Coté

“During that first month, Walsh’s disbelief and even fear about what was happening in the White House moved her to think about quitting. Every day after that became a countdown toward the moment she knew she wouldn’t be able to take it anymore. To Walsh, the proud political pro, the chaos, the rivalries, and the president’s own lack of focus were simply incomprehensible. In early March, not long before she left, she confronted Kushner with a simple request.

“During that first month, Walsh’s disbelief and even fear about what was happening in the White House moved her to think about quitting. Every day after that became a countdown toward the moment she knew she wouldn’t be able to take it anymore. To Walsh, the proud political pro, the chaos, the rivalries, and the president’s own lack of focus were simply incomprehensible. In early March, not long before she left, she confronted Kushner with a simple request.

“During that first month, Walsh’s disbelief and even fear about what was happening in the White House moved her to think about quitting. Every day after that became a countdown toward the moment she knew she wouldn’t be able to take it anymore. To Walsh, the proud political pro, the chaos, the rivalries, and the president’s own lack of focus were simply incomprehensible. In early March, not long before she left, she confronted Kushner with a simple request.

“WP Engine also announced it reached more than $100 million in annual recurring revenue with over 75,000 customers globally, up 30 percent year-over-year.” Link to original

“WP Engine also announced it reached more than $100 million in annual recurring revenue with over 75,000 customers globally, up 30 percent year-over-year.” Link to original

“WP Engine also announced it reached more than $100 million in annual recurring revenue with over 75,000 customers globally, up 30 percent year-over-year.” Link to original

This is especially true in “industrial Internet of Things” applications, where the likes of ABB and GE collect data from sensors on their equipment and analyze it to help with things like predictive maintenance and capacity planning. Often, for performance and/or security reasons, the compute gear that does the analytics is placed directly on oil rigs, power plants, factory floors, in mines, and so on. Sometimes it’s connected to the cloud, and sometimes it isn’t.

This is especially true in “industrial Internet of Things” applications, where the likes of ABB and GE collect data from sensors on their equipment and analyze it to help with things like predictive maintenance and capacity planning. Often, for performance and/or security reasons, the compute gear that does the analytics is placed directly on oil rigs, power plants, factory floors, in mines, and so on. Sometimes it’s connected to the cloud, and sometimes it isn’t.

This is especially true in “industrial Internet of Things” applications, where the likes of ABB and GE collect data from sensors on their equipment and analyze it to help with things like predictive maintenance and capacity planning. Often, for performance and/or security reasons, the compute gear that does the analytics is placed directly on oil rigs, power plants, factory floors, in mines, and so on. Sometimes it’s connected to the cloud, and sometimes it isn’t.

Matt takes stock ok kubernetes. Link to original