The client is an FMCG company looking to improve the granularity of their marketing and sales messages. They needed a smart text mining solution based on NLP to analyze audio and text data.
The InData Labs team built and delivered an intelligent processing system for unstructured data based on the AWS infrastructure. The solution allowed the client to fine-tune their campaigns to the customer sentiment.
Our client is an influencer marketing platform that caters to brands and influencers. They needed to add better analytics capabilities to the platform to enable real-time analysis of social media data.
Our team has designed and built a tailored data analytics solution that brings powerful insights into social media user behavior. As a result, both brands and influencers can make informed decisions based on social performance data.
Our client is a Remote Simultaneous Interpretation platform looking to build a web app for multi-language data extraction for interpreters. The solution needed to extract terms from various types of documents for interpreters.
Our team has delivered a from-scratch term extraction application for fast and error-free terminology analysis that improved the brand positioning of our client.
Server-free technology includes a wide variety of tools and services that enable developers to create and roll out solutions with no effort associated with the infrastructure or server management. Serverless services in AWS allow companies to hand over server management to cloud providers that allocate resources on behalf of users.
It is a new architecture for companies that want to leverage cloud services with less management hassle. It’s designed to reduce the cost and complexity of getting started with AWS, giving you greater flexibility and control over your digital solutions.
The AWS Serverless framework also lets you build applications with no servers and pay only for the resources your app uses. Instead of managing your own infrastructure, you can focus on building and shipping your product. Serverless framework AWS operates on a pay-for-value billing model.
Each tool in the AWS Serverless services list has a different purpose. For example, AWS Serverless API is a part of the open-source AWS Serverless Application Model that allows you to build applications. AWS Serverless function enables you to perform a cost-effective ETL process, while AWS Serverless data lake is designed to simplify data lake and data warehouse management.
Also, with AWS Serverless analytics, you can build a robust data analytics pipeline and amplify your business intelligence strategy, while AWS EMR Serverless provides a runtime for flexible management of electronic medical records.
However, you most likely do not need the whole range of these tools for your project. Our team helps you select the right tools to address your development and business needs.
The cloud provider charges you on the resources based, thus eliminating any costs associated with idle capacity. AWS Lambda, for example, charges users based on the number of requests and the time it takes for your code to execute. However, pricing can vary based on the number of cloud resources you need for your project.
The best way to calculate your costs is to reach out to our specialists. During the research phase, we estimate your TCO and optimize resources to make cloud adoption cost-effective.
Amazon Web Services is a popular cloud computing platform that offers a range of services, including hosting. AWS Lambda is a computing platform that runs code in response to events, automatically manages the compute resources for you, and provides a simple API to upload your code.
AWS Step Functions is an orchestration service that lets you control and sync the building blocks of your applications and microservices with the help of visual workflows.
Overall, the cloud ecosystem offers a wide range of other server-free tools and systems to facilitate faster adoption of this innovative architecture.
One of the most appealing aspects of the server-free architecture is its ability to manage the application load with no manual effort. This means that businesses can focus on their core operations without having to worry about the technical details of their server infrastructure.
So how does it manage the application load? In a nutshell, it uses a combination of auto-scaling and intelligent resource allocation to ensure that your application always has the resources it needs to function smoothly. The Lambda function is used to process requests from an Application Load Balancer.
To apply the AWS Serverless application model, you need to create an API. This will empower the dynamic elements of your website. Our developers leverage Amazon API Gateway to create an API and use Amazon Lambda as the backend. You can also power your dynamic experience by combining several AWS services together. Each service is fully managed and your development team only needs to configure them together and add your application code to AWS Lambda.
There is no one-size-fits-all answer to this question, as the approach will vary depending on the specific needs of your business. However, there are some general tips that can help you get started.
First, it’s important to understand the architecture. Zero-server architecture is a way of building applications that do not require a server. Instead, the application is run in the cloud and is only charged for the resources it uses. This can be a great way to save money on infrastructure costs, as you only pay for what you use.
To monitor resources, AWS offers its own native tools, as well as a number of third-party options. There are a number of different approaches for monitoring AWS applications. The most common approach is to use Amazon CloudWatch, which provides comprehensive monitoring for cloud resources and can be used to monitor serverless applications. Some clients rely on open-source tools such as Prometheus or using third-party tools such as Datadog.