How to improve the efficiency of the devops
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According to the report, the key to digital transformation is corporate culture. Highly effective DevOps teams need a culture of trust and psychological security, an understanding of performance and clear goals. This environment allows team members to make informed decisions, express their opinions and be more creative.
Cloud technology, continuous delivery, disaster recovery testing and change management can also help improve software development and delivery efficiency. Productivity can be improved by investing in easy-to-use tools, reducing technical debt, i.e. reducing the percentage of inefficient code and outdated technologies, organizing the corporate knowledge base and access to external solutions.
Cloud technologies contribute to the success of DevOps
In 2020, more and more organizations are choosing cloud solutions that will significantly improve the performance of DevOps teams.
Platform as a Service (PaaS) is increasingly moving towards a deployment model centered around containers. Cloud platforms simplify software deployment, so teams need only worry about executing the application code itself. Scaling, resource planning, infrastructure administration and maintenance are also shifting to the provider side.
For cloud providers, providing a variety of services becomes a universal standard: virtual machine networks, identity and access management (IAM), storage and databases, machine learning, Internet of Things (IoT), container solutions, security solutions and more.
Customers of cloud providers pay only for the resources they use, which ensures cost transparency, unlike traditional data centers where development cost information is difficult or impossible to obtain. Respondents from companies that meet the cloud characteristics listed above are 2.6 times more accurate in assessing software costs, 2 times more likely to understand which applications consume more resources, and 1.65 times more likely to remain within their IT budget.
Sometimes it turns out that to hire a competent specialist and take the allocated capacity in the data center is more profitable than to pay for the cloud. Which option is better depends on the profile and scale of the company, the presence of its own staff of IT-specialists and expertise. For example, the cloud is convenient to use at the start of a business or if the company does not have its own IT-department. When scaling, it may be more cost-effective to maintain the entire infrastructure or part of it on-premise.
There is nothing surprising in the growth of devops service providers efficiency, it is natural: the DevOps philosophy is popular now, and the number of startups is growing. But in the research the experts chose not quite correct parameters of DevOps efficiency estimation. It’s strange to estimate it by the code rolling out speed, at least. It applies only to startups where the key parameter is the speed of product launch, and often the product is released raw. Under such conditions, mechanisms that speed up development and delivery to production are vital. But for established software, for example, financial or medical, the failure rate parameter may not exist – failures may be unacceptable.
The same way with service recovery time: for any developed service it should be counted in seconds, and for many services it is simply unacceptable, for this purpose they invented seamless rolling out technologies (for example, green/blue). Also, one should not focus on the number of code deployments – it depends on the need and competence of the development team. If the deployment involves adding new functionality, that’s one thing, and if it involves correcting mistakes made during previous deployments, that’s completely different.