Overview of the AWS edge computing toolbox – Getting Started with Edge Computing on AWS
The AWS edge computing strategy aims to provide a comprehensive suite of services and solutions that enable businesses to harness the power of edge computing, addressing the challenges of data processing, latency, security, and scalability. By bringing AWS services and resources closer to end users and devices, this strategy allows organizations to optimize their applications
Supervisory Control and Data Acquisition – Getting Started with Edge Computing on AWS
Supervisory Control and Data Acquisition (SCADA) systems are used in industrial settings to monitor and control processes and infrastructure in various industries – including manufacturing, utilities, oil and gas, water management, and transportation. SCADA systems enable real-time data collection and processing from remote equipment, allowing operators to supervise and manage industrial processes from a centralized
Legacy IIoT networking technologies – Getting Started with Edge Computing on AWS
Legacy industrial automation systems relied on a variety of networks and protocols to facilitate communication and control among devices, machines, and systems. Examples include MODBUS, PROFINET, EtherCAT, and Fieldbus. These networks were typically closed systems – islands unto themselves. They were also developed at a time when such devices were limited in number and directly
Specialized requirements – Getting Started with Edge Computing on AWS
Immersive experiences rely heavily on real-time user interactions, and any delay or lag can significantly degrade the user experience. AWS edge computing services can help to minimize latency by processing data closer to the source, thereby reducing the time taken to transmit data between the user’s device and the data center. Services such as AWS
Denied – Getting Started with Edge Computing on AWS
In certain situations, network access can be actively denied or restricted due to security concerns, regulatory requirements, or other factors. Edge computing solutions must be able to adapt to these constraints by offering secure and compliant data processing and storage capabilities. The classic example is forward-deployed military command posts. While in hostile territories, they may
Disconnected, denied, intermittent, or low-bandwidth – Getting Started with Edge Computing on AWS
While the specific term Disconnected, Denied, Intermittent, or Low-bandwidth (DDIL) emerged from the US Department of Defense, it captures well the circumstances faced by a group of use cases seen across industries. It refers to edge computing in situations where network connectivity is unreliable, constrained, or completely unavailable. In such scenarios, traditional cloud-based computing approaches
The intersection of cloud and edge computing – Getting Started with Edge Computing on AWS
In recent years, a new operating model known as “edge computing” has emerged as a key enabler of digital transformation strategies across a variety of industries and organization types 1. The exponential growth of data generated by an ever-increasing number of connected devices, coupled with an insatiable appetite for real-time processing and analysis, has driven
Archives
- August 2024
- July 2024
- June 2024
- May 2024
- April 2024
- March 2024
- February 2024
- January 2024
- December 2023
- November 2023
- October 2023
- September 2023
- August 2023
- July 2023
- May 2023
- April 2023
- February 2023
- January 2023
- November 2022
- October 2022
- September 2022
- August 2022
- July 2022
- June 2022
- May 2022
- April 2022
- December 2021
- November 2021
- October 2021
- September 2021
- June 2021
Calendar
| M | T | W | T | F | S | S |
|---|---|---|---|---|---|---|
| 1 | 2 | |||||
| 3 | 4 | 5 | 6 | 7 | 8 | 9 |
| 10 | 11 | 12 | 13 | 14 | 15 | 16 |
| 17 | 18 | 19 | 20 | 21 | 22 | 23 |
| 24 | 25 | 26 | 27 | 28 | 29 | 30 |
| 31 | ||||||