Category: Advanced (300)

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.

The advent of automated infrastructure provisioning and cloud-based remote backup and recovery solutions has empowered organizations to embrace advanced data protection and backup strategies tailored for cloud-native workloads. Explore the architectural design and considerations customers should consider before adopting AWS Backup using private interface VPC endpoints (powered by AWS PrivateLink) to protect workloads running on VMware Cloud on AWS.

Internet of Things (IoT) use cases typically involve an enormous number of connected devices, both currently in existence and anticipated in the future, which will generate an even greater amount of data. The increasing prevalence of microcomputing capabilities in nearly every type of device has led to a fully-connected world. Learn how to use Confluent and AWS to solve device management and data management challenges that may be encountered in IoT use cases.

AWS provides an extensive suite of networking services to simplify the delivery of customer connectivity requirements, and integrating Fortinet SD-WAN with AWS networking services provides flexible, secure, and scalable connectivity to accelerate digital transformation. For existing Fortinet customers, this reduces the time-to-value by leveraging existing infrastructure. Learn how to establish secure, private connectivity to AWS with Fortinet SD-WAN, and review some of the use cases accelerated by this architecture.

Monitoring containerized applications can be challenging due to the isolated environment that containers provide. A comprehensive monitoring strategy is essential, including how to choose tools to collect and analyze resource usage, network traffic, and application logs. Learn how eCloudvalley leverages AWS Distro for OpenTelemetry to help customers centralize their monitoring in Amazon CloudWatch for their Amazon EKS environment.

Precisely’s geo addressing solution is coupled with data enrichment to enable organizations to accelerate the use of address data and quickly associate rich, relevant contextual information to power faster and more confident decision-making. The Precisely Geo Addressing SDK allows organizations to develop and deploy geocoding desktop, mobile, or web applications capable of delivering location information for over 250 countries and territories.

Kubernetes provides several autoscaling features that enable organizations to dynamically adjust their application resources in response to varying demands, but optimizing Kubernetes costs can be challenging. Learn how optimization tools like Karpenter and StormForge Optimize Live help organizations automate resource allocation, optimize performance, and reduce costs, thus making the process of cost optimization more accessible and efficient for anyone.

Gremlin is an AWS Partner that gives users a solution for safely and securely improving the reliability of their technology stack. Teams can use Gremlin to find hidden reliability risks, standardize reliability testing and measurement, and simulate real-world outages with an ever-growing library of tests. Learn how to test and measure the reliability of AWS systems using Gremlin Reliability Management and Amazon CloudWatch.

Maintaining multiple machine learning models across different teams can be challenging. Having a centralized platform to monitor and manage them can significantly reduce operational overhead and improve efficiency. Learn how the models trained and deployed in Amazon SageMaker can be monitored by DataRobot in a highly scalable fashion. In this way, customers can monitor both DataRobot-originated models and SageMaker-originated models under a single pane of glass.

Customers want an easier way to gather operational insights across their environments, including monitoring who has made changes to resources and when. Tata Consulting Services (TCS) developed a cloud management and orchestration platform called TCS Cloud Exponence that provides resource maintenance, patching, perimeter monitoring, vulnerability protection, observability, and compliance auditing. TCS leveraged AWS CloudTrail Lake to support the monitoring and compliance auditing capabilities.