ITU
Digital transformation is blurring the boundaries between our physical and virtual worlds and this transformation has gained further impetus with COVID-19.
Things, places and people are being mirrored in a parallel virtual world, creating immersive new communications experiences and fundamental shifts in business and education as well as healthcare, automotive, logistics, retail and entertainment.
But is society ready for this future? Is this vision centred around people and our best interests? And how could technical standards and policy and regulation help us to shape the future we want?
These are among the key questions to be considered by ITU Kaleidoscope 2021: Connecting physical and virtual worlds – ITU’s flagship academic event – scheduled for 6-10 December online.
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What is observability? Software monitoring on steroids
Observability is an increasingly vital consideration for software engineers looking to build better, more stable applications. Here is everything you need to know about observability Credit: Dreamstime
The term “observability” started to gain serious momentum in software engineering circles around 2018, as a natural evolution of monitoring practices. By bringing together the raw outputs of metrics, events, logs, and traces, software developers could start to gain a real-time picture of how their software systems are performing and where issues might be occurring.
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April 1st, 11am-12:30pm
April 1, 2021 12:30 PM Virtual Meeting
Talk Abstract: For several decades, my collaborators, students, and I have worked on theory for distributed systems in order to understand their capabilities and limitations in a rigorous, mathematical way. This work has produced many different kinds of results, including:
• Abstract models for problems that are solved by distributed systems, and for the algorithms used to solve them
• Rigorous proofs of algorithm correctness and performance properties (also some error discoveries),
• Impossibility results and lower bounds, expressing inherent limitations of distributed systems,
• Some new algorithms, and
• General mathematical foundations for modeling and analyzing distributed systems.
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