DevOps
Cloud SAS Consulting DevOps combines development and operations to increase the efficiency, speed, and security of software development and delivery. It can be explained as team work together to conceive, build and deliver secure software at top speed. DevOps practices enable software development (dev) and operations (ops) teams to accelerate delivery through automation, collaboration, fast feedback, and iterative improvement.
DevOps process expands on the cross-functional approach of building and shipping applications in a faster and more iterative manner. DevOps represents a change in mindset for IT culture. In building on top of Agile, lean practices, and systems theory, DevOps focuses on incremental development and rapid delivery of software. Success relies on the ability to create a culture of accountability, improved collaboration, empathy, and joint responsibility for business outcomes.
The stages of the DevOps lifecycle are: Plan – Organize the work that needs to be done, prioritize it, and track its completion, Create – Write, design, develop and securely manage code and project data with your team, Verify – Ensure that your code works correctly and adheres to your quality standards — ideally with automated testing, Package – Package your applications and dependencies, manage containers, and build artifacts , Secure – Check for vulnerabilities through static and dynamic tests, fuzz testing, and dependency scanning, Release – Deploy the software to end users , Configure – Manage and configure the infrastructure required to support your applications, Monitor – Track performance metrics and errors to help reduce the severity and frequency of incidents.
Full Stack Development
Full Stack Development is the end-to-end development of applications, it includes both the front end and back end of an application. The front end is usually accessed by a client, and the back end forms the core of the application where all the business logic is applied. Full stack can apply to a web stack, mobile stack, or a native application stack. Presentation layer: Deals with the front-end part to create the user interface Database layer: Deals with the data storage operations such as fetching, storage, and modification Logic layer: Deals with handling all data validation and logical operations in the backend part of the interface.
Full Stack Development Advantages:
Mobile Application Development
Cloud SAS Consulting Mobile Application Development is the process of making software for smartphones, tablets and digital assistants, most commonly for the Android and iOS operating systems. The software can be preinstalled on the device, downloaded from a mobile app store or accessed through a mobile web browser. We depends on various programming and markup languages used for this kind of software development include Java, Swift, C# and HTML5.
Mobile app development is the act or process by which a mobile app is developed for one or more mobile devices, which can include personal digital assistants (PDA), enterprise digital assistants (EDA), or mobile phones. Our Mobile Apps software applications are specifically designed to run on mobile devices, taking numerous hardware constraints into consideration, Common constraints include CPU architecture and speeds, available memory (RAM), limited data storage capacities, and considerable variation in displays (technology, size, dimensions, resolution) and input methods (buttons, keyboard, touch screens with/without styluses).
We develop Mobile app for all type of industries like – retail, telecommunications and e-commerce to insurance, healthcare and government, organizations.
Artificial intelligence (AI)
Artificial intelligence (AI) understand that it’s a state of theory and development of computer systems capable of performing tasks that historically required human intelligence, such as recognizing speech, making decisions, and identifying patterns.
Our AI is an umbrella term that encompasses a range of technologies, including machine learning, deep learning, and natural language processing (NLP).
Artificial Intelligence (AI), the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. It applies to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from past experience.
Java Application Development
Java is a high-level, class-based, object-oriented programming language that is designed to have as few implementation dependencies as possible. It is a general-purpose programming language intended to let programmers write once, run anywhere meaning that compiled Java code can run on all platforms that support Java without the need to recompile. Java applications are typically compiled to bytecode that can run on any Java virtual machine (JVM) regardless of the underlying computer architecture. The composition of Java is similar to C and C++, but has fewer low-level facilities than either of them. The Java runtime provides dynamic capabilities such as reflection and runtime code modification that are typically not available in traditional compiled languages. Java is a widely used object-oriented programming language and software platform that runs on billions of devices, including notebook computers, mobile devices, gaming consoles, medical devices and many others. Some common uses of Java include: Digital Game Development, Cloud Computing, Big Data, Artificial Intelligence, Internet of Things and many more.
Business intelligence (BI)
Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis and management of business information. Our Business Intelligence technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics, and prescriptive analytics. Cloud SAS Consulting BI tools can handle large amounts of structured and sometimes unstructured data to help identify, develop, and otherwise create new strategic business opportunities. It can be used by enterprises to support a wide range of business decisions ranging from operational to strategic. .