Serverless services on AWS

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.

Faster Time to Market

Get rid of operational overload and enable your teams to release quickly, gain feedback, and transform your ideas into meaningful solutions faster.

Scalability & Adaptiveness

Keep pace with your customers' needs by implementing innovative technologies that automatically adjust from zero to peak demands.

Cost-Efficiency

No more overpayments or useless budget devastations. Due to a pay-for-value billing model, you only pay for what you use.

Enhanced Quality Combined with Easy Approaches

Thanks to built-in service integrations, developers spend their valuable time building your app rather than configuring it.

Serverless services we use in our solutions

Compute

  • AWS Lambda
    As one of the leading candidates for running the application code, this serverless compute service is an inseparable part of performing all sorts of computing tasks, from building APIs to data processing.
  • AWS Fargate
    Working with both Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS), this multifunctional compute engine is a perfect option to satisfy your diversified requirements quickly and easily.

Application integration

  • Amazon EventBridge
    Enjoy the flawless development process and seamlessly build event-driven applications at scale utilizing events generated from your applications, integrated SaaS apps, and AWS services.
  • AWS Step Functions
    With this unique serverless event bus, you can easily create event-driven architectures, integrate SaaS applications, and decrease operational overhead without the necessity to make tons of custom code.
  • Amazon SQS
    Integrate and decouple distributed software systems and components thanks to two types of fully managed standard and SQS FIFO message queues.
  • Amazon SNS
    A fully managed messaging service that enables all types of A2A and A2P communication, including pub/sub messaging, mobile push notifications, and more.
  • AWS API Gateway
    Whether you work with RESTful or WebSocket APIs, this fully managed service will allow you to create, monitor, maintain, and secure your APIs regardless of the scale.
  • AWS AppSync
    Building modern mobile & web apps has never been easier. You only need to utilize this serverless GraphQL and Pub/Sub API service, and voilà— the receipt of a successful application is revealed.

Data store

  • Amazon S3
    With this object storage service, it does not matter where your data are or how big they are. You can easily recover and utilize them for any use case, ranging from mobile apps to data lakes.
  • Amazon DynamoDB
    Are you still thinking that running high performance applications at any scale is a complex and time-consuming process? Just use NoSQL database and it will undeniably dispel your doubts.
  • Amazon RDS Proxy
    There is no better way to ensure your app's 100% security and scalability. Moreover, this highly available database proxy will also help you fix the error-prone nature of the application.
  • Amazon Aurora Serverless
    While managing your database manually is not always a good idea, especially when it comes to a limited scope of time, this relational database will automate this process in a few clicks.

Serverless Services on AWS - Matoffo

Choose our serverless services on AWS and gain the ability to focus on building your incredible application instead of worrying about infrastructure.

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Common solutions

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.

clients’ Success stories

MULTI STAGE DATA PIPELINE

Being a powerful player in the wellness & fitness niche, Naring Health handles multiple diet-related services under one roof. On the one hand, they evaluate DNA, microbiome, and metabolic reaction to particular meals or dietary practices to define a sufficient eating program to prevent or treat disease.

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AWS NATIVE KUBERNETES SOLUTION

As one of the most influential humanitarian organizations, Adra specializes in managing diversified services, each of which is intended to help individuals, communities, and society as a whole. Such a charity-oriented mission undeniably requires a robust technical foundation.

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A HIGHLY AVAILABLE MICROSERVICE ARCHITECTURE

In the modern business ecosystem, it is essential to constantly improve your services in order to engage potential clients and keep pace with the competitors. Growing means consistently examining your current infrastructure for weak areas and considering whether what you have in place is not only meeting the basic needs of your company today but also setting you up for triumph in the increasingly cloud-focused future.

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INFRASTRUCTURE & DEVOPS SERVICES FOR FINTECH PRODUCT

The client experienced the need to automate the deployment process of microservices and simplify the release process. One of the requirements was to migrate Docker containers to AWS ECS and move existing infrastructure to Terraform.

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CLOUD & DEVOPS SERVICES FOR CLOUD NATIVE PRODUCT

The client had a manual multi-environment infrastructure deployment аnd no continuous integration & continuous deployment automation. That significantly impacted the speed of product development, release, and delivery cadence of new application versions in general. Besides, it required a considerable part of the development team capacity to process it manually.

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CLOUD & DEVOPS SERVICES FOR REAL ESTATE PRODUCT

The client faced the need to automate multi-environment continuous integration and deployment process of microservices, move the front-end part to CDN as well as deploy multi-environment infrastructure as a code.

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SERVERLESS DATA & ML PIPELINES

The client had high costs for development, deployment, and, most importantly, operation of the data platform including Data Lake, Ingestion, and ML Pipelines. The pipelines were mostly running in EC2 instances, which led to the increased cost of operations and required a significant amount of time to deploy and test the pipelines in lower environments.

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SERVERLESS DEPLOYMENT AUTOMATION

The client came with a request to automate and unify the deployment process of serverless applications on AWS Lambda. Having manual deployments before, the customer was facing inconveniences and difficulties, including non-uniform environment setup (versions of Serverless, Python, Node, and so on were inconsistent) and inability to control the environment changes in one place.

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DATA SCIENCE INFRASTRUCTURE

The client needed to strengthen collaboration within the data scientists team by moving research capabilities into cloud workloads. Besides, they wanted to automate and unify the deployment process of AWS resources. That, in turn, would decrease the time and effort required for a team of data scientists to build and test their models.

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CI/CD FOR MOBILE CROSS PLATFORM APPLICATION

Initially, the client’s development team performed continuous integration and continuous deployment processes manually. Consequently, it was time- and effort-consuming to build cross-platform mobile applications. Besides, they used the legacy tools stack – that doesn’t have built-in mobile-specific continuous integration and deployment capabilities.

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SERHII YELCHENKO

Delivery Director

We are cloud native company who visions cloud computing as the home for tech products. Our team of top-notch engineers specialize in Cloud solutions, we develop scalable cloud native applications, provide DevOps services which facilitate innovations and allow release products faster, build reliable and secure cloud infrastructure for our clients from the US and Europe.

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