Serverless computing is an emerging technology that allows developers to build applications without worrying about managing servers or scaling them up and down as demand changes. Hence, it introduces a new approach to building software applications. It uses a different type of infrastructure than traditional approaches such as VMs and containers. With serverless computing, developers write code once and deploy it repeatedly. As a result, they can focus on writing code that runs continuously.
Get rid of operational overload and enable your teams to release quickly, gain feedback, and transform your ideas into meaningful solutions faster.
Keep pace with your customers' needs by implementing innovative technologies that automatically adjust from zero to peak demands.
No more overpayments or useless budget devastations. Due to a pay-for-value billing model, you only pay for what you use.
Thanks to built-in service integrations, developers spend their valuable time building your app rather than configuring it.
Choose our serverless services on AWS and gain the ability to focus on building your incredible application instead of worrying about infrastructure.
With our serverless services, it is possible to build a wide array of web applications, from a simple 'to-do list' app to a more complex event-driven application. Amazon DynamoDB as a database, AWS Lambda and Amazon API Gateway for business logic, and AWS Amplify Console for hosting static content — such a stable technical foundation will definitely lead you to a high-performing web app.
While it may be truly challenging to maintain a technology stack that adapts to the growing demands of a data-driven company, serverless data processing will help you deliver notes and convert & persist files to HTML to identify sentiment.
How to schedule your workflows regularly? In fact, the batch processing technique is a perfect option for automating repetitive tasks that require little human interaction. Thus, it is necessary to configure the environment variables so that it would be possible to connect to the S3 bucket and SQS queue, respectively.
Amazon Machine Learning (ML) provides an easy way to ingest data from various sources and build predictive models that can be used in real-time applications. With Amazon ML, you can ingest events from SNS, emails, webhooks, etc., or create custom models for different purposes.
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Terragrunt offers benefits such as code reusability, environment isolation, automatic dependency management, and simplified management of complex infrastructures.
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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.
Partnering with multiple market-leading healthcare and financial organizations, software vendors, and startups, our client delivers a service that allows companies to define whether their cloud infrastructure complies with modern security standards, such as HIPAA, GDPR, etc.
The Matoffo team decided to use MongoDB Atlas as a hosting platform for MongoDB. This service provides better performance, scalability, and availability. We created a multi-region cluster with proper cluster size and backup policy.
Our primary goal is value delivery for the client by resolving technical challenges and assisting them to achieve their objectives. AWS cloud solutions are great toolset which we use to make it happens, primary by outstanding agility, where companies could scale up cloud resources as needed and significantly decrease time from idea to market as well as seamless adopt rapidly growing tech capabilities to transform their businesses to be competitive in the market.
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