As businesses increasingly move their operations to the cloud, the need for software to seamlessly integrate with this new environment becomes more important. Cloud-native development is an approach to software development that takes advantage of the cloud’s capabilities, making it an ideal solution for businesses looking to move to the cloud or wanting to update their existing software. In this blog post, we’ll explore what cloud-native development is and how businesses can benefit from it.
How does Cloud Native work?
Cloud-native software development is a modern approach to building and deploying software that is designed to take full advantage of the cloud computing paradigm. Cloud-native software is typically built using microservices, which are small, modular, and independently deployable services that communicate with each other using well-defined APIs.
Today, more and more enterprises are adopting a cloud-native approach to application development and deployment. This approach enables them to take advantage of the many benefits of cloud computing, such as on-demand scalability and agility.
However, migrating to a cloud-native environment can be a challenge. One of the first things to consider is whether your application is a good fit for a cloud-native environment.
Not all applications are well suited for this approach.
For example, if your application is not designed for scalability, it may not perform well in a cloud-native environment.
Another important consideration is your DevOps strategy. Adopting a cloud-native approach requires a DevOps culture and mindset. DevOps is all about automating the application development and deployment process. This can be a challenge for organizations that are used to using manual processes.
As per research, 43% of companies say “Microservices are the most critical cloud-native approach for app development & development”
Finally, you need to consider the technology you’ll use to build and run your cloud-native application. There are a number of options available, such as containers, microservices, and serverless computing. Each has its own advantages and disadvantages.
Making the switch to a cloud-native approach can be a challenge, but it’s one that can offer significant benefits to your organization. With the right strategy in place, you can successfully adopt a cloud-native approach and reap the rewards.
An overview of the elements of Cloud Native
The cloud-native elements are the building blocks of a cloud-native application. These elements are typically used together to create an application that is scalable, reliable, and fault-tolerant.
The most common cloud-native elements are microservices, containers, continuous delivery, Kubernetes, and DevOps. Microservices are small, independent services that can be deployed and scaled independently. Containers are a way to package and run applications in an isolated environment.
The continuous delivery and continuous integration processes automate the testing and delivery of the products. Container orchestrators, such as Kubernetes, allow developers to manage the functions of different containers, including scaling and deployment.
DevOps: A form of the agile methodology used in cloud-native architecture, DevOps integrates practices across the software development life cycle to improve product development and efficiency.
Benefits of using a modern software development approach: Cloud Native
This approach has many benefits, including increased flexibility, scalability, and resiliency. Perhaps most importantly, it can help businesses achieve a significant impact by leveraging the power of the cloud.
There are many ways in which businesses can benefit from cloud-native software development.
Increased Flexibility
One of the most obvious is the increased flexibility that comes from using microservices. Rather than being tied to a monolithic application, businesses can now easily modify or add new functionality by simply deploying new microservices. This can be done quickly and without affecting the rest of the system.
Increased scalability
With traditional monolithic applications, it can be very difficult and expensive to scale up capacity. However, with a microservices-based approach, businesses can add new instances of services as needed. This can be done quickly and without incurring the significant upfront costs associated with traditional scaling methods.
Increased resiliency
Because microservices are small and modular, they can be re-deployed quickly if one or more of them fails. This can minimize downtime and keep businesses up and running even in the face of severe outages.
All of these benefits can help businesses achieve a significant impact by leveraging the power of the cloud. When it comes to cloud-native software development, the sky is truly the limit.
Say goodbye to traditional approaches to
Relying more on the abstract infrastructure environments of the systems. Locally deployed applications may require downtime during updates, whereas cloud-native applications always remain current. It uses a blue-green deployment model and supports frequent changes.
Benefits of Adopting a Cloud Native Design
Cloud-native app development and operation processes prioritize the most important aspects of today’s app user experience, producing state-of-the-art, market-leading software. Additionally, there are numerous advantages for both enterprises and software developers. We’ve covered a couple of these key advantages below.
1. Process Mechanization and Automation
Manual or repetitive processes in the field of IT usually result in high dead times, reduced productivity and efficiency, and are prone to human errors. The effective management of software development and deployment processes, test suite execution, hardware provisioning, modification, upgradation, and retirement are all part of mechanization and automation.
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Businesses of all sizes and in all domains can greatly benefit from automating these processes. It helps improve operational productivity, reduces cost, and often results in faultless and seamless development cycles. This flexible software development, deployment, and operational environment is a natural byproduct of building apps with cloud-native solutions.
2. Improved Flexibility and Dexterity
The capacity to detect and adapt rapidly to new circumstances is what makes technology teams agile. Such proficiency is essential in today’s continually evolving corporate world. Companies that develop and maintain cloud-native apps can better adapt to the shifting market and technological conditions. Cloud native architectures are highly flexible and scalable across multiple platforms which contributes significantly to the way in which businesses operate today.
3. Horizontal Scalability
The software’s resource needs will increase in tandem with the scale of the organization, market conditions, and industry trends. When the product use or traffic increases or if consumption suddenly increases conventional application architectures fail to keep up with the needs of storage and access. This more often leads to system failures, software downtimes, and slow access.
Leveraging cloud-native solutions to build new-age apps may help expand the services provided by the app in a more controlled manner. Besides this usually results in less downtime for the software and increased efficiency of deployment for the business. Software built specifically for the cloud, or cloud-native systems may take advantage of the growing interconnectedness to fulfill the remote needs of the organization making them horizontally scalable right from the beginning of the product development cycle.
4. High Accessibility
The term accessibility refers to the amount of time that the software is used by the consumers in contrast to being down for reasons such as high traffic, technical interruptions, repair, or a full overhaul. When accessibility is low, it can negatively impact consumer satisfaction and may also result in a lower ROI. It may also decrease the trust and credibility enjoyed by the business in the long term. Keeping accessibility at a substantial stage is crucial to keeping customers happy, who will then spend more money and help your business expand as well as generate a higher ROI.
5. Facilitates Continuous Integration/Continuous Deployment
It is crucial to rectify application errors and failures and restore service swiftly. Faster application recovery through automation means less downtime for the team, clients, and the entire organization at large should an issue arise. Automating restoration processes makes maintaining a high standard of service for the business and its customers more accessible.
The timing of breakdowns is unpredictable, but you can safeguard the software solutions against them. By incorporating fault-tolerant, robust architectures and failsafe techniques into the app infrastructure, businesses can increase their resilience and, by extension, the availability of the software for the customers. New applications benefit significantly from the mechanical stability fostered by cloud-native architectures.
The term ‘continuous integration/continuous deployment (CI/CD) refers to a method of delivering software in which the build, test, and deployment phases are all performed automatically, resulting in an evolutionary, rapid, and error-free transition from development to production environments. CI/CD is the practice of continuously integrating and delivering software solutions to perform an array of business functions.
Changes to apps may be released in place using a CI/CD deployment approach, avoiding the need for any downtime. This improves responsiveness to customers, software quality, and businesses’ adaptability. While some businesses may face delays of weeks or months between releasing new software versions, a quality CI/CD system allows for the deployment of cloud-native apps weekly, daily, or even on an hourly basis.
Online retailers such as Flipkart, Amazon, and Blink It, are known for rolling out hundreds or thousands of daily updates to their flagship shopping apps. This is only feasible with cloud-native integrations and a well-established automated CI/CD procedure.
Cloud Native Application Trends Reshaping Businesses
With the widespread use of smart gadgets and the growing “anytime, anywhere” mentality, consumers are ecstatic. Let’s say that developments in technology, like the Internet of Everything (IoE), enable customers to have Enablers of Experiences (EoE). Then, disruptive technological forces like the cloud enable organizations to keep up with the rapid advancement of digitalization. As a result, businesses in a variety of sectors are turning more and more to Cloud-Native application development services to update their enterprise IT architecture.
To put it another way, Cloud-Native software development techniques let companies think outside the box of on-premises, achieve enterprise mobility, guarantee availability and accessibility around-the-clock, and boost connection and scalability.
Thus, it wouldn’t be incorrect to state that, in all cases, obtaining total business agility depends on the Cloud-Native application design. It also promotes corporate expansion and aids in adjusting to the new normal.
Cloud computing emerges to enable enterprises to challenge the conventional IT delivery paradigm as internet consumption surges. It makes it possible to go from physical to virtual environments, and it allows outside parties to send various software tools and corporate IT resources via the internet.
Prior to the COVID-19 pandemic, there was a growing need for the Cloud Computing delivery paradigm; however, this desire only intensified after the epidemic. A research projects that by 2025, the global market for cloud computing will expand at a compound annual growth rate (CAGR) of 17.5%. The market value will rise from $371.4 billion in 2020 to $832.1 billion in 2025 as a result.
Cloud-Native application development is becoming more and more popular among companies all over the world as a reliable means of delivering safe, efficient, and cost-effective programs at a never-before-seen pace. According to IDC, approximately 500 million digital apps and software services will be developed and deployed by businesses in the next two years using Cloud-Native software development techniques.
It is believed that the best way to optimize the advantages of the cloud computing delivery paradigm is to use cloud-native development approaches. Furthermore, it is projected that demand for cloud-native application development would rise globally in the years following the pandemic. A new analysis states that the Asia-Pacific region would see the largest compound annual growth rate (CAGR) in the need for cloud-native application development services between 2021 and 2027. However, North America is expected to hold first place in the total market share, and Europe is anticipated to drive second place.
Cloud-Native application practices enable businesses across industries, including banking, finance, manufacturing, healthcare, and more, to fill the gap created by the pandemic and ensure business continuity in a secure, efficient, and cost-effective manner.
In a world where digital technologies rule, things frequently change—and they do so very quickly. Whether it’s the needs of customers, developments in technology, or the operations of organizations. Using a cloud-native approach to application development helps businesses adapt to an ever-changing business environment.
Let’s examine some new technological developments that, particularly in the contemporary setting, strengthen and facilitate business use of Cloud-Native application architecture.
1. Serverless Computing
Containerization indeed enables simplification of an app’s lifecycle in a Cloud-Native Environment. However, with the development of serverless computing, containerization needs to coexist. The benefits that serverless computing brings along make it worth considering.
Whether scaling, provisioning, patching, or scheduling, serverless computing allows companies to offload their complexities if they handle or maintain infrastructure. Computing resources are available on-demand, and companies only need to pay for the services and tools from Cloud providers.
Serverless computing, thus, essentially is an essential component of Cloud-Native application development services and enables developers to focus entirely on building, optimizing, and operating Cloud-Native applications most efficiently and cost-effectively.
2. Kubernetes and Containerization
A container-orchestration system, Kubernetes or K8s, essentially helps developers deploy, scale, and manage Cloud-native applications without hassles. Moreover, containerization enables simplification of Cloud-Native apps’ lifecycle. In other words, when a software application is deployed in a different computing environment, it moves with all its dependencies, including the files required for configuring, libraries, and more.
Following a CI/CD (Continuous Integration and Continuous Deployment) approach, Kubernetes and container-based apps ensure your Cloud-Native applications are up and running with the utmost efficiency.
Right from rolling out configuration changes to deploying the storage system of your choice and balancing the workloads, Kubernetes automates functions. It offers companies an intuitive UI (User Interface) that supports scaling up and down their applications as needed and without adding up to the DevOps teams.
Besides supporting superfast development and deployment efficiently, Kubernetes offers alerts and notifications and supports self-healing if a container fails to perform its scheduled tasks. Companies can rely on Kubernetes to integrate with external systems and add additional features to the Kubernetes clusters without tempering the source code. Moreover, the open-source system helps Cloud-Native applications comply with internal and external functioning protocols and regulations.
3. Infrastructure as Code (IaC)
Infrastructure as Code (IaC) has also emerged as one of the most noticeable Cloud application development trends that enhance the capabilities of Cloud-Native applications. It enables IT infrastructure provisioning automation, therefore reducing developers’ workload. Performing tasks manually while developing, testing, and deploying Cloud-Native applications, developers have to focus on coding and performing repeated IT provisioning.
These factors lead to increased costs and risks. Whereas IaC — a DevOps approach — makes things seamless for developers. Developers can use IaC to accelerate the end-to-end software delivery lifecycle. IaC helps them rapidly develop and deploy Cloud-Native applications and governs the management of application environments.
Enabling greater agility and scalability while deploying applications in the Cloud, IaC significantly helps reduce development costs, mitigate risks, and fasten time-to-market.
4. Edge Computing
Edge computing is about extending Cloud-computing capabilities to unlock opportunities and add enhanced mobility to the Cloud. Cloud-Native edge solutions allow businesses to make the flexible nature of containerized applications work for them. The solutions offer the same operational consistency, scalability, and performance that the Multi-Cloud Environment (public, private, and hybrid) offers.
Aligning Cloud-Native principles with edge computing means taking the cloud, loosely coupled applications, and the benefits underlying to the activity area or at the data center. It helps create interoperable platforms, enabling DevOps teams to perform application development and deployment remotely at an unprecedented speed and innovate at scale.
5. DevSecOps
Security tests amidst the development processes in a Cloud-Native architecture can be complex and lengthier most of the time. Ultimately, it results in security gaps and can lead to breaches. Therefore, the approach to DevSecOps enables developers to bridge the gap between code and product security in the Cloud.
DevSecOps is about merging the security aspects with the DevOps practices, which helps follow a preventive approach and fix misconfigurations faster. The system allows developers to integrate security while developing Cloud-Native applications using advanced technologies, including AI and ML.
Furthermore, with the DevSecOps approach, developers can automate tests concerning products’ security in the Cloud and pursue Cloud-Native application development in a serverless environment to mitigate risks and ensure faster deployment cycles.
6. Service Mesh with Microservices
The need to modernize Cloud-Native application development and make the development cycle agile and scalable drives the demand for microservices. Undoubtedly, a microservices architecture simplifies product development and makes services independent. However, too many microservices can again lead to complexities.
Service mesh helps DevOps Teams reduce dependency, enabling them to focus on developing, deploying, and managing applications. According to a survey, 27% of businesses use service mesh with microservices while pursuing Cloud-Native application development. Offerings consisting of service mesh work as core building blocks for applications developed in the cloud and for the Cloud.
Service mesh harnesses API capabilities to facilitate communication and configuration between services. It uses a proxy to enable seamless relationships between services in a microservices architecture. Service mesh is an important trend in Cloud-Native application development. It allows businesses to build efficient enterprise applications by decoupling them and allowing developers to work on specific features and functions that can help deal with particular challenges.
7. Low-code/No-code (LCNC) platforms
The increased demand for applications has led to the emergence of low-code/no-code platforms. In 2021, the low-code platform market was valued at $7.61 billion. It’s projected to reach $36.43 billion by 2027. The rise in the popularity of these platforms is driven by a multitude of factors, such as the rise in the demand for IT applications and the extremely user-friendly nature of these platforms that enable business users with low or almost zero coding knowledge to build applications that they need to automate or accelerate their work processes.
LNCP technology is rapidly emerging as one of the most significant Cloud-Native application development trends as it accelerates the development and deployment of Cloud-Native applications. These platforms enable business users, and even seasoned developers, to design and develop applications through visual interfaces and pre-built components, streamlining the process and reducing the need for extensive coding. This aligns seamlessly with the cloud-native philosophy of rapid iteration and scalability, allowing teams to quickly respond to changing requirements and market demands.
Cloud-Native application practices allow businesses to operate and innovate at scale
Emerging technologies that support Cloud-Native applications play a critical role in helping businesses pursue innovation at scale. It enables them to live, function, and operate in the Cloud with reduced infrastructure complexities, costs, and dependency. Cloud-native practices allow companies to design, develop, and deploy software applications quickly, accurately, and flexibly.
The Cloud-Native application development approach also makes it seamless and convenient for the developers to update the software as and when they want without disrupting the app’s ongoing performance.
As a result, businesses can leverage Cloud-Native application development platforms, including AWS, Microsoft Azure, IBM Cloud, Google Cloud, and more, to eliminate the bottlenecks created by the COVID-19 Pandemic. Furthermore, it will also help rule the mobile-heavy market, where customers love to buy anywhere, anytime, and across the devices.
Strategic Approaches for Optimizing Cloud-Native Application Development
The full potential of cloud-native application development must be realized through strategic activities like platform engineering adoption, skill development programs, quicker transitions through third-party support, and success metrics assessment.
Expedite Transitions through Third-Party Support
82% of enterprises surveyed already use cloud-native development approaches and tools, but most are making little headway. This, in turn, leads most enterprises to actively seek a third-party partner to support their cloud-native development needs as leveraging third-party expertise can speed up transitions, enhance security, and streamline development processes.
Enterprises also turn to third-party support to manage the increasing cloud usage and costs. Key focus areas for companies also include securing cloud infrastructure; automating application testing, deployment, or monitoring; transforming legacy applications for the cloud; and choosing an appropriate technology as well as implementation and integration methods.
Establish Skill Enhancement Programs
Enterprises should invest in skill enhancement programs for their teams. Review current capabilities and identify gaps in knowledge. Define role-specific learning routes that include topics such as cloud platforms, microservices, and DevOps. Choose from a variety of training tools, such as online courses and certificates. Encourage internal knowledge sharing and dedicate time for continual learning.
Adopt Platform Engineering
This strategy involves the creation and upkeep of a developer platform to expedite application development and deployment. The platform acts as a foundation, providing self-service APIs, tools, services, knowledge, and support in the form of a unified internal product.
Implementing platform engineering practices aims to achieve several goals:
- Reduce cognitive load for users: Platforms reduce cognitive load for users by hiding complex architectural details, allowing teams to focus on designing features without being swamped by infrastructure complexities.
- Improve reliability and resiliency: One principle is to assign experts to configure and monitor platform capabilities. Centralizing expertise and governance ensures that services are resilient and stable enough to withstand failures.
- Accelerate product development and delivery: Platform engineering accelerates the development lifecycle by utilizing pre-built tools and shared knowledge. Reusing components and best practices improves efficiency and consistency.
- Lower risk of security, regulatory, and functional issues: Leveraging platforms can lower the possibility of security breaches, ensure compliance, and reduce the risk of functional difficulties in products and services by enforcing standards and controls.
- Automate and standardize processes: By optimizing workflows, reducing manual intervention, and improving process reliability, these processes assure consistency and reproducibility across the development lifecycle.
- Leverage self-service infrastructure provisioning: Self-service interfaces enable teams to access resources on-demand, decreasing bottlenecks, increasing scalability, and removing manual stages in the development process.
- Use containerization for scalability and resource utilization: Prioritize containerization for scalability, portability, and efficient resource utilization, resulting in a uniform, lightweight environment for programs.
- Apply collaborative DevOps practices: The platform combines with collaboration tools to provide smooth communication and coordination between development, operations, and other stakeholders, fostering a cohesive ecosystem and breaking down silos.
Evaluate Success via Recommended Metrics
Regularly monitoring and evaluating key metrics in cloud-native gives DevOps teams and stakeholders significant insights into the performance, efficiency, and dependability of cloud-native apps. Continuous improvement based on indicators such as high deployment frequency, short lead time for changes, auto-scaling success, and low application error rates assists companies in adapting to changing needs and delivering optimal results.
Consider these metrics to assess the effectiveness of your cloud-native applications:
- High deployment frequency: A high deployment frequency indicates an agile and efficient development process in which teams can respond rapidly to business needs, supply new functionality, and adapt to changing requirements.
- Short lead time for changes: Short development lead times indicate a simplified and fast-paced development process. It means that the period between envisioning a change and putting it into production is short, suggesting swift innovation and response.
- Recovery time: This metric indicates the speed with which services can be restored following a malfunction or outage. Quick and efficient incident response and recovery processes suggest a well-prepared system, thus minimizing downtime.
- Application error rates: Low error rates suggest a stable and well-maintained program, contributing to a positive user experience and minimizing disruptions by tracking the frequency and severity of problems or faults in the application.
- Change failure rates: A low change failure rate indicates a stable and dependable deployment procedure, implying that changes are extensively vetted and the possibility of introducing mistakes or difficulties into the production environment is minimal.
- High availability/uptime: This shows the percentage of time the application is operational and available. High availability ensures that users can use the program whenever they need it, which improves customer satisfaction and business continuity.
- Security incidents rate: This rate monitors the frequency of security issues like breaches and unauthorized access. A low rate of security incidents suggests that the security measures in place are effective.
- High IaC compliance: A high level of Infrastructure as Code (IaC) compliance promotes consistency, reproducibility, and version control in infrastructure management, lowering the risk of configuration drift and improving security.
Developing cloud-native applications is a crucial tactic for companies looking to stay ahead of the competition. Because of the adaptability of cloud-native techniques, developers can fully utilize the flexibility of the cloud and adapt and optimize both new deployments and old systems with ease. Its modular architecture offers greater speed and flexibility than traditional systems, despite its inherent restrictions.
Challenges of Cloud-Native Application Development
Making the switch to cloud-native app development boosts productivity but also presents new challenges. To fully profit from the deployment of safe cloud computing, it is imperative to address obstacles including system integration problems, skills gaps, outdated procedures, and a lack of automation. For the growing cloud security technology to be ready for general adoption, IT administrators must identify and remove obstacles.
Legacy Processes
Legacy development processes, deeply embedded in organizational workflows, pose an integral barrier to achieving cloud-native excellence. These processes weren’t initially intended for use in cloud settings. Migrating legacy processes to the cloud only transfers their location without necessarily aligning them with the dynamic and scalable character of cloud-native systems. Prioritize reengineering over mere migration and engage in extensive workflow redesign.
Skills Gaps
The rapid cloud technology advancement frequently outpaces an organization’s acquisition of essential skills. Teams must leverage tools and practices in application deployment, orchestration, and security architecture. Bridging this skills gap involves planned training initiatives, hiring policies that prioritize cloud expertise, and promoting a culture of continuous learning.
The difficulties in developing cloud-native applications have a big effect on DevOps and business teams. Increased DevOps duties, complicated tools, a lack of standardization, obstacles to scalability, problems with change management, and the loss of functionality for legacy applications are some examples of this.
Growing DevOps Responsibilities
As cloud-native challenges persist, DevOps teams’ responsibilities expand. Beyond typical development and operations activities, DevOps teams get increasingly involved in security, compliance, and coordination with IT operations. Effective communication with ITOps and/or SecOps, as well as aligning objectives with infrastructure and security teams, can create a unified and secure development pipeline.
Tool Complexities & Lack of Standardization
Managing a broad range of tools for container orchestration, monitoring, and deployment leads to integration issues and more cognitive load. DevOps teams may struggle to establish standardized methods throughout the development lifecycle, resulting in inefficiencies, longer learning curves, and potential errors.
Scalability Barriers
Scalability barriers, whether in terms of technology, methods, or team competencies, might hamper DevOps teams’ ability to fulfill the needs of a developing cloud-native environment. Failure to scale efficiently can lead to bottlenecks, poor performance, and delays in providing applications to end users. To meet the organization’s growing demands, DevOps teams must depend on automation and efficient resource management.
Change Management Issues
While boosting efficiency, continuous integration and continuous deployment (CI/CD) pipelines also increase the frequency of changes. Ensure that you carefully and effectively manage these changes and that there are minimal disruptions to operations, then confirm the impact on security and compliance.
Loss of Legacy Application Functionality
When integrating legacy applications into new cloud-native ecosystems, compatibility difficulties, reliance on obsolete frameworks, and the requirement for extensive restructuring can all pose challenges. It may result in loss of legacy application functionality, which impacts the DevOps teams in charge of maintaining and evolving these applications.
How Can Cloud-native Apps Help to Create Business Value?
Companies can expedite the creation and improvement of the applications that drive their operations by employing these cloud-native technologies. For example, organizations can more quickly add new features to their current apps to match changing customer wants or trends. A cloud-native approach not only speeds up application development but also lowers operational expenses and boosts security and resilience.
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Any organization hoping to thrive in the current economic climate must implement cloud-native technologies. Here are some examples of how cloud-native technologies can support the expansion of businesses.
Outpace Competitors
Companies everywhere are under pressure to modernize, become more agile, and shorten the time to market for their services and products. However, the speed at which companies must adopt new technology has quickened due to the acceleration of advancements in digital technologies. Numerous enterprises are finding it difficult to keep up with the rapid advancements in the cloud, AI/ML, Kubernetes, and edge and IoT computing.
The most agile companies, especially those with cutting-edge technology that gives them a clear competitive edge, are able to adjust to the changing environment faster than their competitors during uncertain economic times. Advanced technologies like Kubernetes and cloud-native can help businesses manage and scale applications more effectively while providing necessary updates or new features instantly. By providing clients with top-notch customer service and distinctive digital experiences that can grow important revenue streams, businesses are able to outperform competitors.
Greater Efficiency with Lower Costs
Organizations are increasingly looking to technology to increase IT infrastructure productivity and save costs. The deployment of containerized applications at scale is made possible rapidly and effectively by Kubernetes, one of the key technologies of cloud-native computing. In comparison to what is now regarded as legacy virtualization-based methodologies, this automation speeds the deployment of cloud-native apps and lowers operational expenses.
With a plethora of new features for innovative applications and automation, Kubernetes, the ideal foundation for AI, is accelerating AI adoption and development. The ability to properly leverage AI to produce better products will be a deciding element in enabling businesses to gain a competitive edge. Businesses that learn to use AI and cloud-native technologies will be able to create smarter, more advanced products in a quicker and more agile manner.
New Experiences
The smartphone is a good example of how the widespread use of smart devices and applications has significantly altered how customers purchase and how businesses serve and sell. Businesses must deliver products and services to consumers around-the-clock while managing massive volumes of data traffic if they want to achieve consistent growth and develop new revenue streams. Organizations can deliver uninterrupted service and distinctive experiences by managing and enhancing their IT infrastructure and operations using Kubernetes and integrating AI/ML technologies.
In the current economic climate, cutting costs is an unavoidable requirement for many organizations. While adopting cloud-native, edge, Kubernetes, and AI technologies can improve company results and profitability, astute CIOs will identify the opportunities and align technology spending with them.
While reducing cloud-native IT modernization efforts may save money in the near term, doing so could seriously impair an organization’s ability to compete and long-term viability.
Conclusion
64% of companies say half or more of their DevOps applications are developed with cloud-native technology or methodology. With the rapid growth of the virtual world, technologies, and familiarity with distributed frameworks, it’s a trend to migrate applications to the cloud.
Cloud-native architecture is the future of software development, and software development company need to invest in DevOps engineering solutions to stay competitive. DevOps allows companies to adopt a more agile approach to software development, which can result in faster time to market and increased efficiency.