Agile Methodology Software Development for Microservices
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Gone are the days when monolithic applications ruled the world of software development. Decoupled, self-healing, cloud-enabled apps are the way forward. This new type of environment requires apps to be dynamic and component-based, but work together as a single unit. They are expected to share the same memory space, making all software built with this approach essentially self-contained.
The problem with older monolithic applications is not only that their components are interconnected, but they’re interdependent as well. Even the slightest change or update to a monolithic system requires you to rebuild and redeploy the entire stack. Testing to ensure that the whole application still works is another big task.
If you suddenly have a pressing business need to move things over to a new platform or even leverage a new framework, you’ll essentially have to rebuild the entire application from the ground up.
These major disadvantages are the main reasons why we’ve made microservices a core part of our software development offerings at Cloud Computing Technologies. The type of application we endorse consists of smaller self-contained components. Each one is inherently flexible and communicates with each other via a series of REST APIs to remain the cohesive whole you ultimately need.
However, despite the many benefits of Microservices based applications, it is not possible to simply switch to it. The process of transforming your applications to the Microservices architecture and leveraging the power of the cloud requires you to consider many things like migration strategies and Agile Methodology. This entire process is called application rationalization, and it requires quite a bit of expertise.
Software Development at CCT: Our Capabilities
At CCT, we have years of combined experience with all of the best Software Development languages for microservices, including:
- Java. This is a particularly popular language for microservices because its annotation syntax is incredibly straightforward, thus making the actual writing of microservices applications far easier.
- Golang. Applications written in Golang are known for their ability to handle heavy loads while ensuring a simple and logical structure that is easy to understand.
- Python. Even though Python is incredibly easy to learn, it is also known for its versatility – thus making it perfect for experimentation and creativity during software development.
We’re also able to work with all of the best and most modern frameworks for microservices, including both ReactJS and Spring Boot.
Why Microservices?
Microservices based applications are those that are developed using the Microservices architecture. Microservices are a collection of components that perform various parts of your business logic.
Services are loosely coupled, meaning that they are independent of each other except for the API interfaces that are used to communicate with each other. Each component or service revolves around a particular business capability and is usually owned by a small team that takes care of the entire lifecycle from design to deployment.
There are many major benefits to using Microservices. One of them is that they are language and platform-independent. This means that you can develop each component in a language that suits it most and deploy it on a platform that offers the most benefits without being restricted by a common language or platform.
Other benefits include high maintainability and ease of introducing new features and testing. These features allow to easily release new changes increasing productivity.
Microservices, Agile Methodology and AWS ECS EKS: A Match Made in Heaven
Microservices are a perfect companion to another essential concept in the world of software: agile development. This is true in more ways than one.
When a business embraces the agile development methodology, you will have many small teams working on single, smaller tasks so that everyone can focus their undivided attention on the jobs that truly require it. It’s easy to see how microservices fit into this framework perfectly, as smaller teams can focus on individual services instead of as a collective. Services can even be implemented using different databases or even programming languages depending on the goals you’re trying to accomplish and the expertise of the teams.
All of these advantages of the agile methodology come together to create software that is finally organized around your business’ capabilities, exactly the way it always should have been.
If you’d like to find out more information about our software development services, or if you’d just like to speak to someone about your own needs in a bit more detail about application rationalization, please don’t delay – contact Cloud Computing Technologies today.
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The Cloud Computing Technologies Approach
Cloud Computing has taken the world by storm. Many organizations that thought they can build their applications with their know-how and tools have now started realizing the benefits of Cloud Computing. This realization has resulted in a steep increase in the adoption of cloud technologies.
At Cloud Computing Technologies, we take pride in guiding our customers through their cloud migration. We offer secure, scalable, and fully on-demand cloud services through our enterprise-level cloud partners like Amazon AWS.
If you’d like to find out more information about all of our innovative service offerings, or if you’d just like to discuss your own needs with someone in a bit more detail, please don’t delay – contact Cloud Computing Technologies today
CLOUD BENEFITS FOR YOUR ORGANIZATION
The benefits to cloud computing are numerous and significant. Primarily, cloud computing enables your organization to quickly setup a server and applications platform for your virtual office without hardware and software dependencies. In addition, with a cloud based centralized server and application platform, your work from home (WFH) users can securely access business IT resources from any location and any time zone.
Commonly, organizations report significant cost reductions in hardware, licensing, and maintenance after moving to the cloud. This is due to more efficient use of systems as a consumption-based pricing model is more palatable to constrained IT budgets. Rather than dealing with unanticipated huge IT capital outlays, cloud spending is easier to forecast and measure outlays to departments.
Cloud computing can easily accommodate surge capacity needs as it can scale up and scale down to meet your operational requirements on an as needed basis. Your data and systems are protected with a cloud platform that is already security regulatory compliant, so business continuity capability is already addressed.
Collaborate on a higher scale through multiple communications avenues within the cloud. With virtual cloud desktops, secure file access, cloud-based email or applications, your ability to collaborate is greatly enhanced.
At CCT we recommend that all organizations shed all the dependencies and limiting factors of legacy IT by moving into agile, fault-tolerant, and strategic cloud solutions that we provide.
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Remote Worker Accessable
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Regulatory Compliance
- Infrastructure as Code
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Embedded Security
- Low-Cost Storage
- High Avalability
- Fault Tolerance
- Governance
- Scaleability
- Agility
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Further information about Software Development and
Agile Methodology: Core Principles.
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Frequently Asked Questions
AI software development involves creating applications that can process information and make decisions with minimal human intervention. Unlike traditional software development, which is rule-based, AI software requires training with large datasets to learn and make predictions or decisions based on patterns and past experiences.
AI software can automate complex and repetitive tasks, enhance decision-making with predictive analytics, and provide deeper insights into customer behavior and business operations. This can lead to increased efficiency, reduced costs, and improved customer satisfaction.
Virtually every industry can benefit from AI software development, including healthcare, finance, retail, manufacturing, and transportation. AI applications can range from fraud detection systems and customer service bots to predictive maintenance tools and personalized shopping experiences.
Developing an AI software application typically involves data preparation, choosing the right algorithms, training models, and deploying the solution into production. It also requires continuous monitoring and maintenance to ensure the application adapts to new data and changes in the environment.
Machine learning is a subset of AI that focuses on developing algorithms that enable software applications to become more accurate in predicting outcomes without being explicitly programmed. It is integral to AI software development, providing the foundation for systems to learn from and adapt to new data over time.
Effective AI software development requires high-quality, diverse, and large datasets that are relevant to the specific problems the AI is designed to solve. The data must be well-organized and labeled accurately to train models effectively and ensure they perform as expected.
Security in AI systems is ensured by implementing robust data protection measures, conducting regular security assessments, and using encrypted data storage and transfer processes. Additionally, developing AI with a focus on ethical guidelines and transparency can help mitigate risks associated with data handling and decision-making.
The timeline for developing and deploying AI software can vary widely depending on the complexity of the project, the quality of the data available, and the specific requirements of the application. Generally, it could take from a few months to over a year to develop a robust AI solution.
AI software scales with your business by utilizing cloud computing platforms that offer flexibility and scalability. As your business grows and data increases, AI systems can adjust dynamically, allowing more extensive data processing and smarter decision-making capabilities without losing performance.
Starting an AI software development project involves defining clear objectives, gathering and preparing data, selecting the right technology partners, and planning the development lifecycle. To discuss how AI software can specifically benefit your business, call CloudComputingTechnologies.AI at (800) 804-9726 or fill out our contact form below for a detailed consultation and proposal.