serverless computing

All You Need to Know Before Moving Applications to the Cloud

Bobby Varghese

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.  

 

Get in touch with us to find out what refactoring method works the best for your workload.

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Sysfore is a Gold Microsoft Azure and AWS partner with 8+ years of cloud consulting and managed service expertise. We have the privilege of executing the largest data center migration projects in India and have engaged with over 100+ customers on their cloud journey.

What is Serverless Computing?

Ajith George

Build Apps faster with Serverless Computing

Don’t Waste your time on maintaining servers

Serverless computing allows you to focus your efforts on business because the infrastructure you need to run and scale your apps is managed for you.

 

What is Serverless Computing?

Serverless computing is a cloud computing execution model in which the cloud provider dynamically manages the allocation of machine resource. 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.

Infrastructure has always been an issue for developers. With Serverless computing they can circumvent administrative tasks and focus on business logic

serverless computing

 

 

  • Benefit from a fully managed service

 

Escape the burden of server maintenance. Avoid administrative tasks and focus on business logic. With serverless architecture, you simply deploy your code and it runs with high availability.

 

  • Scale flexibly

 

Serverless compute can handle tens of thousands of concurrent functions almost instantly (within seconds), to match any workload and without requiring scale configuration—it reacts to events and triggers in near-real time.

 

  • Only pay for resources you use

 

With serverless architecture, you only pay for the time your code is running. Serverless computing is event-driven and resources are allocated as soon as they are triggered by an event. You are only charged for the time and resources it takes to execute your code—through sub-second billing.

 

  • Enhance developer productivity

 

Leverage features such as local debugging in Visual Studio, visual debug history, deployment slots and more. To help developers maximize their efficiency, Microsoft serverless platform goes a step beyond abstracting server infrastructures to provide prolific features.

  • Seamless Connections

Fabricate modern apps by stitching together valuable and complementary functionality from various sources. Easily interact with a range of Azure functions, external services and logic apps to exploit on more than 100 connectors to Microsoft and third-party services.

 

 

  • Develop Intelligent Apps

 

Integrate intelligence into your apps with ease. With Azure, built-in intelligence is within the reach of all app developers. Enable your serverless code or logic to use Machine Learning and Cognitive Services.

Serverless computing is more cost-effective than purchasing the servers with required configurations

 

Sysfore offers exceptional application deployment and development support to enterprise organizations. Let us help your DevOps teams deliver applications quicker and with higher quality by providing self-service development capabilities that work within existing continuous delivery processes

 

Sysfore, a Microsoft Gold partner, uses leading network, technology, and service expertise to deliver our service anytime, virtually anywhere, quickly and efficiently. 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.