There has been a great debate in the technology vertical, whether managing fewer things is easier than managing a lot of things. Though most IT experts believe in scaling the infrastructure over time to satisfy operational business requirements, where each network and storage scale needs to interact with the complete enterprise’s infrastructure environment. The cloud-native arena has been a major focal point when the debate between less and more started. The cloud-native scenario is being rekindled every day with disrupting focus on many long-held technological conventions that are making users rethink how they should exactly build their systems for tomorrow.
As many of the tools, practices, and platforms are being reimagined, they are derived from one of the leading companies driving the technology industry for many years. These companies have been dominating in the native cloud space with technology that is far better than others, around the different teachings than other and revenue. It should therefore not surprise most of the enterprises that the currently utilized cloud-native architecture introduces a ton of new complexities to the uninitiated. In cloud-native infrastructure every aspect is being built and packaged up as containers, everything is scaled out, everything is distributed, that is being built in totally different when we talk about the deployment, operation, debugging and optimizing the system. When managing the complete cloud infrastructure containerized environment, Kubernetes plays a very important part. When it comes to the managed services Kubernetes wasn’t designed for the complete technology industry, it was initially designed by Google to solve Google engineers scale problem. Scalability can be an issue but it might be seen that each of them then can result in increased complexity of management.
Having an alternative approach
The first major question that enterprises and engineers must answer do they need such a large infrastructure setup as an obligation. Do your apps genuinely require the massive level of cloud technology to succeed, with the need for such a large scale of complexity required? Does your enterprise need 100 servers when five servers could serve them? Do you need to reconfigure the setup breaking the applications in the microservices or would the refactoring and tweaking your monolith suffice? Do you need Kubernetes or would the PaaS work will be sufficient for the infrastructure? Do your enterprises have the required infrastructure and resources in place to satisfy your requirements and making infrastructure succeed? Infrastructure shouldn’t exist just to satisfy occasional requirements; they run to actually satisfy the usefulness of the complete environment. Scaling means meeting the complete end, taking a step back and understanding whether applications need to thrive genuinely, and what are the tradeoffs that will be possible in the current infrastructure as it’s essential.
Management solution to better manage
In the cloud-native environment, every task that involves is touching different situations with different target level. If enterprises have a greater level of combination, it makes many things easier for the enterprises, but having several things distributed means managing is a challenge in the current situation. As management tends to take center stage, then the question becomes less of what is being managed and more about how to orchestrate activity across a load of different domains such as container platforms that build tooling, networking, storage, databases, deployment systems, monitoring, and third-party ticketing. The IT teams need to works on several different things that led to better abstraction with management with cloud-native or without having cloud-native. With the increased complexity of native cloud management, even automation won’t be an option. Kubernetes and Docker are some of the most widely used orchestration or management tool when it comes containerization with easy scaling-in and scales-out option.
Configuring the beyond management
Containerization might offer great benefits with the architectural and deployment option for the complete cloud-native infrastructure. Most enterprises forget that once the deployment is done, the real application will now be running in the complete container environment from where it begins. There would be many questions that need to be answered- how do you think you can configure your applications? How can you deploy a newer version when it comes? How do you make changes to the third-party services your application actually relies on? How to handle the security breaches? Many applications will work well with the initial provisioning, but as we shift towards application journey complexities are included. Cloud-native puts the applications stack back in the hands of developers to control, but over the years we would benefit from the learning from different problems operational resources have dealt with.
Conclusion
Developers may face a continuous challenge when it comes to taking the application in a containerized environment with handling persistent data, reproducing an environment for local development and coupling and decoupling services. The need for persistent data replication within the service needs to handle different situations; with no important state should depend on pinning and networking should happen through cloud platform interfaces. Though all the above problems can be solved by handling and isolating persistent data, reproducing the local development for the environment and coupling services according to interactions. Though the best practices in cloud solutions widely vary because applications that are resources sensitive tend to fail in the traditional environment of application or cloud.
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