Understanding Cloud-Native Application Architecture Pattern
Before reading about Cloud Native Applications we must be aware of the term pattern, so in layman, term pattern is an art to figure out a good solution to the recurring problem in a conceptual form, such that this solution can then applied to existing use cases.
Types of Cloud-Native Application Architecture Pattern –
The role of this pattern is to make the foundation for reactive, a sync-communication between components in the cloud-native.
These patterns deal with the boundaries, i.e., boundary means where the system interacts with the external system like humans or other systems.
These patterns deal with the control flow for inter-component collaboration between boundary components in cloud-native.
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If you are undertaking a mobile app development for your start-up or enterprise, you are likely wondering whether to use React Native. As a popular development framework, React Native helps you to develop near-native mobile apps. However, you are probably also wondering how close you can get to a native app by using React Native. How native is React Native?
In the article, we discuss the similarities between native mobile development and development using React Native. We also touch upon where they differ and how to bridge the gaps. Read on.
Let’s briefly set the context first. We will briefly touch upon what React Native is and how it differs from earlier hybrid frameworks.
Although relatively new, React Native has acquired a high degree of popularity. The “Stack Overflow Developer Survey 2019” report identifies it as the 8th most loved framework. Facebook, Walmart, and Bloomberg are some of the top companies that use React Native.
The popularity of React Native comes from its advantages. Some of its advantages are as follows:
Are you wondering whether React Native is just another of those hybrid frameworks like Ionic or Cordova? It’s not! React Native is fundamentally different from these earlier hybrid frameworks.
React Native is very close to native. Consider the following aspects as described on the React Native website:
Due to these factors, React Native offers many more advantages compared to those earlier hybrid frameworks. We now review them.
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A multi-cloud approach is nothing but leveraging two or more cloud platforms for meeting the various business requirements of an enterprise. The multi-cloud IT environment incorporates different clouds from multiple vendors and negates the dependence on a single public cloud service provider. Thus enterprises can choose specific services from multiple public clouds and reap the benefits of each.
Given its affordability and agility, most enterprises opt for a multi-cloud approach in cloud computing now. A 2018 survey on the public cloud services market points out that 81% of the respondents use services from two or more providers. Subsequently, the cloud computing services market has reported incredible growth in recent times. The worldwide public cloud services market is all set to reach $500 billion in the next four years, according to IDC.
By choosing multi-cloud solutions strategically, enterprises can optimize the benefits of cloud computing and aim for some key competitive advantages. They can avoid the lengthy and cumbersome processes involved in buying, installing and testing high-priced systems. The IaaS and PaaS solutions have become a windfall for the enterprise’s budget as it does not incur huge up-front capital expenditure.
However, cost optimization is still a challenge while facilitating a multi-cloud environment and a large number of enterprises end up overpaying with or without realizing it. The below-mentioned tips would help you ensure the money is spent wisely on cloud computing services.
Most organizations tend to get wrong with simple things which turn out to be the root cause for needless spending and resource wastage. The first step to cost optimization in your cloud strategy is to identify underutilized resources that you have been paying for.
Enterprises often continue to pay for resources that have been purchased earlier but are no longer useful. Identifying such unused and unattached resources and deactivating it on a regular basis brings you one step closer to cost optimization. If needed, you can deploy automated cloud management tools that are largely helpful in providing the analytics needed to optimize the cloud spending and cut costs on an ongoing basis.
Another key cost optimization strategy is to identify the idle computing instances and consolidate them into fewer instances. An idle computing instance may require a CPU utilization level of 1-5%, but you may be billed by the service provider for 100% for the same instance.
Every enterprise will have such non-production instances that constitute unnecessary storage space and lead to overpaying. Re-evaluating your resource allocations regularly and removing unnecessary storage may help you save money significantly. Resource allocation is not only a matter of CPU and memory but also it is linked to the storage, network, and various other factors.
The key to efficient cost reduction in cloud computing technology lies in proactive monitoring. A comprehensive view of the cloud usage helps enterprises to monitor and minimize unnecessary spending. You can make use of various mechanisms for monitoring computing demand.
For instance, you can use a heatmap to understand the highs and lows in computing visually. This heat map indicates the start and stop times which in turn lead to reduced costs. You can also deploy automated tools that help organizations to schedule instances to start and stop. By following a heatmap, you can understand whether it is safe to shut down servers on holidays or weekends.
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There are few companies operating in today’s markets affected most recently as we are with the events of 2020 that have not undergone a digital transformation of some sort. Research shows that 80% of executives are accelerating plans to digitize work processes and deploy new technologies in response to the impact of COVID on the business world. The traditional model of business is undergoing radical change in an endeavour to employ digital technologies better to suit multiple purposes across a variety of sectors, and cloud native is one of the key drivers that re-architects cloud environments with the intent of adapting the means for how to deliver services. cloud native is a modern and advanced software development approach; which is why it is becoming of high importance to many companies.
But moving to a new software development approach is not easy, and organizations can be slow to adopt radical change in the interests of safeguarding their market, output and business. So, to mitigate risk, organizations can take a step-by-step approach to becoming cloud native in several phases, where they can first replicate the new approach on a smaller scale inside a department/team/project architecture to test the results. If positive, it is then possible to scale the approach organization-wide continuously till the whole enterprise cloud architecture becomes cloud native. If implemented correctly, the cloud native approach supports organizations to improve speed, agility, and resilience in the app development and management process.
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As users are becoming more and more sophisticated today, companies big and small should adjust their processes and practices to meet the demand. On-prem development proves cumbersome, time-consuming and expensive, while cloud-native architecture allows for better transparency, rapid innovation and quick changes. The article explores key benefits of cloud-native architecture for software product development.
Cloud-native architecture takes full advantage of the distributed, scalable and flexible nature of the public cloud to maximize your focus on quality coding, creating business value, and meeting customer needs.
Moving to the cloud means abstracting away many layers of infrastructure such as networks, servers, operating systems, etc., and deploying as much infrastructure as you need just in a matter of seconds by running a quick script.
As a software developer, all you need to worry about is how to organize the entire infrastructure via code. The more you focus on your code quality, the better.
And this is the essence of cloud technology.
Let’s say that based on your user feedback, you need to build a bill- splitting feature for your mobile banking app.
In the old world, you might first think about how you would deploy it, what networks you would need, what you are going to write it in, and so on. And what really matters (CODE! CLIENT!) slowly slides into the background as niche technical issues cloud the horizon.
In our brave new world, a decent cloud-native setup removes the need for servers, operating systems, orchestration layers, networking, etc., and puts your code at the center of everything you do.
You (or your team) can try everything at once: test hypotheses, experiment, use machine learning tools, and many more.
Questions like “what if we did this …?” can be challenged almost instantly in practice, which will provide you with a data-driven and informed response.
“When you are constrained by infrastructure, your ideas are blocked. When you want to test something, you are instantly hit by a brick wall which is hardware!” says Philippe Peron, Chief Delivery Officer of a Leicester-based software house Evolve. “And whichever solution you come up with, there will always be a trade-off based on the constraints of what you have in your data center. But compromises don’t always benefit customers!
When the cloud removes these limitations, you can focus less on technology and more on the customer experience. Think about your product, not pipelines. Fix bugs right in your application, not in database replication.”
All this means that you can move from idea to application as fast as you can/wish.
In the cloud world, your ideas collect feedback, not dust!
But cloud-native architecture offers many benefits beyond “it lets you focus on your code” concept. And this is what we are going to address now.
So how does cloud-native architecture unlock ideas?
Take a look at the image below. The User is at the top of a software development circle, while the development team is at the bottom.
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I want to provide a basic overview from my perspective, which I structured in the following sections:
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