Source: thenewstack.io
DevOps Productivity: Have We Reached Its Limits?Category: Data, automation, artificial-intelligence
But productivity is another driving force that has led to its massive popularity.
But while DevOps has led to increased innovation as well as smoother, less interrupted workflows, one thing still stands in the way of experiencing the full potential of DevOps productivity: cloud management. Now that DevOps and the cloud have practically become synonymous, DevOps is running into challenges that impair productivity and agility.
Some of the problems they run into with that approach include: Managing the cloud requires DevOps engineers to leverage real-time data on current usage patterns, as well as future predictions, to account for scale.
The grunt work of cloud management, therefore, is often seen as an obstacle to DevOps productivity as it requires constant monitoring, configuration and adjustments.
But while DevOps has led to increased innovation as well as smoother, less interrupted workflows, one thing still stands in the way of experiencing the full potential of DevOps productivity: cloud management. Now that DevOps and the cloud have practically become synonymous, DevOps is running into challenges that impair productivity and agility.
Some of the problems they run into with that approach include: Managing the cloud requires DevOps engineers to leverage real-time data on current usage patterns, as well as future predictions, to account for scale.
The grunt work of cloud management, therefore, is often seen as an obstacle to DevOps productivity as it requires constant monitoring, configuration and adjustments.
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