Category: Advanced (300)

As companies realize the need to remove unnecessary friction caused by outdated contracting and agreements, they are looking for ways to prepare, send, sign, and track eSignatures effortlessly and increase signature completion rates within document processing. This post walks through how HelloSign, Dropbox’s eSignature software, empowers businesses to send and sign agreements faster through a secure and reliable approach.

Learn how you can use Amazon FSx for NetApp ONTAP to provide block storage for virtual machine workloads running on VMware Cloud on AWS via the iSCSI protocol. With Amazon FSx for ONTAP, you can launch, run, and scale fully managed NetApp ONTAP storage file systems on AWS. The solution helps customers address their block storage requirements for workloads running on VMware Cloud on AWS.

As container usage increases in application modernization efforts, Kubernetes plays an important role in managing container-based applications. Managing these multi-cluster life cycle, application deployments, and enforcing security policies across clusters is often challenging and time consuming. Learn how Red Hat Advanced Cluster Management for Kubernetes (RH ACM) addresses the challenges associated with managing multiple clusters and meets the requirements of multiple personas.

LoRaWAN is one of the most popular LPWAN technologies, and AWS IoT Core is a managed IoT platform that allows connected devices to interact with cloud applications and AWS. Learn how to integrate devices connected to your private LoRaWAN network powered by OrbiWAN with AWS IoT Core. OrbiWAN is OrbiWise’s carrier-grade LNS and is broadly used by large public network operators and by many private networks alike.

Understanding the performance of your Amazon EKS clusters and applications is critical, but without the proper tools identifying problems can be difficult. You need the ability to detect, analyze, and resolve them as fast as possible. New Relic’s EKS Blueprints add-on for the Amazon EKS Blueprints framework is built on the AWS Cloud Development Kit (CDK) and simplifies deploying Kubernetes observability components from New Relic to your EKS clusters, using programming concepts you’re already familiar with.

Amazon EC2 Mac instances allow customers to bootstrap macOS machines in the cloud and use these for building, testing, and deploying iOS applications with the security, scalability, and flexibility of the cloud. Learn how TeamCity, developed by JetBrains, is a common CI/CD automation tool for developers that offers the ability to use build agents, distribute CI/CD pipelines across machines, or schedule parts of a pipeline to a specific instance type or container.

By powering personalized, relevant, and timely digital interactions built on guest behavior data, Braze can help AWS lodging customers generate additional revenue and engage guests for the long run using personalization. Learn how a hotel customer can rapidly and simply transform their web booking engine into a digital user engagement solution offering a personalized booking experience including upsell capabilities.

Learn how DXC Technology was able to leverage Amazon ECS Anywhere to fulfill regulatory and compute requirements and increase operational efficiency for a use case for an in-house proprietary tool where a part of the application stack must run on premises. DXC needed a hybrid cloud solution to execute their toolkit data capture and analysis strategy without major changes in application design or architecture.

Many SaaS providers are leveraging Amazon EKS to build their solutions on AWS, as EKS provides builders with a range of different constructs that can be used to implement multi-tenant strategies. In this post, explore an architecture based on EKS that demonstrates a siloed SaaS deployment model, using Istio Service Mesh to manage request authentication and per-tenant routing. Istio is an open-source service mesh that many SaaS providers use for deploying their multi-tenant applications.

The zero-cost Amazon Sustainability Data Initiative (ASDI) seeks to accelerate sustainability research and innovation by minimizing the cost and time required to analyze large sustainability datasets. In this post, we’ll use Snowflake, a data cloud company, to work with two different ASDI datasets containing climate and air quality data. We’ll demonstrate how to access ASDI datasets, join them together by date, and ultimately form a merged result.