Why Serverless Computing is Dead
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Welcome to our deep dive into the changing world of cloud computing! In this video, we explore the fascinating journey of serverless computing, from its initial rise and widespread adoption to its gradual decline. Serverless computing once revolutionized the cloud landscape by offering simplified infrastructure management and seamless scalability. However, the term became diluted over time, leading to confusion and a loss of perceived value.
We also discuss the emergence of edge computing and microclouds, which provide more tailored solutions to specific business needs, overshadowing traditional serverless models. The explosion of AI-driven solutions has shifted focus away from serverless, as AI demands specialized compute resources that serverless frameworks may not support. Additionally, the need for continuous, low-latency processing in ubiquitous computing has marginalized serverless in favor of more integrated solutions.
Despite its decline, the core principles of serverless computing—agility, cost-efficiency, and scalability—remain valuable. We explain how businesses can adapt their strategies to leverage new technologies while retaining these essential benefits. Join us for a comprehensive look at these trends and learn how to navigate the evolving cloud computing landscape. Don’t forget to like, subscribe, and hit the notification bell for more insightful content on technology and business!
Bio:
With over 30 years of experience in enterprise technology, David Linthicum is a globally recognized thought leader, innovator, and influencer in cloud computing, AI, and cybersecurity. He authorizes over 17 best-selling books, over 7,000 articles, and over 50 courses on LinkedIn Learning. He is also a frequent keynote speaker, podcast host, and media contributor on digital transformation, cloud architecture, AI, and cloud security topics.
He drives new market offerings, service innovation, and thought leadership outreach, leveraging his extensive knowledge and experience in generative AI and cloud computing for business agility and growth. David is passionate about educating and empowering the next generation of cloud professionals, as he is an adjunct instructor for Louisiana State University and a mentor.
Reference(s) for this video:
https://www.infoworld.com/article/251...
Where you can find me:
My Gen AI Architecture Course on GoCloudCareers:
https://www.gocloudarchitects.com/gen...
My InfoWorld Blog: https://www.infoworld.com/author/Davi...
Follow me on LinkedIn: LinkedIn: davidlinthicum
Follow me in X/Twitter: Twitter: davidlinthicum
My LinkedIn learning courses: LinkedIn: david-linthicum
My latest book: https://www.amazon.com/Insiders-Guide...
Video sponsorship opportunities: Email me at [email protected]
Talking points:
What is serverless computing? 00:35
• Serverless computing is a computing execution model in which the cloud provider dynamically manages the allocation and provisioning of server resources.
• Developers can run code in response to events without managing the infrastructure, allowing them to focus solely on writing and deploying application logic.
• Pricing is typically based on the actual amount of resources consumed by the application rather than pre-purchased units of capacity.
Serverless computing offerings: 03:36
1. AWS Lambda: Allows developers to run code in response to events without provisioning or managing servers.
2. Azure Functions: A serverless compute service that lets you run event-triggered code without managing infrastructure.
3. Google Cloud Functions: Allows code execution in response to events and supports stateless code running environments.
Pros: 04:56
• Speed-to-deployment.
• Simplicity
Cons: 05:56
Here are some factors contributing to serverless fading away:
1. Complexity of Advanced Use Cases:
2. Cold Start Latency:
3. Cost Efficacy at Scale:
4. Vendor Lock-In:
5. Limited Execution Time and Resources:
6. Debugging and Monitoring:
7. Security Concerns:
8. Event-Driven Programming Model:
The Rise and Fall of Serverless Computing: 11:33
• Initial Promise:
• Dilution of Meaning:
• Strategic Role:
Impact of Generative AI: 13:15
• Specialized Compute Resources:
• Shift in Priorities:
Lessons and Strategic Adjustments: 14:31
• Core Principles Remain Valuable:
• Adaptive Strategies:
Welcome to our deep dive into the changing world of cloud computing! In this video, we explore the fascinating journey of serverless computing, from its initial rise and widespread adoption to its gradual decline. Serverless computing once revolutionized the cloud landscape by offering simplified infrastructure management and seamless scalability. However, the term became diluted over time, leading to confusion and a loss of perceived value.
We also discuss the emergence of edge computing and microclouds, which provide more tailored solutions to specific business needs, overshadowing traditional serverless models. The explosion of AI-driven solutions has shifted focus away from serverless, as AI demands specialized compute resources that serverless frameworks may not support. Additionally, the need for continuous, low-latency processing in ubiquitous computing has marginalized serverless in favor of more integrated solutions.
Despite its decline, the core principles of serverless computing—agility, cost-efficiency, and scalability—remain valuable. We explain how businesses can adapt their strategies to leverage new technologies while retaining these essential benefits. Join us for a comprehensive look at these trends and learn how to navigate the evolving cloud computing landscape. Don’t forget to like, subscribe, and hit the notification bell for more insightful content on technology and business!
Bio:
With over 30 years of experience in enterprise technology, David Linthicum is a globally recognized thought leader, innovator, and influencer in cloud computing, AI, and cybersecurity. He authorizes over 17 best-selling books, over 7,000 articles, and over 50 courses on LinkedIn Learning. He is also a frequent keynote speaker, podcast host, and media contributor on digital transformation, cloud architecture, AI, and cloud security topics.
He drives new market offerings, service innovation, and thought leadership outreach, leveraging his extensive knowledge and experience in generative AI and cloud computing for business agility and growth. David is passionate about educating and empowering the next generation of cloud professionals, as he is an adjunct instructor for Louisiana State University and a mentor.
Reference(s) for this video:
https://www.infoworld.com/article/251...
Where you can find me:
My Gen AI Architecture Course on GoCloudCareers:
https://www.gocloudarchitects.com/gen...
My InfoWorld Blog: https://www.infoworld.com/author/Davi...
Follow me on LinkedIn: LinkedIn: davidlinthicum
Follow me in X/Twitter: Twitter: davidlinthicum
My LinkedIn learning courses: LinkedIn: david-linthicum
My latest book: https://www.amazon.com/Insiders-Guide...
Video sponsorship opportunities: Email me at [email protected]
Talking points:
What is serverless computing? 00:35
• Serverless computing is a computing execution model in which the cloud provider dynamically manages the allocation and provisioning of server resources.
• Developers can run code in response to events without managing the infrastructure, allowing them to focus solely on writing and deploying application logic.
• Pricing is typically based on the actual amount of resources consumed by the application rather than pre-purchased units of capacity.
Serverless computing offerings: 03:36
1. AWS Lambda: Allows developers to run code in response to events without provisioning or managing servers.
2. Azure Functions: A serverless compute service that lets you run event-triggered code without managing infrastructure.
3. Google Cloud Functions: Allows code execution in response to events and supports stateless code running environments.
Pros: 04:56
• Speed-to-deployment.
• Simplicity
Cons: 05:56
Here are some factors contributing to serverless fading away:
1. Complexity of Advanced Use Cases:
2. Cold Start Latency:
3. Cost Efficacy at Scale:
4. Vendor Lock-In:
5. Limited Execution Time and Resources:
6. Debugging and Monitoring:
7. Security Concerns:
8. Event-Driven Programming Model:
The Rise and Fall of Serverless Computing: 11:33
• Initial Promise:
• Dilution of Meaning:
• Strategic Role:
Impact of Generative AI: 13:15
• Specialized Compute Resources:
• Shift in Priorities:
Lessons and Strategic Adjustments: 14:31
• Core Principles Remain Valuable:
• Adaptive Strategies:
ماه قبل
در تاریخ 1403/04/22 منتشر شده
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