STREAMLINING REAL ESTATE TRANSACTIONS WITH DYNAMODB
Our client is a groundbreaking platform that revolutionizes the real estate transaction process by bringing together all transaction parties, enabling efficient access to transaction details…
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AWS Lambda
Elevate your application architecture with AWS Lambda, a serverless computing service that allows you to run code without provisioning or managing servers. Our service delivery ensures seamless integration, providing you with unmatched scalability, cost-effectiveness, and operational efficiency. Unlock the full potential of serverless computing with AWS Lambda Service Delivery. Experience unmatched scalability, cost-efficiency, and operational simplicity for your applications. Connect with our experts today to revolutionize your application architecture with AWS Lambda.
AWS Lambda Key Capabilities
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Serverless
AWS Lambda takes care about managing and provisioning all the infrastructure to run your code on highly available, fault tolerant infrastructure, freeing you to focus on building web and mobile backends, processing data at scale, enable powerful ML insights and create event-driven applications.
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Automatic scaling
AWS Lambda invokes your code only when needed, and automatically scales it up to support your business needs on the fly by sustaining the rate of incoming requests without any manual configuration. There is no limit to the number of requests your code can handle which excludes necessity to guess and provision compute capacity in advance.
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Cost-effective
AWS Lambda enables possibility to save cost by paying only for execution duration rather than provisioning infrastructure upfront for peak capacity. When using Lambda functions, you only pay for requests served and the compute time required to run your code. So you pay for what you actually use not for something you could potentially use.
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clients’ Success stories
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TRUNK-BASED BRANCHING STRATEGY & CI/CD IMPROVEMENTS
Fulfilling multiple socially-oriented missions, our client is a powerful player in the African market. The organization provides various companies, ranging from startups to small businesses, with mentorship…
AWS DYNAMODB SOLUTION FOR MANAGING TERRAFORM STATE FILES
Collaborating with our client, we deeply explored their key pain points and intricacies. To gain a thorough understanding of their pivotal business objectives, we held a series of intensive workshops…
TERRAFORM PULL REQUEST AUTOMATION FOR AN ONLINE MARKETPLACE
Our client needed a solution for their cloud infrastructure change implementation via Terraform. We chose Atlantis to automate pull requests for Terraform configuration.
API GATEWAY IMPLEMENTATION FOR ECOMMERCE APP
By leveraging AWS API Gateway and our expertise in cloud architecture, we implemented a cost-effective and efficient solution for our customer’s microservice architecture app. We eliminated the need for…
AUTOMATION OF MONGODB ATLAS RESOURCES
As a one-of-a-kind platform utilized to create custom interactive maps across different business domains, ranging from real estate to the construction industry, our client offers a unique platform for building maps…
TERRAGRUNT IMPLEMENTATION FOR ADRA
Terragrunt offers benefits such as code reusability, environment isolation, automatic dependency management, and simplified management of complex infrastructures.
CLOUD-BASED MONITORING SOLUTIONS FOR SOCIAL STARTUP
As a powerful player in the African market, our client handles multiple socially-oriented missions under one roof. The company is committed to promoting digital innovation and entrepreneurship in Africa.
AZURE PIPELINES TUNING FOR DEVELOPMENT FLOW OPTIMIZATION
We worked closely with the client to understand their requirements and developed a customized solution that met their specific needs. Through careful planning and execution, we were able to successfully migrate their pipelines to Azure Pipelines.
BOOSTING ML MODEL TRAINING FLOW FOR A HEALTHCARE COMPANY
The client’s data science team lacked access to GPUs, so they undertook manual ML model training, which led to slower processing time. The Matoffo team used Python and the Ray Tune library to improve processing speed and enable cluster computing in AWS with autoscaling.
