IT-RAT helps clients build, replatform and integrate applications on PaaS technologies such as Amazon Web Services, Microsoft Azure & Google Cloud Platform
Experienced and dedicated teams of top-notch cloud developers provide full-cycle cloud development services, including cloud infrastructure setup, migration, cloud application development, cloud platforms, quality assurance, and maintenance and support
Programming code is written in the IDE by JetBrains that includes a code editor and a GUI for a seamless code development environment. We also use Python, Go, Docker, Kubernetes, Prometheus, Jenkins, AWS Elastic, Kafka, Ansible, Terraform etc.
Solutions developed for cloud platforms issues undergo multiple tests to ensure that the final product is free from any technical or layout glitches
Amazon Web Services (AWS) is a subsidiary of Amazon.com that provides on-demand cloud computing platforms to individuals, companies and governments, on a paid subscription basis. The technology allows subscribers to have at their disposal a virtual cluster of computers, available all the time, through the Internet.
AWS's version of virtual computers emulate most of the attributes of a real computer including hardware (CPU(s) & GPU(s) for processing, local/RAM memory, hard-disk/SSD storage); a choice of operating systems; networking; and pre-loaded application software such as web servers, databases, CRM, etc.
Each AWS system also virtualizes its console I/O (keyboard, display, and mouse), allowing AWS subscribers to connect to their AWS system using a modern browser. The browser acts as a window into the virtual computer, letting subscribers log-in, configure and use their virtual systems just as they would a real physical computer. They can choose to deploy their AWS systems to provide internet-based services for themselves and their customers.
Google Cloud Platform, offered by Google, is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search and YouTube. Alongside a set of management tools, it provides a series of modular cloud services including computing, data storage, data analytics and machine learning. Registration requires a credit card or bank account details.
Google Cloud Platform is a part of Google Cloud, which includes the Google Cloud Platform public cloud infrastructure, as well as G Suite, enterprise versions of Android and Chrome OS, and application programming interfaces (APIs) for machine learning and enterprise mapping services.
The Go programming language is an open source project to make programmers more productive.
Golang is expressive, concise, clean, and efficient. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel type system enables flexible and modular program construction.
Golang compiles quickly to machine code yet has the convenience of garbage collection and the power of run-time reflection. It's a fast, statically typed, compiled language that feels like a dynamically typed, interpreted language.
Docker is a computer program that performs operating-system-level virtualization, also known as "containerization". It was first released in 2013 and is developed by Docker, Inc.
Docker is used to run software packages called "containers". Containers are isolated from each other and bundle their own tools, libraries and configuration files; they can communicate with each other through well-defined channels.
All containers are run by a single operating system kernel and are thus more lightweight than virtual machines. Containers are created from "images" that specify their precise contents. Images are often created by combining and modifying standard images downloaded from public repositories.
Kubernetes is a portable, extensible open-source platform for managing containerized workloads and services, that facilitates both declarative configuration and automation. It has a large, rapidly growing ecosystem. Kubernetes services, support, and tools are widely available.
Google open-sourced the Kubernetes project in 2014. Kubernetes builds upon a decade and a half of experience that Google has with running production workloads at scale, combined with best-of-breed ideas and practices from the community.
Even though Kubernetes provides a lot of functionality, there are always new scenarios that would benefit from new features. Application-specific workflows can be streamlined to accelerate developer velocity. Ad hoc orchestration that is acceptable initially often requires robust automation at scale. This is why Kubernetes was also designed to serve as a platform for building an ecosystem of components and tools to make it easier to deploy, scale, and manage applications.
Our Cloud Computing Solution comprises of three key steps Cloud Consulting:
We perform an in depth analysis of your existing business, future plans, business requirements and goals to drive ROI. We also do an assessment of which processes and technology are required for using cloud. We determine enterprises readiness for the cloud by aligning the cloud technology with the business requirements.
Cloud Strategy: After performing the analysis the next step is to develop the perfect strategy for optimization and cost saving. We determine what the enterprises are trying to achieve from the Cloud, and other considerations such as performance, timelines, budget etc. After this step we match the business requirements with the right type of cloud platform. We offer many cloud deployment options such as Public, Private and Hybrid.
Cloud Integration: In this service we configure multiple application programs to share data in the cloud. We have multiple options from which the enterprises can benefit.
a) Traditional enterprise integration tools deployed on premise
b) Traditional enterprise integration tools hosted in the cloud
c) On Demand Integration offerings. These are SaaS applications designed to deliver integration securely over the internet.