AWS Serverless Services

Design and implement microservices based on AWS serverless services such as AWS Lambda, Amazon API Gateway, and AWS Step Functions for integration and elasticity control.

• Leverage AWS Lambda to create and run serverless functions
• Integrating microservices with API Gateway and Cognito
• Leverage DynamoDB for an efficient Data Storage Solution
• Leverage Aurora Serverless for relational database requirements
• Deploy solutions with ci/cd pipelines using serverless technologies

Deploy robust web applications on AWS serverless, which includes serverless functions, APIs, authentication, database, and content delivery with security, scalability, and responsiveness.

• Store static websites in S3 and CloudFront
• Use Lambda and API Gateway for serverless backends
• User Authentication and Authorization using Amazon Cognito
• Store and query data with DynamoDB and Aurora Serverless
• Accelerate continuous AWS serverless deployment and delivery

Optimize legacy batch applications with AWS serverless computing solutions such as AWS Lambda, Amazon EventBridge, and AWS Step Function for event-driven, serverless processing and automation.

• Orchestrate Batch Jobs With EventBridge & Step Functions
• Perform operations without managing servers using AWS Lambda
• Store data durably with S3 and DynamoDB
• Aurora Serverless for Relational Data Processing
• Reduce the overhead associated with managing infrastructures

Integrate, transform, and interpret streaming data in real-time using Amazon Kinesis, AWS Lambda, and Amazon DynamoDB for highly scalable serverless stream processing.

• Use Kinesis to analyze large volumes of data feeder streams
• Use serverless Lambda functions to perform real-time analysis.
• Use DynamoDB and S3 to store and query streaming data
• Leverage AWS managed services to create holistic solutions
• Automatically adjust the resources to the streaming load

Implement a cloud serverless data lake and data analytics by using AWS serverless services such as Amazon S3, AWS Glue, Amazon Athena, and Amazon QuickSight.

• Maintain data centralization with manageable S3 data stores
• Use Glue and Lambda to automate ETL processes
• Use Athena to analyze both, formatted and unformatted data
• Gain deeper insights with QuickSight dragged-and-dropped dashboards
• Scalability of analytics resources to meet level of required demand

AWS Lambda refers to a computing service that allows you to execute code without having to worry about the underlying infrastructure or the need to manually scale up your applications. Our team assists you in the creation and implementation of the serverless application, bearing the cost of infrastructure and allowing you to reach business outcomes.

• Serverless ETL Workflows: Our ETL pipelines are optimized and serverless, allowing for faster data transformation and seamless horizontal scalability.
• Serverless Architecture Development: As a dedicated development team, we design serverless architectures for your systems that will improve performance and utilize serverless functions.
• Metadata Management: Leverage serverless for organization, management, and processing of metadata to support improved operation.

Manage your APIs more efficiently using Amazon API Gateway; a robust service that helps in developing, deploying, operating, monitoring and safeguarding APIs. We guide you on how to utilize API gateways to handle a large number of calls to APIs at the same time.

• Strategic API Design: Our professionals actively design, implement, stress-test, integrate, and extend APIs for your applications.
• Performance Optimization: Tune parameters and enable caching to improve system performance, responsiveness, expansibility, and affordability.
• API Lifecycle Management: Maintain backward compatibility through version management, setting up environments, releasing, and deprecation.

Lower the EC2 workload price-performance by as much as 40% with AWS Graviton – Amazon’s ARM-based processors. Our AWS specialists assist in the implementation of Graviton in your environment, enhancing cost-efficiency while maintaining performance levels.

• Custom ARM-based Solutions: Our team specializes in creating and deploying tailored ARM solutions for Graviton processors.
• Graviton Processor Integration: Easily adopt Graviton processors into your organization’s workflow to unlock improved business operations.
• Migration Planning and Execution: Our specialists in AWS develop migration plans, compatibility evaluations, and seamless transitions to ARM architectures.

Leverage DynamoDB – AWS’s highly scalable, fully-managed document database for simple, fast, and flexible applications. DynamoDB provides integrated security features, backup, recovery, and in-memory caching for complex applications.

• Millisecond Latency: DynamoDB guarantees extremely low latency that enables applications to access data in near real-time.
• Seamless Scalability: This means that as your application scales you can scale your storage solutions accordingly all without worrying about compromising on performance.
• Robust Security and Availability: Take advantage of inherent security, data backup, restore, and caching features for applications with high availability requirements.

Use Amazon S3, the cloud computing storage infrastructure for big data sets and business applications to store data and then retrieve it from anywhere. S3 serves as an automatic storage-scaling solution for data volume expansion while maintaining its durability and minimizing latency.

• Limitless Scalability: S3 is very flexible to your dynamic storage requirements thus always providing you with space whenever it is required.
• High Availability and Durability: Your data is always available and safeguarded against failures and comes with redundancy incorporated in the process.
• Low Latency and High Performance: Ensure high availability and low latency of data access and retrieval irrespective of data size.

Get real-time data analysis and develop unique data streaming interfaces using Amazon Kinesis, AWS’s service for data streaming. Kinesis allows you to consume, process and analyze large streaming data feeds from different sources.

• Data Ingestion at Scale: Filter and transform massive amounts of data flows coming from multiple sources quickly.
• Real-Time Analytics: It allows you to perform real-time analysis on your data streams, which can help in making the right decision at the right time.
• Custom Streaming Applications: Create and deploy applications for real-time data streaming based on your industry and enterprise needs.

AWS Fargate is a fully managed compute service for containers used for running applications in Amazon Elastic Kubernetes Service and Amazon EC2 Container Service. Our specialists assist you in utilizing Fargace for optimized container usage with favorable scalability to other AWS services.

• Effortless Container Orchestration: Execute and orchestrate containers without making or managing servers or clusters.
• Automatic Scaling: Fargate is responsible for scaling containers depending on traffic because it will help to allocate the proper amount of resources.
• Seamless Integration: Experience Fargate as a fully integrated component of your application within the AWS ecosystem.

Simplify the architecture of your distributed systems and serverless applications by using Amazon SNS for highly available, secure, and fully managed messaging. SNS allows you to send messages to numerous subscribers at once for parallel computing and event-based systems.

• Publisher-Subscriber Model: For parallel processing and event-driven architectures, sending broadcast messages to multiple subscribers.
• Cross-Platform Messaging: Send messages to multiple targets such as AWS services, mobile devices, and on-premises systems.
• Reliable and Durable Messaging: Take advantage of inherent queuing and message persistence features for guaranteed message delivery.

Amazon Simple Queue Service or Amazon SQS is a highly scalable message queuing service that can be used to integrate microservices or distributed systems, as well as serverless applications. SQS provides a scalable, stable, and highly available messaging system with no downtime and can smoothly process large volumes of work.

• Asynchronous Communication: Decouple and scale microservices and distributed systems through asynchronous messaging.
• Message Ordering and Visibility: Manage and synchronize control messages in a specific way to improve the properties of queues and their processing.
• Scalability and High Availability: Take advantage of SQS’s automatic scaling and high availability to process massive workloads with ease.