AWS Architecture Blog
Category: AWS Lambda
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 […]
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 […]
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 […]
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, […]
Genomics workflows, Part 2: simplify Snakemake launches
Genomics workflows are high-performance computing workloads. In Part 1 of this series, we demonstrated how life-science research teams can focus on scientific discovery without the associated heavy lifting. We used regenie for large genome-wide association studies. Our design pattern built on AWS Step Functions with AWS Batch and Amazon FSx for Lustre. In Part 2, […]
Let’s Architect! Optimizing the cost of your architecture
Written in collaboration with Ben Moses, AWS Senior Solutions Architect, and Michael Holtby, AWS Senior Manager Solutions Architecture Designing an architecture is not a simple task. There are many dimensions and characteristics of a solution to consider, such as the availability, performance, or resilience. In this Let’s Architect!, we explore cost optimization and ideas on […]
Email delta cost usage report in a multi-account organization using AWS Lambda
AWS Organizations gives customers the ability to consolidate their billing across accounts. This reduces billing complexity and centralizes cost reporting to a single account. These reports and cost information are available only to users with billing access to the primary AWS account. In many cases, there are members of senior leadership or finance decision makers […]
Building event-driven architectures with IoT sensor data
The Internet of Things (IoT) brings sensors, cloud computing, analytics, and people together to improve productivity and efficiency. It empowers customers with the intelligence they need to build new services and business models, improve products and services over time, understand their customers’ needs to provide better services, and improve customer experiences. Business operations become more […]
Genomics workflows, Part 1: automated launches
Genomics workflows are high-performance computing workloads. Traditionally, they run on-premises with a collection of scripts. Scientists run and manage these workflows manually, which slows down the product development lifecycle. Scientists spend time to administer workflows and handle errors on a day-to-day basis. They also lack sufficient compute capacity on-premises. In Part 1 of this series, […]
What to consider when modernizing APIs with GraphQL on AWS
In the next few years, companies will build over 500 million new applications, more than has been developed in the previous 40 years combined (see IDC article). API operations enable innovation. They are the “front door” to applications and microservices, and an integral layer in the application stack. In recent years, GraphQL has emerged as […]