An Interesting Agile principle adoption for the DevOps team. Hope the below is good to take on this interesting topic for discussion
XOps Began with DevOps
Agile software development practices have been bubbling up to the business for some time. Since the dawn of the millennium, business leaders have been told their companies need to be more agile just to stay competitive.
Meanwhile, many agile software development teams have adopted DevOps and increasingly they’ve gone a step further by embracing continuous integration/continuous delivery (CI/CD) which automates additional tasks to enable an end-to-end pipeline that provides visibility throughout and smoother process flows than the traditional waterfall handoffs. Like DevOps, DataOps, MLOps, and AIOps are cross-functional endeavors focused on continuous improvement, efficiency and process improvement.
Agile software development practices have been emerging in enterprises for some time. Business leaders have repeatedly been told that their companies need to be more agile to remain competitive. Simultaneously though, many agile software development teams have adopted DevOps to automate additional tasks, and the adoption of Continuous Integration/Continuous Delivery (CI/CD) enables an end-to-end pipeline, thus providing visibility and smoothness to the entire process compared with the traditional waterfall methodologies. DevOps, CloudOps, DataOps, MLOps and AIOps are all cross-functional dedicated to continuous improvement, efficiency and process improvement.
XOPS USES A PRINCIPLED APPROACH TO PLATFORM ENGINEERING AND DEVOPS
DataOps and MLOps are Two crucial waves of operationalization (XOps)
What is AIOps? Artificial intelligence operations (AIOps) describes the process by which an organization employs artificial intelligence technologies to augment the systems that are charged with handling IT-related operations.
Hi @Evgeny Belenky ,
An Interesting Agile principle adoption for the DevOps team. Hope the below is good to take on this interesting topic for discussion
XOps Began with DevOps
Agile software development practices have been bubbling up to the business for some time. Since the dawn of the millennium, business leaders have been told their companies need to be more agile just to stay competitive.
Meanwhile, many agile software development teams have adopted DevOps and increasingly they’ve gone a step further by embracing continuous integration/continuous delivery (CI/CD) which automates additional tasks to enable an end-to-end pipeline that provides visibility throughout and smoother process flows than the traditional waterfall handoffs. Like DevOps, DataOps, MLOps, and AIOps are cross-functional endeavors focused on continuous improvement, efficiency and process improvement.
Agile software development practices have been emerging in enterprises for some time. Business leaders have repeatedly been told that their companies need to be more agile to remain competitive. Simultaneously though, many agile software development teams have adopted DevOps to automate additional tasks, and the adoption of Continuous Integration/Continuous Delivery (CI/CD) enables an end-to-end pipeline, thus providing visibility and smoothness to the entire process compared with the traditional waterfall methodologies. DevOps, CloudOps, DataOps, MLOps and AIOps are all cross-functional dedicated to continuous improvement, efficiency and process improvement.
XOPS USES A PRINCIPLED APPROACH TO PLATFORM ENGINEERING AND DEVOPS
DataOps and MLOps are Two crucial waves of operationalization (XOps)