DevOps - Blog Posts
How the Importance of DevOps for Data Science is Growing
DevOps consists of infrastructure provisioning, continuous integration, and deployment, configuration management, monitoring, and testing. DevOps teams and development teams have been working closely to manage the lifecycle of applications effectively.
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How DevOps provides 360 Degree Support for a project Lifecycle
DevOps platform provides flexibility to implement any new combination of tools according to a business requirement.
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Expanding DevOps Strategy for Smarter Business Applications
Patrick Debois coined the term DevOps, which is described as an integrated approach of software development teams as well as IT operation teams working collaboratively in achieving the specific task. With evolvement in technologies, it has become the key focus in reforming the future of the software industry, and its recognition is going to peak in 2018.
In practice, to achieve DevOps effectively, the developed software should meet certain architecturally requirement standards such as modifiable, monitor ability, feasibility, and deploy ability in an acceptable limit and effective manner.
Complete Article Here: Expanding DevOps Strategy for Smarter Business Applications
DevOps Strategy for Business Applications
Patrick Debois coined the term DevOps, which is described as an integrated approach of software development teams as well as IT operation teams working collaboratively in achieving the specific task. With evolvement in technologies, it has become the key focus in reforming the future of the software industry, and its recognition is going to peak in 2018.
In practice, to achieve DevOps effectively, the developed software should meet certain architecturally requirement standards such as modifiability, monitorability, feasibility, and deployability in an acceptable limit and effective manner.
Furthermore, in DevOps model management workflows, the automated pipelines developed helps to retrain, reselect, and redeploy the production models more stable and efficiently along with deploying AI based ML-driven approaches to achieve the demands of an enterprise. This process will provide a more clear infrastructural model accelerating as Infrastructure as Service and Database as a service through DevOps.
Complete article Here: Expanding DevOps Strategy for Smarter Business Applications
10 Most Effective Ways for Successful DevOps Implementation
The worldwide adoption of DevOps by organizations symbolizes that it is the key component to scale up. Proper execution of DevOps practices helps organizations deliver better, faster, reliable and high-quality software depending on the culture of collaboration. It calls for fundamental cultural change, modification, and improvement of programming practices.
Here are the 10 most effective ways to implement DevOps successfully:
1) Aligning IT and Business Goals
It begins with aligning your IT goals with your business goals. The development process for the business goals should demand this change. Implementation of DevOps just because it is the latest trend will not fetch results.
2) Breaking down silos
Information silos can hinder the progress of an organization. DevOps aims to break those silos and deletion of these barriers from an organization can improve communication among the teams and maintain a flow and accessibility to information which helps in better decision making, in turn, better output and ideas.
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