Serverless
Increase agility and lower costs without servers
SERVERLESS
We use AWS Lambda to build serverless applications and backends with continuous scalability and cost flexibility. This managed AWS service responds to public or private triggers, running code in parallel and individually processing events to scale to your exact workload needs. You pay only when your code is running, keeping software development costs low even as you test and add functionality to your product. Lambda’s serverless architecture also allows you to implement a microservices approach, eliminating the need to manage servers and reducing the administrative burden of code monitoring and logging.
SCALABLE
IoT BACKEND
With services such as Amazon Kinesis, Amazon DynamoDB, Amazon S3, and Amazon CloudWatch, we design and develop scalable, cost-efficient applications capable of processing data generated by thousands of connected devices. Manage your fleet of IoT devices using Lambda functions to record sensor data, track errors, and scale as your devices grow.
Services We Offer
We deploy the AWS serverless platform to deliver reliable, secure, scalable solutions for fast, efficient delivery at reasonable costs. For companies of any size, this provides powerful microservice architectures for rapid agile development and improved security.
Easy Maintainability
Run code automatically without having to manage servers
Real Time Processing
Process real time data streams after uploads
Continuous Scaling
Scale applications automatically to precise workloads
Faster Agile Development
Add new functionality without worrying about scaling architecture
Pay Per Use Billing
Only get charged while your code is running
Improved Security
Provide security and separation at the infrastructure and execution levels
CASE STUDY
Faster processing with less risk
A recent client was impacted by slow processing times and lack of reliability when handling large bursts of traffic. We implemented Lambda’s serverless architecture to process over 15,000 records simultaneously, reducing the company’s total processing time from 4 hours to 20 seconds and eliminating the risk of server failure.