LATEST INTELLIGENCE
THE ROAD TO DEVOPS SUCCESS
aAchieve CI / CD with machine data
The digital economy moves at Internet speed . Accordingly , businesses must deliver and refine new software and services faster than ever – with agile , iterative software development and delivery . Frequent , smaller updates empower developers to rapidly try new features and limit the risk of breaking something critical . They also keep apps fresh and top-of-mind with customers and enable quick responses to threats and changes to the business .
Rapid app release cycles are common in digital businesses , where organizations are being reshaped by technologies like cloud services with softwaredefined infrastructure , mobile apps and social communication channels . These cycles have prompted new architectures , design patterns , application stacks and continuous delivery release trains .
Yet , the hopes and dreams of DevOps devotees are often dashed on the rocks of organizational reality . DevOps doesn ’ t always live up to its promises , often due to technological and bureaucratic complexity .
Creating an agile , responsive , data-driven culture and supporting processes is easier said than done . While there are many challenges along the way , machine data collection and analysis are frequent blockers to achieving DevOps excellence .
Machine data comes from applications , cloud , infrastructures , containers , mobile apps , databases , the IoT , streaming network data and more . p
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DevOps , a full lifecycle approach based on a culture of collaboration , is emerging as the leading way to develop , deliver and support applications . Businesses that adopt DevOps move faster , enabling them to keep up with customer demands in an ever-changing digital world .
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