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Observability with Eduardo Silva
Manage episode 379554284 series 1437556
 There are hundreds of observability companies out there, and many ways to think about observability, such as application performance monitoring, server monitoring, and tracing. In a production application, multiple tools are often needed to get proper visibility on the application. This creates some challenges. Applications can produce lots of different observatory observability data, but how should the data be routed to the various downstream tools? In addition, how can data be selectively sent to different storage tiers to minimize costs?
There are hundreds of observability companies out there, and many ways to think about observability, such as application performance monitoring, server monitoring, and tracing. In a production application, multiple tools are often needed to get proper visibility on the application. This creates some challenges. Applications can produce lots of different observatory observability data, but how should the data be routed to the various downstream tools? In addition, how can data be selectively sent to different storage tiers to minimize costs?
 This episode is hosted by Lee Atchison. Lee Atchison is a software architect, author, and thought leader on cloud computing and application modernization. His best-selling book, Architecting for Scale (O’Reilly Media), is an essential resource for technical teams looking to maintain high availability and manage risk in their cloud environments.
This episode is hosted by Lee Atchison. Lee Atchison is a software architect, author, and thought leader on cloud computing and application modernization. His best-selling book, Architecting for Scale (O’Reilly Media), is an essential resource for technical teams looking to maintain high availability and manage risk in their cloud environments.The post Observability with Eduardo Silva appeared first on Software Engineering Daily.
228 قسمت
Manage episode 379554284 series 1437556
 There are hundreds of observability companies out there, and many ways to think about observability, such as application performance monitoring, server monitoring, and tracing. In a production application, multiple tools are often needed to get proper visibility on the application. This creates some challenges. Applications can produce lots of different observatory observability data, but how should the data be routed to the various downstream tools? In addition, how can data be selectively sent to different storage tiers to minimize costs?
There are hundreds of observability companies out there, and many ways to think about observability, such as application performance monitoring, server monitoring, and tracing. In a production application, multiple tools are often needed to get proper visibility on the application. This creates some challenges. Applications can produce lots of different observatory observability data, but how should the data be routed to the various downstream tools? In addition, how can data be selectively sent to different storage tiers to minimize costs?
 This episode is hosted by Lee Atchison. Lee Atchison is a software architect, author, and thought leader on cloud computing and application modernization. His best-selling book, Architecting for Scale (O’Reilly Media), is an essential resource for technical teams looking to maintain high availability and manage risk in their cloud environments.
This episode is hosted by Lee Atchison. Lee Atchison is a software architect, author, and thought leader on cloud computing and application modernization. His best-selling book, Architecting for Scale (O’Reilly Media), is an essential resource for technical teams looking to maintain high availability and manage risk in their cloud environments.The post Observability with Eduardo Silva appeared first on Software Engineering Daily.
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