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DevOps consultants provides the knowledge transfer to all the teams including IT system admin team, delivery managers, test engineers, developers to successfully implement the DevOps process.

To prevent the infrastructure misconfigurations, our DevOps solution team practices an IaC method for automating and ensures that the software works well among all the development, testing and production environment.

Throughout the implementation process, our DevOps solutions & services team will provide support during the deployment and CI/CD configuration phases with the required DevOps automation tools & services.

Before adopting the DevOps culture, our DevOps consulting team analyze the current IT infrastructure,available resources and products portfolio.

With DevOps as a service, Increase the frequency of software deliveries with enhanced user experience.

For a DevOps strategy to be successful, use a top-down approach that gives practical & transparency approach within an Enterprise.

To keep the organization on the right track while implementing a DevOps journey, there are a few key checkpoints to be followed. While planning aligning with the company's vision, analyzing the foundational & success factors, identifying & measuring the metrics.

After kickstarting the DevOps implementation process, our team provides effective support during the production stage until the software is delivered as expected without any last-minute bottlenecks.

Provide continuous support to maintain the smooth transition of the software infrastructure.

As a devops service provider, we provide a uniform load distribution within our client’s IT infrastructure.

We take the containerization approach that facilitates software portability that works uniformly across all environments. Kubernetes to simplify the deployment process that is created with Docker & devops implementation services.

To improve the software quality and speed up the delivery process, our DevOps services team follows a CI/CD strategy with set of powerful CI/CD tools like Jenkins,Bamboo. Also, it detects the post-release bugs much earlier through environment/docker monitoring tools like Zabbix, Nagios, ELK etc.

With an effective DevOps services & solutions we create a comprehensive DevOps implementation plan along with the possible DevOps-specific challenges and solutions of how to mitigate them. It brings up a readiness plan where there is a perfect alignment between CI/CD, IaC and other environments.

Analysis of the project idea: The first step in the process is to analyze the project idea. Our team will work with you to understand the requirements of the project and identify any potential challenges that may arise. By doing so, we can ensure that the project is feasible and will meet your business goals.

Feasibility study: After understanding project requirements, we'll analyze technical concepts, high-level architecture, available resources, and limitations that may impact success. Then, we'll recommend the best approach.

Recommendations: Post the feasibility study, we'll provide you with actionable suggestions to enhance project design and optimize resource utilization. Our aim is to ensure project success, and we'll work closely with you towards achieving this.

Testing hypotheses: After the discovery phase, we test key hypotheses of the project. This step validates assumptions made during discovery using techniques such as user testing and surveys, ensuring project alignment with user needs and expectations. This step minimizes costly errors during full-scale development.

Application prototype: Following hypothesis testing, we build a scaled-down version of the final product to demonstrate its look and functionality. We then rigorously test the prototype to verify alignment with project requirements, deliver a ready demo for feedback, and ensure we're on the right track before full-scale development.

Data collection: After the application is built, we collect and label necessary data, using machine learning algorithms and human annotators. This trains the application's algorithms for accurate and effective functioning.

Infrastructure setup: Once data is collected and labeled, we configure the necessary infrastructure for the application, including servers and databases, to ensure scalability and performance in production.

Deploy app: After setting up the necessary infrastructure, we deploy the application and conduct user acceptance testing to ensure it meets the user's requirements and performs as expected.

Pilot project and staff training: Following application development, we execute a limited-user pilot project to test the application in real-world scenarios. We monitor performance and identify areas requiring attention, conducting staff training to ensure effective usage. These steps are crucial in preparing the application for full-scale deployment.

AI team development and support: Post-pilot project, we assist the customer in building an in-house AI team and strategy. We identify required competencies, provide training and support, and aid in recruitment. Additionally, we offer ongoing support and consulting to ensure optimal application performance. This vital step ensures customer resources and expertise availability for application maintenance and improvement.