AWS Architecture Blog

Category: Learning Levels

Figure 2. Containerized application for ingestion and Amazon Kinesis for format conversion

Designing a High-volume Streaming Data Ingestion Platform Natively on AWS

The total global data storage is projected to exceed 200 zettabytes by 2025. This exponential growth of data demands increased vigilance against cybercrimes. Emerging cybersecurity trends include increasing service attacks, ransomware, and critical infrastructure threats. Businesses are changing how they approach cybersecurity and are looking for new ways to tackle these threats. In the past, […]

Figure 8. Architecture diagram of entire data collection and classification process

Serverless Architecture for a Structured Data Mining Solution

Many businesses have an essential need for structured data stored in their own database for business operations and offerings. For example, a company that produces electronics may want to store a structured dataset of parts. This requires the following properties: color, weight, connector type, and more. This data may already be available from external sources. […]

Figure 4. Approaches to migrate relational database resources

Migrate Resources Between AWS Accounts

Have you ever wondered how to move resources between Amazon Web Services (AWS) accounts? You can really view this as a migration of resources. Migrating resources from one AWS account to another may be desired or required due to your business needs. Following are a few scenarios where this may be of benefit: When you […]

Figure 3. Solution architecture of DR on AWS for a third-party IVR solution

Disaster Recovery (DR) for a Third-party Interactive Voice Response on AWS

Voice calling systems are prevalent and necessary to many businesses today. They are usually designed to provide a 24×7 helpline support across multiple domains and use cases. Reliability and availability of such systems are important for a good customer experience. The thoughtful design of a cost-optimized solution will allow your business to sustain the system […]

Figure 1. Data flow - Source to data lake target

Hybrid Cloud Architectures Using Self-hosted Apache Kafka and AWS Glue

Using analytics to gain insights from a variety of datasets is key to successful transformation. There are many options to consider to realize the full value and potential of our data in a hybrid cloud infrastructure. Common practice is to route data produced from on-premises to a central repository or data lake. Here it can […]

Figure 5. Event registration and check-in

Using AWS Serverless to Power Event Management Applications

Most large events have common activities such as event registration, check-in upon arrival, and requesting of amenities. When designing applications, factors such as high availability, low latency, reliability, and security must be considered. In this blog post, we’d like to show how Amazon Web Services (AWS) can assist you in event planning activities. We’ll share […]

Figure 1. OR optimization options

Emerging Solutions for Operations Research on AWS

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Operations research (OR) uses mathematical and analytical tools to arrive at optimal solutions for complex business problems like workforce scheduling. The mathematical techniques used to solve these problems, such as linear programming and mixed-integer programming, require the use of optimization […]

Figure 1. Synchronous container applications diagram

Scaling Data Analytics Containers with Event-based Lambda Functions

The marketing industry collects and uses data from various stages of the customer journey. When they analyze this data, they establish metrics and develop actionable insights that are then used to invest in customers and generate revenue. If you’re a data scientist or developer in the marketing industry, you likely often use containers for services […]

Figure 5. Connectivity examples for AWS networking and content delivery services

Augmenting VMware Cloud on AWS Workloads with Native AWS services

VMware Cloud on AWS allows you to quickly migrate VMware workloads to a VMware-managed Software-Defined Data Center (SDDC) running in the AWS Cloud and extend your on-premises data centers without replatforming or refactoring applications. You can use native AWS services with Virtual Machines (VMs) in the SDDC, to reduce operational overhead and lower your Total […]

Figure 1. Spot and On-Demand Instances scaling by different AZs

How IPONWEB Adopted Spot Instances to Run their Real-time Bidding Workloads

IPONWEB is a global leader that builds programmatic, real-time advertising technology and infrastructure for some of the world’s biggest digital media buyers and sellers. The core of IPONWEB’s business is Real-time Bidding (RTB). IPONWEB’s platform processes, transmits, and auctions huge volumes of bid requests and bid responses in real time. They are then able to determine […]