Tag: 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.

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.

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.

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.

Learn how to use ShardingSphere-Proxy to build database clusters, covering aspects such as sharding, read/write splitting, and dynamic configuration. Apache ShardingSphere is an ecosystem of open-source distributed database solutions, including JDBC and Proxy products, which can be deployed either independently or in combination. The commercial edition provides additional data security and data sharding features from AWS Partner SphereEx.

Explore how you can leverage Reserved concurrency to define a tiering strategy for multi-tenant software-as-a-service (SaaS) applications. There are many benefits when using AWS Lambda functions starting with the serverless model in SaaS that removes undifferentiated heavy lifting by simplifying the architecture and operational footprint. Reserved concurrency is an important feature of AWS Lambda which guarantees the maximum number of instances, running concurrently, for a Lambda specific function.

Cloud-based contact centers that leverage AI for enhancing the customer experience are gaining wide acceptance. TCS RemacX is an AI-powered CX collaboration space that extends Amazon Connect’s out-of-the box capabilities. It provides ways for customers to get insurance quotes, for example, and assists customer with FAQs using Amazon Lex. It also supports proactive customer communication like automated reminders for payments due using Amazon Pinpoint, and video calling using Amazon Chime.

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.

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.

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.