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MACHINES THAT HEAL THEMSELVES: How Self-Managing Systems Are Running the World — and What Every Leader Needs to Know - Softcover
Inhaltsangabe
The infrastructure that runs your world is managing itself. Do you understand what that means?
Every time you make a payment, stream a video, board a flight, or check a medical result, you are depending on systems so vast and so complex that no human team could manage them manually. The cloud platforms, power grids, financial networks, and hospital systems that modern life runs on are monitored, repaired, optimized, and protected — continuously, automatically, at machine speed — by software that was designed to manage itself.
This is not science fiction. It is the operational reality of every major organization on earth. And most of the leaders responsible for these organizations don't fully understand how it works — or what happens when it doesn't.
Machines That Heal Themselves is the definitive guide for non-technical leaders who need to understand autonomous systems: what they can do, how they fail, and what responsible management requires.
Drawing on decades of research and hands-on engineering at IBM and in the field of autonomic computing, Dr. Mircea Mihaescu explains the architecture behind self-managing systems — the four core capabilities that make them work, the feedback loops that keep them stable, the AI that is making them dramatically more powerful, and the new risks that come with that power.
You will learn:
- Why complexity made human management of large-scale systems impossible — and what replaced it
- How the MAPE-K framework turns raw monitoring data into autonomous action
- What deep reinforcement learning actually does inside today's cloud platforms
- How the world's most reliable systems are designed to fail gracefully rather than catastrophically
- Where autonomous systems are being deployed right now — in healthcare, manufacturing, energy, finance, and transportation
- The five risks that every leader must understand before expanding autonomous authority
- What responsible autonomy looks like in practice — and what it demands of the humans still in the loop
The 2003 Northeast Blackout. The AWS S3 outage. The Flash Crash of 2010. These were not flukes. They were the predictable consequences of systems whose complexity had outgrown humans' ability to manage them in real time. The response — two decades of engineering effort that produced the self-managing systems now running the world — is one of the most consequential and least understood stories in the history of technology.
Machines That Heal Themselves tells that story. And it gives every leader who reads it the framework to engage with autonomous systems not as a passive user, but as an informed decision-maker.
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Machines That Heal Themselves (Paperback)
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Paperback. Zustand: new. Paperback. The infrastructure that runs your world is managing itself. Do you understand what that means?Every time you make a payment, stream a video, board a flight, or check a medical result, you are depending on systems so vast and so complex that no human team could manage them manually. The cloud platforms, power grids, financial networks, and hospital systems that modern life runs on are monitored, repaired, optimized, and protected - continuously, automatically, at machine speed - by software that was designed to manage itself.This is not science fiction. It is the operational reality of every major organization on earth. And most of the leaders responsible for these organizations don't fully understand how it works - or what happens when it doesn't.Machines That Heal Themselves is the definitive guide for non-technical leaders who need to understand autonomous systems: what they can do, how they fail, and what responsible management requires.Drawing on decades of research and hands-on engineering at IBM and in the field of autonomic computing, Dr. Mircea Mihaescu explains the architecture behind self-managing systems - the four core capabilities that make them work, the feedback loops that keep them stable, the AI that is making them dramatically more powerful, and the new risks that come with that power.You will learn: Why complexity made human management of large-scale systems impossible - and what replaced itHow the MAPE-K framework turns raw monitoring data into autonomous actionWhat deep reinforcement learning actually does inside today's cloud platformsHow the world's most reliable systems are designed to fail gracefully rather than catastrophicallyWhere autonomous systems are being deployed right now - in healthcare, manufacturing, energy, finance, and transportationThe five risks that every leader must understand before expanding autonomous authorityWhat responsible autonomy looks like in practice - and what it demands of the humans still in the loopThe 2003 Northeast Blackout. The AWS S3 outage. The Flash Crash of 2010. These were not flukes. They were the predictable consequences of systems whose complexity had outgrown humans' ability to manage them in real time. The response - two decades of engineering effort that produced the self-managing systems now running the world - is one of the most consequential and least understood stories in the history of technology.Machines That Heal Themselves tells that story. And it gives every leader who reads it the framework to engage with autonomous systems not as a passive user, but as an informed decision-maker. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9798995120322
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Paperback. Zustand: new. Paperback. The infrastructure that runs your world is managing itself. Do you understand what that means?Every time you make a payment, stream a video, board a flight, or check a medical result, you are depending on systems so vast and so complex that no human team could manage them manually. The cloud platforms, power grids, financial networks, and hospital systems that modern life runs on are monitored, repaired, optimized, and protected - continuously, automatically, at machine speed - by software that was designed to manage itself.This is not science fiction. It is the operational reality of every major organization on earth. And most of the leaders responsible for these organizations don't fully understand how it works - or what happens when it doesn't.Machines That Heal Themselves is the definitive guide for non-technical leaders who need to understand autonomous systems: what they can do, how they fail, and what responsible management requires.Drawing on decades of research and hands-on engineering at IBM and in the field of autonomic computing, Dr. Mircea Mihaescu explains the architecture behind self-managing systems - the four core capabilities that make them work, the feedback loops that keep them stable, the AI that is making them dramatically more powerful, and the new risks that come with that power.You will learn: Why complexity made human management of large-scale systems impossible - and what replaced itHow the MAPE-K framework turns raw monitoring data into autonomous actionWhat deep reinforcement learning actually does inside today's cloud platformsHow the world's most reliable systems are designed to fail gracefully rather than catastrophicallyWhere autonomous systems are being deployed right now - in healthcare, manufacturing, energy, finance, and transportationThe five risks that every leader must understand before expanding autonomous authorityWhat responsible autonomy looks like in practice - and what it demands of the humans still in the loopThe 2003 Northeast Blackout. The AWS S3 outage. The Flash Crash of 2010. These were not flukes. They were the predictable consequences of systems whose complexity had outgrown humans' ability to manage them in real time. The response - two decades of engineering effort that produced the self-managing systems now running the world - is one of the most consequential and least understood stories in the history of technology.Machines That Heal Themselves tells that story. And it gives every leader who reads it the framework to engage with autonomous systems not as a passive user, but as an informed decision-maker. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9798995120322
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