Tag: AWS Service Ready Products

The Amazon Athena Teradata Connector enables Athena to query data in Teradata Vantage using SQL, and comprises two AWS Lambda functions for metadata and record reading. This post describes deploying the connector, creating a Lambda layer for the Teradata JDBC driver, and running queries on Teradata from Athena, including a federated query joining Teradata and S3 data. This provides a scalable, serverless way to analyze data across different data stores without data duplication.

nOps Compute Copilot extends the capabilities of the open-source Karpenter Kubernetes cluster autoscaler, adding awareness of your AWS compute commitments like Reserved Instances and Savings Plans. It also analyzes Amazon EC2 Spot pricing data and termination risk to intelligently select the most cost-effective and stable Spot Instances for workloads. nOps automatically manages your Karpenter configurations, updating NodePools based on its cost optimization analysis and recommendations.

Cisco Duo integrates with AWS to establish and maintain zero-trust security. It helps to eliminate surface area through strict access policies, evaluate risk signals to require step-up authentication, and establish device trust through posture checks and compliance enforcement. Learn now to configure Duo’s policies that enable risk-based authentication, deploy Duo Desktop for device trust, and integrate Duo with AWS via SAML and OpenID Connect to protect AWS services and applications.

Learn how to connect the ThoughtSpot analytics platform to an Amazon Aurora MySQL database for real-time operational analytics. This post outlines the steps to create an Aurora MySQL instance, populate it with sample data, create a connection from ThoughtSpot, and build generative AI-powered analytics using natural language search. By integrating ThoughtSpot and Aurora MySQL, businesses can get instant insights from their transactional database.

With increasing cloud innovation, distributed teams need visibility into their deployed cloud resources, dependencies, and budgets when architecting new applications or reconfiguring existing solutions. Cloudcraft by Datadog helps companies achieve this cross-team alignment and enables teams to visualize and document architectures, analyze costs, run compliance audits through shareable diagrams, and automate diagram updates as infrastructure evolves.

Containers are a leading method for packaging applications, with Kubernetes emerging as the top orchestration solution. You can enable secure and efficient self-service cluster provisioning on Amazon EKS using open-source tools like AWS Controllers for Kubernetes (ACK), Kyverno, and ArgoCD. This post demonstrates how enterprises can leverage these tools along with Nirmata’s Policy Manager to streamline EKS cluster management, apply security policies, and ensure compliance in a Kubernetes environment.

Amazon Security Lake centralizes security data from multiple AWS sources into a customer-owned data lake. A New Relic integration provides a single pane for performance and security telemetry, ingests Amazon Security Lake data, and allows threat detection via curated dashboards and anomaly alerts. This solution improves cloud security posture by consolidating data, providing insights, and enabling automated response to potential threats.

Amazon Athena allows analyzing petabytes of data directly with SQL queries or via analytics tools like ThoughtSpot. This post covers creating an IAM access key, two Amazon S3 buckets (one for data storage, one for query results), creating an Amazon Athena table from sample data using an AWS Glue crawler, and establishing a connection between Athena and ThoughtSpot. With the connection, ThoughtSpot can search and visualize the Athena data using AI capabilities.

Fine-tuning large language models (LLMs) is crucial for leveraging their full potential across industries. Quantiphi unveils how fine-tuning supercharges LLMs to deliver domain-specific AI solutions that redefine possibilities. From personalized healthcare to precise financial predictions and streamlined legal reviews, fine-tuned models offer transformative value and unleash the power of customized, efficient, and responsible generative AI deployments.

SaaS relies on the cloud for efficient delivery, but faces data challenges like tenant isolation, high storage costs, and compliance requirements. Amazon FSx for NetApp ONTAP solves these by providing multi-tenancy, storage efficiencies, persistent Kubernetes storage, and more. It enables SaaS providers to enhance agility while managing data availability, protection, security and costs. Arcesium reduced dev/test refreshes by 80% and overall costs by 46% using FSx for ONTAP.