AWS Cloud Engineering

We're a team of experienced AWS engineers who know how to build and manage solutions in the Cloud. We work with startups, small businesses, and enterprises to provide them with the resources they need to get up and running quickly, saving time and money for all involved.

We have the knowledge you need to get started on your next project—and we do it quickly.

 

Application & Data Modernization
We understand that every business is unique in its needs, and our modernization strategy is tailored accordingly. Our approach enables organizations to take a strategic, holistic view of their digital transformation initiatives.
Cloud Migration Services
More and more organizations are accelerating the migration of on-premises infrastructure and applications to the cloud in order to swap a costly, inflexible and monolithic environment with a flexible, secure and scalable one.
Data Lake & Analytics
As you move toward becoming a data-driven organization, we can help you optimize operations, drive innovation, and tap into new opportunities to generate revenue.
DevOps Enablement
We help you to create real-world DevOps methodologies and best practices that we share with our clients to help improve their process, accelerate their success and deliver better products.
Cloud Application Development
We help companies to accelerate their business with our cloud native development. Our experienced and talented developers build reliable applications that are serverless, highly available and redundant.
Machine Learning & AI
AWS Machine Learning allows you to easily create predictive applications, including fraud detection, demand forecasting, and click prediction. Using powerful algorithms, AWS ML can help you make better decisions with less effort.

Stacks Used in Services

 
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For startups looking to grow their business quickly, AWS Cloud can take you there.

The cloud has changed how startups do business, and the right provider can help your small company grow into a large one without the need for expensive infrastructure or slow-moving IT departments.

Creating cloud applications has never been easier. Gone are the days of dealing with complex databases and infrastructure. AWS cloud provides a set of services that will let you create what you want quickly and easily. With tools like Amazon Lambda, EC2, API Gateway, DynamoDB, S3, Kinesis, Athena, Comprehend and Rekognition, etc., you can develop sophisticated applications in days rather than months.

It's not just about creating apps, either. Amazon's powerful data storage service is included in this bundle, allowing you to load up data and make it available for machine learning algorithms to work on. In addition to the raw data, you'll also get pre-built machine learning models that will allow your application to understand your users' needs better and personalize their experiences accordingly. If a picture is worth a thousand words, these models are worth millions!

 

How do we charge you?

Our cost is based on the engagement model that you choose. The models are based best practices and are designed to help you get best value for your investment. You can choose from the following available engagement models:

Fixed Price

Fixed price models are the most common method of pricing software products. The customer pays a fixed price for the deliverables to be developed, regardless of how long it takes.

The Fixed Price model is suitable for MVPs and small projects with:

  • Limited features
  • Limited budget
  • Determined Deadlines

Fixed Price Model Advantages:

  • The client gets exactly what they want.
  • The client has an idea of what to expect from the project.

It’s easy to plan and budget for a fixed-price project because both parties have agreed on a fixed price before work begins

Time & Material

Time-and-Material Engagement model is suitable for projects that do not have a clear requirements and roadmap. It allows changing the scope and milestones on the go. Consequently, cost of the project might differ from initial estimates. T&M model goes well with agile methodology. It is more suitable if you have:

  • Dynamic requirements
  • Unclear project scope
  • Anticipated flexibility
  • Significant control over a project

How it works?

Assessment

We start with assessing the client's needs and current AWS environment. Understanding the client's current state, goals, and pain points and identifying any potential security, performance, or cost optimization issues is essential.

Recommendations

Based on the assessment, our team will provide recommendations, best practices, and solutions for the client's AWS challenges, such as improving security measures, optimizing resource usage, automating tasks, or modifying the underlying architecture.

Implementation

Once the client approves the recommendations and solutions, our team will assist with implementation and provide ongoing support and monitoring. This may include configuring, monitoring, architecting, and optimizing AWS services.