Category: Advanced (300)

With the proliferation of different, constantly changing applications, it’s become a challenge to innovate quickly while having a strategy in place to prevent ballooning storage costs. Legacy archival and analytic tools often restrict developers and diminish the benefits of NoSQL’s handling of modern, rich data sources. Learn how MongoDB is committed to making it easier for customers to scale and transform their data management solutions to make developers’ lives easier.

Building effective machine learning models requires storing and managing historical data, but conventional databases can quickly become a nightmare to regulate. Queries start taking too long, for example, slowing down business decisions. Learn how to use Amazon Redshift ML and Query Editor V2 to create, train, and apply ML models to predict diabetes cases for a sample diabetes dataset. You can follow a similar approach to address other use cases such as customer churn prediction and fraud detection.

Securing the Kubernetes environment without compromising on developer agility holds the key to success with cloud-native adoption. The Nirmata Kubernetes Platform is designed to address these challenges comprehensively. It’s an open and easy-to-adopt platform to deploy, operate, and optimize Kubernetes workloads on any infrastructure, enabling self-service, segregation of responsibilities, and security and governance controls.

This post will show you how to send Amazon Inspector‘s Common Vulnerabilities and Exposures (CVE) findings to the ServiceNow Security Operations (SecOps) module. At the time of this write-up, there is no native adaptor from AWS to the ServiceNow SecOps module and, as such, requires a custom integration. Learn how to use ServiceNow’s native RESTful API to create a custom interface that an AWS Lambda function will leverage to send the CVE findings as they reach AWS Security Hub.

Operationalizing machine learning models can be a challenge due to lack of established ML architecture and its integration with the existing landscape. DataRobot integrates with AWS and provides the flexibility for a model trained in DataRobot to be deployed on AWS services with centralized model governance, management, and monitoring. Learn how the DataRobot AutoML platform orchestrates the complete model development and training lifecycle.

Some contact center platforms don’t offer native integrations with AWS AI/ML services. Consequently, customers must learn to live with a “just enough” contact center until their license agreements expire, look for other options beyond AWS, or wait for the platform provider to build the integrations in future releases. Learn how Universal Speech Solutions (also known as Unispeech) created AWS AI/ML plugins that enable the non-native integrations.

Maximizing performance is a key area of focus for all architects. Achieving optimal performance, however, can be challenging in SaaS environments where multi-tenant workloads can make it difficult to efficiently profile and scale your environment. This post dives deep into the challenges, opportunities, and best practices of efficiently managing performance in multi-tenant SaaS environments on AWS. We’ll review these topics through the lens of an example multi-tenant search application.

Privacera is an AWS Partner that provides security and privacy tools for enterprises to secure and govern user access to databases and datastores in the cloud. PrivaceraCloud reduces the burden of self-managing Apache Ranger by providing Ranger as a hosted service. It provides centralized management of data access, authorization policies, and auditing. Learn how Amazon EMR can integrate with PrivaceraCloud to provide a fully-managed data governance solution.

As customers continually move towards hybrid cloud architectures, it has become increasingly important to address network security requirements for having a centralized security inspection solution between VMware Cloud on AWS and the native AWS environment, on-premises data centers, and the internet. Through this post, learn how to integrate preferred third-party firewall solutions with VMware Cloud on AWS, by leveraging the VMware Transit Connect feature.

Cloud security is the highest priority at AWS, and we work closely with industry-leading partners such as Trend Micro to build security solutions for customers. In this post, we share a malware scanning solution jointly built by Trend Micro and AWS that detects and automates response to malware payload uploaded to Amazon Simple Storage Service (Amazon S3). The solution uses Trend Micro threat intelligence capabilities and AWS Security Hub.