Today’s increasingly fast-paced innovation in the area of enterprise application architecture added numerous buzz words in our vocabulary such as AWS Lambda, Azure Functions, service mesh, Beanstalk; to name a few. Novel advanced use cases and in fact sophisticated use of cloud computing are transforming IT professional’s lingo. The core foundation of theses innovation lies in building cloud-native infrastructure i.e. adopting containerization and implementing microservices-based architecture in the application development lifecycle. The velocity of these innovations is so much that the technological gap between monolithic applications and microservices is getting wider every day.
The term cloud-native is very loosely and widely used. The tendency of just “Lift and shift” of monolithic applications does not make one cloud-native. It is like virtualizing workload and run it on someone’s else datacenter or sever. It should be carefully assessed and ensure that it is aligned with the needs of proposed outcomes, as it is quite challenging and will be for quite a while.
Digging a little deeper, we find several contradicting definitions of cloud-native. However, one of the best guidance so far, I have seen came from Gartner which explains it by narrowing it down to three main use cases such as:
The bigger truth is, amid grappling with building the foundation of cloud-native infrastructure and its adoption to increase software development velocity and modernize legacy workloads, technology leaders are also constraint by other factors. Some key factors are:
There is no silver bullet or one-size-fits-all in the journey of becoming cloud-native. Implementation is just one side of the coin; looking at the other side is a key to a successful adoption at least from the perspective of Day 2 operations to avoid costly cloud repatriation.
It is important to understand that Cloud-native is an ever-changing and continuously evolving concept. No doubt, it is a bigger undertaking and complex to perform full re-writes when migrating, however, it might worth the investment given tremendous innovations and new developments happening in this space in recent years. Kubernetes and containers play a vital role and constitute the core building blocks of cloud-native architecture; both of them are plugged into continuous innovation from leading technology firms and wider matured ecosystem. In the long-run, enterprises adopting cloud-native architecture will reap the benefit of this journey by gaining a competitive edge and accelerating time-to-value in their product development lifecycle.
#cloud #microservices #cloud native #kubernates
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.
#cloud computing services #all #hybrid cloud #cloud #multi-cloud strategy #cloud spend #multi-cloud spending #multi cloud adoption #why multi cloud #multi cloud trends #multi cloud companies #multi cloud research #multi cloud market
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.
#cloud native #cloud #cloud computing #cloud native development #cloud-native applications
The moving of applications, databases and other business elements from the local server to the cloud server called cloud migration. This article will deal with migration techniques, requirement and the benefits of cloud migration.
In simple terms, moving from local to the public cloud server is called cloud migration. Gartner says 17.5% revenue growth as promised in cloud migration and also has a forecast for 2022 as shown in the following image.
#cloud computing services #cloud migration #all #cloud #cloud migration strategy #enterprise cloud migration strategy #business benefits of cloud migration #key benefits of cloud migration #benefits of cloud migration #types of cloud migration
I want to provide a basic overview from my perspective, which I structured in the following sections:
#cloud native #cloud native applications #cloud native apps #cloud #ci/cd