All You Need to Know Before Moving Applications to the Cloud

Organizations lift and shift their workloads on the cloud because it is cheaper and quicker than other migration techniques, but that doesn’t mean it is always the best fit.

IT teams often face budget issues and time constraints, so they believe they have very little choices. Additionally, they’ll feel hurried to get the applications up and running by cloud providers eager to bill these new workloads. But there are significant disadvantages to a lift and shift approach when compared to application refactoring, also known as rearchitecting.

It may be cheaper up front to simply rehost your application and its data as is on the public cloud, but this approach could ultimately cost more than it would run a cloud-native app instead. There may also be performance issues caused by changes in the software architecture, missed software bugs and an inability to properly utilize cloud vendors’ native services for monitoring, security, and governance.

It is always best to refactor the workload as part of the migration, because the lift and shift approach may not always deliver the results and tuning doesn’t solve the problem. A migrated application may also benefit from refactoring when bills are unexpectedly high due to application or database inefficiencies or when security vulnerabilities arise because the application can’t integrate with native security systems, such as identity and access management tools.  

 

What is app-refactoring

App refactoring is the restructuring of existing computer code to improve its performance, readability, portability or code adherence without changing the code’s intended functions.

Refactoring is done to extend the apps’ usability and life cycle, improve support for multiple mobile platforms and extend their market reach through multiple app stores.

 

When and how do you refactor apps?

Organizations must consider several factors before they decide to refactor their apps — the most important of which is cost. If you can’t make your money back from refactoring applications, then it should not be attempted. There’s also a great variety of refactoring tools to choose from, and an application’s needs will vary depending on what programming languages and databases that app relies on. Generally speaking, however, the categories of tools include anything that assists in designing and developing microservices that utilize cloud-native APIs. Moreover, container development and Kubernetes deployment and operations are also a common way to refactor.

 

Organizations also have several ways to refactor their applications for the cloud.

A complete refactor is when more than 50% of the code is changed and the database is updated to utilize as many cloud-native features as required by the application. This strategy can improve performance, operations costs and IT teams’ ability to meet the needs of the business. However, the process could be too costly or complex, and it can introduce bugs.

Minimum viable refactoring prioritizes speed and efficiency, as it requires only slight changes to the application. Users who take this approach often incorporate cloud-native security, management and perhaps a public cloud database into their migrated workload.

Containerization refactoring is done when applications are moved into containers with minimal modifications. The applications exist within the container, which enables users to incorporate cloud-native features and improve portability. Costs and refactoring times continue to go down due to the popularity of containers and their growing ecosystems.

Read More about Dockers and Containers

Serverless computing is a cloud computing execution model in which the cloud provider dynamically manages the allocation of machine resources. Serverless computing is steered by the reaction to triggers and events happening in near-real-time–in the cloud. The code written by a developer is executed and only the precise amount of computing resources are taken to complete the task, no more, no less.

Read More about Serverless computing

Enterprises should bear in mind that most applications and data sets that can move to a public cloud require at least some refactoring and users should at least do minimum viable refactoring for most of the cloud-hosted application.  

 

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Introduction to Dockers & Containers

It has become ineluctable to move your applications from virtual machines to something more faster and modern with the widening gap between business and IT needs.

The idea of containerization is not new, it has been around since the early days of Unix. Containerization is a way of software development in which an application and its dependencies and configuration are bundled up together as a container image. The containerized application can be tested as a unit in any operating system or any platform.

A containerized software enables developers to deploy them across any environment with little or no modification. The Docker Container model imitates the shipping model, like how shipping containers allow goods to be transported irrespective of the cargo inside.

 

dockers and containers

A container is a standard unit of software that packages up the code and all its dependencies so the application runs quickly and reliably from one computing environment to another.

The Old Way to deploy applications was to install the applications on a host using the operating-system package manager. Entangling the applications’ executables, configuration, libraries, and lifecycles with each other and with the host OS. One could build immutable virtual-machine images in order to achieve predictable rollouts and rollbacks, but VMs are heavyweight and non-portable.

The New Way is to deploy containers based on operating-system-level virtualization rather than hardware virtualization. These containers are isolated from each other and from the host: they have their own filesystems, they can’t see each others’ processes, and their computational resource usage can be bounded. They are easier to build than VMs, and because they are decoupled from the underlying infrastructure and from the host filesystem, they are portable across clouds and OS distributions.

 

Reasons to modernize your IT infrastructure

  • Aging infrastructure
    • Low efficiency and reliability.
    • High operational costs and capital expenditure.
    • Growing security, audit, and compliance requirements.
    • Inflexible and unable to keep up with business growth.
  • Stagnant architecture
    • Legacy stack and code.
    • Long deployment times and release cycles.
    • Incompatibilities with modern software systems.
    • It’s hard or impossible to add new functionality.
    • Innovation is happening outside IT, unmanaged.

Benefits of modernizing

  • Turn CapEx into OpEx.
  • Increased operational efficiency.
    • Get out of the data center business.
    • Meet security and compliance requirements.
    • Reduce time and budget spent on infrastructure management.
  • Rapid innovation
    • Ship new capabilities faster.
    • Achieve scalability with confidence.
    • Better collaboration across business, Ops, IT and dev teams.
  • Use any OS, App, language and use it anywhere(On-premise, cloud….)

dockers and containers

“The application container market will explode over the next five years. Annual revenue is expected to increase by 4x, growing from $749 million in 2016 to more than $3.4 billion by 2021, representing a compound annual growth rate (CAGR) of 35 percent.”

-451 Research

 

The container advantagedockers and containers

 

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Sysfore, A Microsoft Cloud solution provider and a Gold Partner, uses a leading network, technology, and service expertise to deliver our service anytime, virtually anywhere, quickly and efficiently. We have helped over 80 small enterprises and 30 mid-sized enterprises across the globe for a successful cloud migration in the past 8 years. Contact one of our experts today and we will help you find the perfect solution for your business. Write to us at info@sysfore.com or give us a call at +91 (80) 4110 5555.

 

Containers v/s Virtual Machines – which is best for your cloud?

The cloud deployments today are based on virtual machines, but Containers offer another significant option for the users. The question of which Cloud deployment method to choose is entirely based on three primary factors:

  • Functional differences between VMs and containers,
  • Level of interdependence between private and public cloud components,
  • Users’ willingness to customize their own cloud platform.

Understanding the difference:

Virtual Machines and Containers represent two different ways to create virtual resources that run applications. The difference between containers and VMs is primarily in the location of the virtualization layer and the way that operating system resources are used.

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