The modern enterprise applications rapidly adopted cloud-computing technology which emerged to new application classification termed as “ Cloud-Native”.
The cloud-Native application can be defined in simple terms as the enterprise application which has been specifically designed and developed on cloud infrastructure. It means cloud-native applications are open-source software stack to deploy applications as microservices and packaging each part into its own container and dynamically orchestrating those containers to optimize resource utilization.
To know more on cloud-native and microservices refer to our blog Cloud-native 10 key attributes to choose microservices over monolithic.
Let’s directly start discussing how this cloud-native stack benefits enterprise business?
As technology grows, the IT sector spreads its arms worldwide and business grows rapidly, which leads to high business competition and increased consumer needs. To stabilize both, one should constantly upgrade and evolve the business’s technology infrastructure to roll-out new services and offerings through digital channels. Introducing and adapting to new technology involve heavy costs and time which will eat up overall IT budgets.
The features of the cloud-native stack include elastic computing, auto-scaling, metered billing, and pay-per-use models, helps organizations move away from costly always-on infrastructure and redirect those savings toward new feature development. Second, indirect cost savings can also arise from the increased flexibility and reduced downtime that can result from the redundancy, fault tolerance, loosely coupled services, and auto-recovery automated by cloud-native architectures.
Agility and Automation:
The real challenging factor for an organization while competing with others is building and deploying features in a rapid, secure, and reliable way. The customers attract only for more featured and updated technology or application and the organization will put all its effort to stabilize this. Users and IT enjoy the convenience of automatic updates and new features without experiencing interruptions to their work, increasing business agility.
Continuous Integration and Continuous Delivery (CI/CD) finds one of the most important cloud-native features that benefit to a great extent for the enterprise. Generally, CI/CD helps to rapidly test and push new code to production. Enterprises can bring new technology to production within minutes or hours instead of weeks and months, which leads to a greater rate of innovation and competitiveness. By taking an automated, cloud-native approach to the development pipeline, the new features are released sooner and also it does not involve taking the services offline for maintenance or batching development into large updates. According to the 2019 CNCF survey, the majority of respondents (40%) have adopted Automated release cycles. For analysis, a continual, automated monitoring service allows you to watch over your system’s health, usage, and behavior so you can continue to iterate and optimize your architecture.
The following bar graph shows the recent survey of CNCF recorded the adoption of CI/CD by Enterprise.
Some 82% of respondents use CI/CD pipelines in production, with 10% evaluating and 4% planning to run CI/CD in the next 12 months. The three most used CI/CD tools are Jenkins (53%), GitLab (36%), and GitHub Actions (20%).
Security, Scalability and Flexibility:
In the worst-case scenario, such as power-out, the surge in demand or faulty deployment etc, the application or the architecture should not break out. This is one of the most difficult problems when designing an on-premises system. The computation resource management is to be handled brilliantly, where it should not either be wasted or insufficient. But these problems can be easily solved by shifting to cloud-native technology.
The cloud-Native architecture provides developers with a low-risk method of reverting changes, clearing the way for innovation. With the ability to cleanly rollback, recovery from disaster in the case of a cluster meltdown is also faster. Higher uptime guarantees mean businesses are more competitive and can offer more stringent service level agreements and a better quality of service. On-demand elastic scaling or cloud bursting offers near limitless scaling of compute, storage and other resources. Enterprises can take advantage of built-in scalability to match any demand profile without the need for extra infrastructure planning or provisioning.
The CNCF survey shows that the majority (71%) of respondents plan to auto-scale their stateless applications, followed by 34% for task/queue processing applications, and 33% of stateful applications.
Through a containerization solution such as Docker or Kubernetes, your application can be broken down into small, modular components that are readily adjustable to your business needs. Each of your containers can easily be created or destroyed to dynamically match demand, resulting in the best fit and lowest costs at all times. Further, containers maximize availability, minimizing the downtime from upgrades, patches and system failures. If containers fail or encounter errors, they are self-healing and can be quickly replaced or rolled back.
Security threats to enterprise systems and data are the greatest ever. Cloud-native security offers a transformative way to reduce risk in the enterprise based on three principles: 1. repair vulnerable software as soon as updates are available. 2. frequently repave servers and applications from a known-good state. 3. rotate user credentials often.
Adopting Cloud-Native technology enables new value to organizations at each level of maturity. Most enterprises today are moving to Cloud-Native rapidly and gaining maximum benefits and improving their business skills. With the resulting savings in hand, they can now move further along the endurance toward cloud-native stack for better innovation, more advanced transformation, and a richer customer experience. According to the recent CNCF survey, For those using containers and cloud-native projects in production, 51% ranked the top benefits like improved scalability and shorter deployment time, while 44% selected improved availability.
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