Following are a few API Gateway service offerings 1. Build a solution for Public APIs to offer platform integration with different Client Applications and where client applications can use the APIs to pull the real-time data of IOT devices like current GPS location. 2. Build a solution for Private APIs for platform applications for CRUD operations, data validations, and enrichment of data. 3. Build a solution for the asynchronous process of Report requests and generate reports of the IOT device’s GPS data. 4. Design and develop an API to perform administrative operations on Databricks, a cloud-based big data processing and analytics platform.

InfoServices has a diligent hand of experience in handling the IOT streaming data and it's managing the data lifecycle. With strong and successful experience in implementing serverless solutions using fully managed services with most familiar services like AWS Lambda Functions, AWS API Gateways, AWS DynamoDB, AWS Kinesis Data Streams, Our company is very fast in the implementation of solutions for IOT data flow and data processing. DynamoDB is one of the preferable choices for IOT streaming data storage for the following reasons: 1) Quick Response time: For handling writes and reads of huge workloads (our solutions handled workloads of 80000 writes per sec) 2) Scalability: DynamoDB has unlimited storage, and engineering applications can focus on other aspects of the problem other than storage size. 3) Fully managed service, where operational cost is minimal. 4) Seamless data replication : By default, DynamoDB replicates table data in 3 availability zones within a single region. It allows you to easily recover from any disaster and avoid service disruptions. 5) Secure : DynamoDB also supports the integration with the AWS Identity and Access Management to enforce fine-grained access control to the database while using industry-accepted algorithms to encrypt the data.

Generative AI Implementation leverages cutting-edge AWS Machine Learning and Generative AI Services to empower businesses with advanced data-driven insights and automated content generation capabilities. Our solution enables seamless integration of AI-driven models, ensuring scalable and efficient deployment tailored to specific business needs, from personalized customer interactions to optimized operational workflows

Customized solutions for IOT devices data streaming, data filtering, and data enrichment for one-way and two-way communication with data sources like a relational database, NoSQL database, Datalake etc. The power of Serverless services like Kinesis, Lambda, and DynamoDB will be leveraged for setting up the data streaming pipeline. Serverless services are scalable, resilient, reliable and have minimal or no-operational cost.

We have provided Centralised logging and monitoring solution which is majorly backed by AWS Lambda along with other AWS services like SQS, S3, SNS, Amazon Managed Prometheus, Amazon OpenSearch Serverless, Route53, ELB (Recently moved from Amazon OpenSearch) Router lambda to put event in to SQS, it is triggered from s3 event. Processing lambda does the following steps: 1) Log Extracting 2) Log Normaliser 3) Log Enrichment 4) Log Indexer The above Lambdas are responsible for storing the logs in the OpenSearch using ECS. Grafana Connects to OpenSearch and display all the logs in the Grafana Dashboard.