Category: Amazon CloudWatch

External vendor APIs can help organizations streamline operations, reduce costs, and provide better services to their customers. But many challenges exist in integrating with third-party services such as security, reliability, and cost. Organizations must ensure their systems can handle performance issues or downtime. In some cases, calling an external API may have associated costs such […]

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 […]

Amazon CloudWatch Evidently enables developers to test new features on a small percentage of traffic and gauge the outcome before rolling it out to the rest of their users. Evidently feature flags are defined ahead of your release and, at runtime, your application code queries a remote service to determine whether to show the new […]

Stable Diffusion is a state-of-the-art text-to-image model that generates images from text. Deploying text-to-image models such as Stable Diffusion can be difficult. Currently, Stable Diffusion requires specific computer hardware known as graphical processing units (GPUs). You can lower the bar to entry by offloading the text-to-image generation onto Amazon Web Services (AWS). Discord is a […]

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 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, […]

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 […]

This blog provides a simplified three-step solution to collect metrics and logs from an Amazon Elastic Kubernetes Service (Amazon EKS) cluster on Amazon Elastic Compute Cloud (Amazon EC2) using the AWS Distro for OpenTelemetry (ADOT) Helm charts repository and send them to Amazon CloudWatch Logs and Amazon CloudWatch Container Insights. The ADOT Helm charts repository […]

Many customers use Oracle Database deployed on Amazon Elastic Compute Cloud (Amazon EC2) to run their Oracle E-Business Suite applications. They rely on Oracle Data Guard for high availability databases, with a standby database running in a different availability zone. Oracle Data Guard can switch a standby database to the primary role in case a […]

In Part 1 and Part 2 of this series, we discussed how to build application layer and infrastructure layer resiliency. In Part 3, we explore how to develop resilient applications, and the need to test and break our operational processes and run books. Processes are needed to capture baseline metrics and boundary conditions. Detecting deviations […]