it’s typically more reliability than a service’s users want or notice. Matching the profile of the service to the risk the business is willing to take. (3/n)
