7 Key Principles for a
Successful DevOps Culture
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As we move into 2019, the demand for rapid and constantly improving digital experiences has never been higher. To match the market’s demands, brands are adopting a DevOps culture to streamline the development, deployment, management and maintenance of software at scale. Here’s everything you need to know about DevOps, and the DevOps principles necessary to be successful. • •
What is DevOps? DevOps isn’t a “thing,” it’s a set of principles which lay the fundamental groundwork of DevOps culture. The primary objectives of the DevOps methodology are to speed up the time to market, apply incremental improvements in response to the changing environment, and create a more streamlined development process.
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The fastest way to a DevOps environment is to combine the development team with the operations team, forcing them to collaborate and communicate more. But, to truly achieve a DevOps culture, you’ll need to follow some key principles for a smooth transition.
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1. Foster a Collaborative Environment •
The main theory behind DevOps is to combine development and operations to create a unilateral team that focuses on delivering common objectives. For brands to achieve this, they need to encourage development and operations to regularly communicate, share ideas and problem-solve together.
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2. Impose End-to-End Responsibility •
In the traditional software development model, developers and operations had separate roles. But in DevOps, both groups work as a team that is fully accountable for the application from beginning to end. “One of the core principles of DevOps is the control and responsibility of services from "concept to grave." Traditionally, developers wrote code and operations deployed that code, but that leads to all sorts of inefficiencies from differences in production to performance problems and unpredictable environments
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3. Encourage Continuous Improvement •
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End-to-end responsibility also means that brands must continuously adapt to changing circumstances, whether that may be the emergence of new technology, customer needs, or changes in legislation. DevOps places a strong focus on continuous improvement to optimize performance, cost and speed of delivery.
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4. Automate (Almost) Everything •
To strive for continuous improvement with high cycle rates and the ability to immediately respond to customer feedback, brands must utilize automated processes. Fortunately, there have been notable developments in automated tools to streamline processes including the CI/CD pipeline.
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5. Focus on the Customer’s Needs •
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DevOps requires brands to act like a lean startup that can innovate continuously, pivot when a strategy is no longer working, and invest in features to deliver customer satisfaction. DevOps teams must have one finger on the pulse to consistently meet the needs of ever-changing consumer demands. The data gathered from the automated processes must be constantly reviewed to ensure performance targets are met. However, to seamlessly deliver customer-centric action, it is imperative that brands focus on the right data. “Just because you capture metrics, that doesn't mean you should obsess on all of them. www.visualpath.in
6. Embrace Failure, and Learn From it • •
To fully embrace cloud computing through DevOps, a brand must change their attitude towards failure. By accepting failure, brands foster a “climate for learning” which will positively impact organizational culture. “When teams feel psychologically safe and are empowered to radically transform their work, failures can and will occur. When they do, it’s vital to turn those failures into opportunities to learn.
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7. Unite Teams — and Expertise •
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DevOps teams are required to be involved at every stage of the software development lifecycle, from planning, building, deployment, feedback and improvement. This requires a cross-functional team where each member is well-rounded and has a balanced set of skills. Since it is quite challenging to find a well-rounded IT professional, Miranda advises brands to encourage teams to share responsibility. “In practice, that doesn't mean that functional responsibilities erode, it means that practitioners with different areas of expertise all share responsibility for running your code in production
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