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PROTECH CONSULTING GROUP LLC

Summary

A/B Testing, Self-Service Analytics, Data Driven, Data Warehouse, DevOps practices, Modular Design, Elastic Search, Generative AI, Automation, Stateless, Agile, SCRUM, JSON, JAVA, GIT, LLM

Profile

Incorporate State: North Carolina | Since: | Main/Branch: Branch | Profile views: 12

Address

State: North Carolina | County: Harnett | City: Bunnlevel | Address: 230 ENGLISH OAK DR | ZIP Code: 28323-9239 | Map URL: 230 ENGLISH OAK DR BUNNLEVEL NC 28323-9239

Description

Protech Consulting delivers cloud native applications on the Amazon Web Services (AWS) platform. We deliver end-to-end solutions from ideation to deployment, utilizing AWS features like serverless computing, containers, and managed databases. Protech implements Continuous Integration and Continuous Delivery (CI/CD) pipelines using AWS CodeBuild, CodeDeploy, and CodePipeline, emphasizing automation. Our approach enhances code quality, accelerates delivery time, and ensures agencies have mission supporting applications when they need them. Protech fully embraces emerging technologies to support our customers' mission. We utilize AI/ML, NLP and tools such as Jenkins and Snowflake. We focus on deploying applications using Docker containers and Amazon Elastic Kubernetes Service (EKS), adopting a microservice architecture. Protech's leadership has years of experience supporting commercial, state, local and federal customers, providing software specifically designed to run optimally on AWS.

Special Details

Business Intelligence (BI), Dashboard / Reporting, Interoperability, User Interface / User Experience (UI /UX), Software Development Lifecycle (SDLC), Identity & Access Management (IAM), Resilience and fault tolerance, Monitoring and logging in AWS, Cloud-native design patterns, Business Process Automation, Microservices architecture, Cloud-Native Architectures, Cloud-Native Technologies, Event-driven programming, Immutable Infrastructure, RESTful API development, Serverless Applications, Full Stack Development, AWS Management Console, Serverless frameworks, Code versioning (Git), Requirements Analysis, Deployment automation, Scalability planning, Database Management, Automation Testing, AWS CloudFormation, Cloud-Native Stack, AWS Code Pipeline

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