Category: Serverless

Generative AI and large language models (LLMs) such as AI21 Labs’ Jurassic models are reshaping how we engage with information. This post walks through using the Jurassic-2 (J2) large language model and how to consume the model via an AWS Lambda API endpoint. We’ll also discuss how to make calls to the J2 model via the publicly available Jurassic-2 Python SDK. AI21 Labs is an AWS Partner and leader in generative AI and LLMs, revolutionizing the way people read and write.

Sisense Fusion Embed and Amazon Redshift Serverless provide customers with an integrated and seamless AI-powered data analytics experiences combined with predictive intelligence, natural language querying, and more. Together, these solutions enable data-driven decisions and deliver business insights at the point of decision making. Explore the benefits and synergy of these two powerful data solutions and how they can help organizations turn data into actionable insights.

With Amazon Redshift Serverless, users can run and scale analytics workloads seamlessly, paying only for the compute and storage resources they consume. Businesses often have a need to use change data capture (CDC) to quickly and easily load incremental data to data warehouses. Learn how to load data easily into Amazon Redshift Serverless using Matillion Data Loader, and see an example of CDC loading from PostgreSQL to Amazon Redshift Serverless as the destination.

Explore how Katanemo’s powerful identity and fine-grained permissions system enables developers to effortlessly onboard customers, and build modern safety features for their SaaS applications on AWS. To accompany this blog, you can read additional posts and guides by Katanemo on how tenants can quickly set up SSO, and how developers can build ABAC authorization via Tags and meet compliance requirements via access logs APIs.

The AWS Cloud Development Kit (AWS CDK) allows developers to define their infrastructure as code using familiar programming languages. It simplifies the process of building, deploying, and managing infrastructure in AWS, making it a popular choice for organizations that want to improve their agility, reliability, and scalability. Learn how Attini helps you package your code, configuration, and deployment instructions into immutable artifacts. The Attini Framework will then automatically run your deployments for you.

Learn how to leverage Apache Iceberg capabilities with Dremio and Amazon EMR Serverless to scale your business by keeping up with various changes to your data and analytics portfolio. Iceberg is a high-performance, open table format for huge analytical tables specifically designed to mitigate the challenges introduced by unforeseen changes observed by enterprises. Dremio is a data lake engine that delivers fast query speed and a self-service semantic layer operating directly against Amazon S3 data.

Learn how to build scalable, cost-effective, and serverless microservices using TiDB Cloud and AWS Lambda. TiDB Cloud is based on TiDB which is cloud-native, open-source distributed SQL database with built-in hybrid transactional and analytical processing (HTAP) that can handle multiple workloads seamlessly and effectively. Explore how pairing TiDB Cloud with AWS Lambda enables you to build serverless, event-driven microservices, further enhancing the scalability and cost-effectiveness of your architecture.

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.

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.