Neudesic offers a wide range of cloud and data-driven solutions, including custom application development, comprehensive managed services, and business software products. With more than 75 AWS certified professionals, our strategic partnership enables us to leverage the latest tools and technologies to accelerate digital business evolution.
How We Work in the Cloud
We view cloud-enabled digital transformation around five key pillars, allowing us to think different, build platforms, integrate systems, make data-driven decisions, and empower the digital workplace.
- Agile Business Transformation
- People & Process Alignment
- Technology Strategy
- Digital Business Strategy
- Tailored Application Development
- Architecture Modernization
- Development Process Transformation
- IoT Application Development
- Integration Platform Implementation
- Machine learning solutions
- Data management solutions
- Self-service data solutions
- Real-time analytics solutions
- Customer Relationship Management
- Collaboration & Engagement
- Process Automation
- Knowledge Management Solutions
Our Cloud Offerings
Advise, Plan, Build, and Manage to cover the entire journey to an impactful move to AWS.
Design and Build modern applications based using innovative new capabilities available in AWS. AI, PaaS, Serverless can maximize the impact of moving to AWS.
Data & Analytics (Advanced Workloads)
AWS based offerings to support a logical data warehouse, streaming analytics, fast data, and advanced analytics solutions.
Breaking down barriers between development and operations to delivery better software, faster supported by AWS.
Enable the digital workforce through Amazon WorkSpaces.
Leveraging AWS Technology to Help Clients Develop Innovative Solutions
The following clients have chosen to remain anonymous
Multi-billion Dollar Petroleum
and Natural Gas Corporation
Neudesic created an AWS cloud environment that demonstrates the ability to store data in an efficient format and consume it with popular statistical and machine learning tools such as Matlab and Python. The solution automates the extraction of sensor data from their central collection hub and loads it into Cassandra via Python and Apache Nifi. Furthermore, Neudesic utilized powerful GPU-backed instances in the AWS cloud that will enable advanced analytics of this data using the latest in GPU driven Matlab and popular Deep Learning frameworks such as Tensorflow.
With quick and consistent access to this data, the enterprise’s data analysts seek to discover and predict the patterns that show early evidence of equipment failure. Intervening in the life cycle of these machines at the right times will avoid downtime and help them discover the underlying cause of periodic unanticipated failures, which is estimated to have an eight-figure impact to the enterprise’s bottom line.
Billion Dollar Resort and Casino Conglomerate
Neudesic assisted in the modernization and redesign of the content management system using MEAN, AWS, Docker, and continuous integration/continuous delivery. Within their platform, Neudesic is aiding in a multi-year modernization and redesign using the MEAN stack and deploying new components into their AWS instance within Docker containers. Neudesic was hired to design and build a private cloud within AWS. Our expertise enabled us to deploy and configure Docker Datacenter (DDC) using Swarm mode within AWS.
We Deployed 4 separate environments within the AWS DDC infrastructure and developed IaaS scripts to deploy both Linux and Windows servers within AWS DDC. Neudesic also developed and implemented CI/CD using MS VSTS/Git with deployment into AWS DDC.
Multi-billion Dollar Global
Travel Management Enterprise
Neudesic created a server-less application architecture in AWS, enabling a drastic acceleration of the systems development life cycle. Coding services were able to be completed within days, compared to weeks under their traditional on premise model. With no dependency on legacy IaaS components, the 100% server-less multi-tier architecture provided scalability, operational efficiency, and significant cost reductions. This improved operational efficiency was achieved with a fully automated continuous integration and delivery deployment pipeline.