4 Key points for successful Cloud Migration

Cloud is the new normal. But in order to take full advantage of the efficiency and agility of the cloud, organizations can not simply “move” their existing applications from an on-premise environment to a cloud environment.

Such an approach would significantly slow down their capacity for innovation and their performance, due to inefficient resource consumption and simply inappropriate code. But there is no question of making a clean sweep of the existing and rebuild everything, which would obviously be extremely expensive, in time and money. How can organizations then ensure they succeed in their transformation into the cloud?

Prepare your Cloud Migration Roadmap

Before you think about how applications will be migrated to the cloud, organizations must first evaluate their on-premise environment. That is, to identify which applications need to be migrated to the cloud, which ones should remain on-premise, for security or compliance issues for example, and which should simply be removed or replaced by a SaaS solution.

For the migration of specific applications, developed to measure, the best approach often consists of a re-architecture in microservices and containers. This type of architecture, known as cloud-native, enables organizations to take full advantage of the cloud’s agility and flexibility, allowing them to adapt application resources to traffic fluctuations, reduce operating costs and storage, and accelerate implementation and deployment.

Knowing the Cloud Migration risks

Although the benefits of rearchitecture far outweigh the benefits of a simple “shifting” of applications, some companies tend to become discouraged by the difficulty and costs of re-architecture processes. design, recoding and redefinition of applications. Not to mention the increased complexity this generates in the enterprise cloud ecosystem. One study found that web and mobile transactions today average 35 different technology systems, up from 22 just five years ago. This is largely because organizations have increasingly complex hybrid cloud environments, where applications overlap with both cloud and on-premise systems. Microservices and containers add a layer of complexity to this technology stack, creating “black boxes” that offer no visibility. And because these environments are also more dynamic, applications that were previously static are constantly evolving. These elements can then make infinitely more difficult the identification and resolution of a performance problem by the company and endanger the quality of the experience of its users.

Solve the puzzle of complexity

Also, before starting a process of re-architecture of applications for the cloud, companies must first identify what can, in their monolithic architecture, be divided into microservices, to work correctly in their new environment and produce the expected benefits. They also need to maintain end-to-end visibility and mastery of the user experience, despite the additional complexity introduced by a hybrid, multi-cloud environment. The first step in this process is therefore to determine a way to ensure that re-architected applications for the cloud provide the same level of performance and quality in terms of user experience as when they are on-premise. For this, an analysis of the application performance before the migration allows toprovide a clear vision of the “normal” behavior of an application, in order to be able to quickly identify a possible degradation in the re-architecture process of applications in microservices and containers . Once they have established this baseline, companies will then need to monitor in real-time the performance of their now cloud-native applications, so that any problem can be solved before it impacts the experience. user. Traditional monitoring approaches, however, are not designed to provide such a level of visibility in today’s cloud ecosystems, and are not able to guarantee the expected level of application performance. This is a significant risk that companies can not expose themselves to.

Manage performance automatically and in real time

This challenge of complexity can only be overcome with new monitoring approaches, based on advanced artificial intelligence and automation technologies. They enable IT teams to automatically discover dynamic ecosystems and instantly analyze the complex interdependencies that exist between different components of applications and infrastructure in the cloud. They also allow you to automatically adjust the performance baseline as the cloud ecosystem evolves, to reduce false alerts related to fluctuations in resource consumption that are common in the cloud. Businesses gain real-time visibility into their cloud ecosystem, and therefore more proactivity in identifying and resolving performance issues.

As in any major technological advance, the re-architecture of applications in microservices and containers comes with a lot of pitfalls. But with the right steps in place to navigate the complexity of cloud architectures, organizations can take full advantage of the versatility, agility, and flexibility offered by these environments. And this is undoubtedly a major asset in the race to transform that we are witnessing in all sectors and organizations

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