AWS Partner Network (APN) Blog
Category: Serverless
How to Use Matillion Data Loader for Batch Loading Data to Amazon Redshift Serverless
Amazon Redshift Serverless makes it easier to run and scale analytics without the burden of managing infrastructure. Learn how you can use Matillion Data Loader to extract data from source systems and load it to Amazon Redshift Serverless without having to worry about coding or managing infrastructure. Matillion Data Loader enables organizations that have data coming in from an ever-increasing number of sources and need faster, simpler access to insights and analytics.
Using Amazon OpenSearch Service with Serverless Alfresco Content Services
Hyland Software’s Alfresco Content Services 7.3 enables enterprises to deliver open, flexible, and highly scalable solutions by providing capabilities for full-featured enterprise content services. Explore a simplistic deployment to show the ease in which Amazon OpenSearch Service is used with Alfresco Content Services and Alfresco Search Enterprise running in Amazon EKS on AWS Fargate. Production-grade deployments that require high availability and durability can be guided by this post.
Enhancing Security for AWS Lambda Functions with Fastly’s Next-Gen WAF
An integral component to most serverless architectures is AWS Lambda, the compute service that lets you run code for virtually any type of application without provisioning or managing servers. Fastly has extended its Next-Gen WAF to Lambda functions, supporting customers looking to embed additional layers of security into their serverless workloads. Fastly’s Next-Gen WAF supports numerous other deployment scenarios including virtual machines, containers, and web servers.
AiDA Launches Fraud-Waste-Abuse Detection Solution SMART-FRAUD with Support from AWS SaaS Factory
AiDA Technologies launched new Fraud-Waste-Abuse detection solution, SMART-FRAUD, in partnership with AWS SaaS Factory. SMART-FRAUD uses AI to monitor health insurance claims to unearth cases of irregular behaviors such as claims fraud, over-charging, over-servicing, and other unusual behaviors. Learn how a successful SaaS transformation improves the synergy between the technical, business, and operational aspects of the teams, and overall cultural transformation of the organization.
Understanding Amazon SQS and AWS Lambda Event Source Mapping for Efficient Message Processing
To make the best use of an Amazon SQS and AWS Lambda integration using event source mapping, it’s important to understand how the integration works. The SQS-Lambda integration is a powerful feature, and for small to medium-sized queues you don’t have to think much about the integration as it works out of the box. Serverless Guru is an AWS Advanced Tier Services Partner that helps companies build, migrate, and train teams on AWS serverless development.
Prometeia Launches New Wealth Management SaaS Platform with Support from AWS SaaS Factory
As with most industry segments, financial services are experiencing a shift towards the software-as-a-service business and delivery model. Explore how partnering with the AWS SaaS Factory team, Prometeia created a new platform as a SaaS solution on AWS. Prometeia is a leading provider of advisory services, tech solutions, and research insights. A unique combination of skills has made Prometeia a leading European company for risk and wealth management solutions, as well as services for institutional investors.
Building a Serverless Trigger-Based Data Movement Pipeline Using Apache NiFi, DataFlow Functions, and AWS Lambda
Organizations have a wide range of data processing use cases, collecting data from variety of sources, transforming it and loading it to different destinations to fulfill diverse business needs. Learn how DataFlow Functions, combined with the serverless compute services provided by AWS Lambda, enables developers to implement a wide spectrum of use cases using the low-code NiFi flow designer user interface, and deploy the flows as short-lived serverless functions.
Create Dynamic Serverless Applications with Neo4j Graph Database and AWS Lambda
The AWS Cloud Development Kit (AWS CDK) is a framework that provides an automated and repeatable way of handling cloud infrastructure. Learn how to use the AWS CDK to build an AWS Lambda function in Java that connects to Neo4j. The framework described here can be used to build dynamic serverless applications where the frontend scales based on system demand. This makes it possible to easily get value from your connected graph data in front end applications.
Network Access Patterns of AWS Lambda for Confluent Cloud
With its event-driven nature, AWS Lambda provides seamless integration with modern-day platforms like Confluent Cloud. Explore best practices to set up network access paths for Lambda when integrating with Confluent Cloud, and review details about various resources like connectors, Kafka endpoints, and private links, as well as ways to establish connectivity between them and Lambda. Founded by the creators of Apache Kafka, Confluent enables organizations to harness business value from stream data.
How hc1 Turns Lab Data into Personalized Health Insights Using AWS Serverless
Since 2011, hc1 has emerged as a bioinformatics leader in precision testing and prescribing. The hc1 platform built on AWS organizes live data, including lab results, genomics, and medications, to deliver solutions ensuring the right patient gets the right test and right prescription at the right time. Learn how hc1 ingests, organizes, and normalizes customer data to deliver analytics and improve operations management. As an outcome, customers use these insights to their fullest potential.