Below you can find links to the main technologies that we use. Conceptually, they are divided into ready-to-use Applications and integrated DevTools, Ecommerce solutions, Platforms, SemanticsWeb, Based Technologies, Web2.0 tools. We use them, but are not limited by them and can always consider the possibilities of other products at the request of the customer. Technology is constantly changing and improving. The basis for moving forward is open technologies, since it is the basis and foundation of all proprietary solutions at its core.
To implement the diferent pipelines we use the following products. Learn more...
To know how we build SaaS solutions to use at cloud or on-premise. Learn more...
We use different PaaS and their components based on AWS Services, GCP and Azure. Learn more...
All our solutions are based on open source products. Learn more...
The main technological development roadmap is the ontological library of knowledge (big collection of samples, patterns, refcards and library books with index hypertext searching) and api library that includes DevDocs (65 API frameworks and languages), hyperpolyglot (comparative analysis of syntax and forming elements for different programming languages) and Java API library (API of different Java fundamental software libraries&packages and OSS like Apache and other libraries). The main development IDE tools we use are cloud IDE's (Cloud9 SDK, Eclipse Che) and local ide's like Elcipse, JDeveloper, Netbeans, PyCharm, etc. Based on our development experience, we have created our own tutorial and collection of examples - "Java to write" Web Journal and Tutor about Java Programming Language (including JDK8). Also, we have experience at different shells (bash, csh, ksh, tcsh), Python, Ruby development.
Continous Development The core tenet of agile development practice is to provide iterative and continuous development capabilities. Building a system in smaller chunks (user stories) over single or multiple sprints to scope out user stories into sub stories supports the development effort. Developers complete these tasks, build and unit-test software, and commit their working code to the repository. As developers commit tasks, the whole user story slowly unfolds.
Continous Integration Continuous Integration is nothing but taking this concept of Continuous Development to the next step. Here developers are forced to integrate their individual work into a shared mainline. To facilitate continual integration work, they have to regularly 'integrate' their work into a common build area to ensure their work includes changes from other developers that may impact the code they are working on. Continual merging of source code updates take place in a centralized server, preventing merge conflicts.
Continous Testing In the continuous testing phase, testing is automated for improved continuous delivery. Automated testing helps in increasing operational agility and ensures accelerated time-to-market in an environment where development, testing and operations can collaborate more effectively. It sets the continuous feedback mechanism for continuous quality monitoring in motion that drives software delivery through the SDLC tunnel. Automating the following tests can deliver the best results: Front-end unit tests, Back-end unit tests, Functional tests, Performance tests, Code quality scans, Security scan, Load test setup (execution is done ad-hoc, at the developer's discretion).
Continous Delivery This involves the swift release of the new features developed by the team to the customers. In this process, only the 'good' builds without bugs with functionality go to QA. In the same way, all the builds that go through QA will not go to production. It's necessary to test whether builds coming out are 'production-ready' to be delivered to a staging or test area. The practice of regularly delivering the application to QA and operations team for validation to release the product to customers is Continuous Delivery, which aims at building, testing, and releasing software swiftly and frequently.
Continous Deployment In DevOps Continuous Delivery aims to have full software delivery lifecycle automated till the last environment before production, automatically ready to be deployed to production, Whereas in Continuous Deployment, it goes one step further -being automatically deployed to production. The difference is in the application of automatic trigger or a manual trigger with more sophisticated test tooling for test performance, operational readiness, etc.
Continous Improvement The Continuous Improvement of the application and its environment comes from the customer feedback mechanism on the application's functionality and behavior. Based on this feedback, the environment can be enhanced or re-configured in the next iteration, This enables the application to perform as expected as per the Service Level Agreement (SLA).
Infrastructure Management - Network and System Monitoring Increasing traffic, configuration errors, failed network elements, incompatible or non-integrated tools affect the critical processes of businesses. That is why exactly Prime offers a fully integrated and automated network management solution to optimize functions like: Virtual network management , Network performance monitoring, Single centralized dashboard, Network automation, Platform integration.
Containers and Dockers Developers and system administrators need an open platform to build, ship, and run distributed applications (Linux Containers). The purpose of Dockers is to act like a standard shipping container for software managed by the DevOps and infrastructure team. We make it possible for your apps running on the same old servers enabling easy packaging and shipping programs. The biggest advantage for developers is that they can use the same tools and workflows, regardless of their target operating system.
Resource Monitoring Resource monitoring is required in two areas for businesses. One for which experiencing performance problems; the second is to preserve the well-run ones. Monitoring is required on system resource usage like CPU usage, network usage, disk usage, and memory usage. Resource monitoring helps in managing workloads to support continuous delivery and deployment with confidence. Prime's resource monitoring can help to:
Identify and averting system resource shortages, Identify potential areas for reallocating resources, Find out system upgrade needs and plan for them,
Establish how to maintain or improve system performance,
Troubleshoot problems on AWS, GCP, Azure and remote on-premise system like on remote PC's as well.