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AWS Service Delivery Program

We are a proud AWS Partner with a growing set of service designations. Our participation in the AWS Service Delivery Program validates us as an AWS Partner with deep technical knowledge, experience, and proven success in delivering specific AWS services to customers.

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Amazon DynamoDB

Amazon DynamoDB is a fully managed NoSQL database service that offers our customers swift, predictable performance and easy scalability. We rely on this Amazon service when creating software solution storage for an API platform because it handles large amounts of requests with latency less than 100ms. Since Amazon DynamoDB takes care of distributed database operating and scaling, we are freed from having to focus energy on hardware provisioning, setup and configuration, replication, software patching, and cluster scaling. The service also provides encryption at rest, additionally freeing us from the extra operational burden and complexity of data protection. In designing our single table data model and the software that interacts with DynamoDB, we follow the guidelines comprehensively laid out in The DynamoDB Book.


Amazon RDS

Amazon Relational Database Service is a fully managed open-source cloud database service that offers seven database engines to choose from. We can rely on this Amazon service for its smooth interoperability with the code, applications, and tools our customers already deploy with their existing databases. Since Amazon RDS handles routine database tasks – including provisioning, patching, backup, recovery, failure detection, and repair – it provides easy to use replication to enhance availability and reliability for production workloads. The Multi-AZ deployment option lets us run mission-critical workloads with high availability and built-in automated failover from a primary database to a synchronously replicated secondary database. Amazon RDS Read Replicas enable scaling beyond the capacity of a single database deployment for read-heavy database workloads.


Amazon Kinesis

Amazon Kinesis is a fully managed service that helps our customers collect, process, and analyze real-time streaming data. We rely on this Amazon service for timely insights that enable us to obtain and instantly respond to new information rather than have to wait for all data collection before taking action. This, in turn, means customers can make data-driven decisions that lead to better business. Since Amazon Kinesis offers key capabilities to cost-effectively process streaming data at any scale and flexibility to choose the best tools for a given application, it is easy to ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications.

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AWS Glue

AWS Glue is a serverless data integration service that facilitates the swift discovery, preparation, movement, and integration of information from multiple sources. We can rely on this AWS service as it provides all necessary data integration capabilities for analytics, machine learning, and application development. Since AWS Glue offers both visual and code-based interfaces, information is easy to access via the AWS Glue Data Catalog. Using AWS Glue Studio, our customer teams’ data engineers and developers can visually create, run, and monitor ETL (short for extract, transform, and load) workflows. The data analysts and data scientists can use the AWS Glue DataBrew to visually enrich, clean, and normalize data without writing code.


Amazon Redshift Serverless

Amazon Redshift Serverless is a product that helps run and scale analytics without having to manage data warehouse infrastructure. We rely on this Amazon product so developers, data scientists, and analysts can work across databases, data warehouses, and data lakes to build reporting and dashboarding applications, perform real-time analytics, share and collaborate on data, and build and train machine learning models. Since Amazon Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver fast performance for even highly demanding, unpredictable workloads, our customers pay only for what they use. Large amounts of data become insights in seconds, as data can be loaded and queries immediately started in Amazon Redshift Query Editor or another business intelligence tool. All the while, we leverage the best price performance and familiar SQL features in a user-friendly zero-administration environment.

Azure Stack

AWS Lambda

AWS Lambda is a serverless event-driven compute service that lets us run code while being free of server or cluster considerations. We rely on this Amazon service because it enables code to be written and uploaded as a ZIP file or a container image for virtually any type of application or backend service without provisioning or managing servers. Since AWS Lambda automatically responds to code execution requests at any scale – from a dozen events per day to hundreds of thousands per second – our customers save on costs. Payment is only for the compute time used, measured per millisecond, rather than requiring the provision of infrastructure upfront for peak capacity.

Learn more about how we implemented AWS service designations for one of our customers here.

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