AWS Architecture Blog

Category: AWS Lambda

Let's Architect

Let’s Architect! Designing serverless solutions

During his re:Invent 2022 keynote, Werner Vogels, AWS Vice President and Chief Technology Officer, emphasized the asynchronous nature of our world and the challenges associated with incorporating asynchronicity into our architectures. AWS serverless services can help users concentrate on the asynchronous aspects of their workloads, easing the execution of event-driven architectures and enabling the adoption […]

Many-to-many vehicle routing architecture

Optimizing fleet utilization with Amazon Location Service and HERE Technologies

The fleet management market is expected to grow at a Compound Annual Growth Rate (CAGR) of 15.5 percent—from 25.5 billion US dollars in 2022 to USD 52.4 billion in 2027. Optimizing how your organization uses its vehicle fleet is important for logistics and service providers such as last mile, middle mile, and field services. In […]

Automated benchmarking of genomics workflows

Genomics workflows, Part 5: automated benchmarking

Launching and running genomics workflows can take hours and involves large pools of compute instances that process data at a petabyte scale. Benchmarking helps you evaluate workflow performance and discover faster and cheaper ways of running them. In practice, performance evaluations happen irregularly because of the associated heavy lifting. In this blog post, we discuss […]

IBM Instana architecture on AWS

Realtime monitoring of microservices and cloud-native applications with IBM Instana SaaS on AWS

Customers are adopting microservices architecture to build innovative and scalable applications on Amazon Web Services (AWS). These microservices applications are deployed across multiple AWS services, and customers are looking for comprehensive observability solutions that can help them effectively monitor and manage the performance of their applications in real-time. IBM Instana is a fully automated application […]

ML-based telemetry analytics solution architecture

Boosting Resiliency with an ML-based Telemetry Analytics Architecture

Data proliferation has become a norm and as organizations become more data driven, automating data pipelines that enable data ingestion, curation, and processing is vital. Since many organizations have thousands of time-bound, automated, complex pipelines, monitoring their telemetry information is critical. Keeping track of telemetry data helps businesses monitor and recover their pipelines faster which results […]

AvalonBay lease processing platform

Building an event-driven solution for AvalonBay property leasing and search

In this blog post, we show you how to build an event-driven and serverless solution for property leasing and search that is scalable and resilient. This solution was created for AvalonBay Communities, Inc.—a leading residential Real Estate Investment Trusts (REITs). It enables: More than 150,000 multi-parameter searches per day The processing of more than 3,500 […]

SOAR architecture for AWS

Decreasing incident response time for OutSystems with AWS serverless technology

Leading modern application platform space OutSystems is a low-code platform that provides tools for companies to develop, deploy, and manage omnichannel enterprise applications. Security is a top priority at OutSystems. Their Security Operations Center (SOC) deals with thousands of incidents a year, each with a set of response actions that need to be executed as […]

Data lake architecture with OpenSearch

Text analytics on AWS: implementing a data lake architecture with OpenSearch

Text data is a common type of unstructured data found in analytics. It is often stored without a predefined format and can be hard to obtain and process. For example, web pages contain text data that data analysts collect through web scraping and pre-process using lowercasing, stemming, and lemmatization. After pre-processing, the cleaned text is […]

Solution architecture for S3 Glacier object restore

Genomics workflows, Part 4: processing archival data

Genomics workflows analyze data at petabyte scale. After processing is complete, data is often archived in cold storage classes. In some cases, like studies on the association of DNA variants against larger datasets, archived data is needed for further processing. This means manually initiating the restoration of each archived object and monitoring the progress. Scientists […]

Workflow manager for genomics workflows

Genomics workflows, Part 3: automated workflow manager

Genomics workflows are high-performance computing workloads. Life-science research teams make use of various genomics workflows. With each invocation, they specify custom sets of data and processing steps, and translate them into commands. Furthermore, team members stay to monitor progress and troubleshoot errors, which can be cumbersome, non-differentiated, administrative work. In Part 3 of this series, […]