Amazon Web Services FeedStore and Access Time Series Data at Any Scale with Amazon Timestream – Now Generally Available Time series are a very common data format that describes how things change over time. Some of the most common sources are industrial machines and IoT devices, IT infrastructure stacks (such as hardware, software, and networking…
Amazon Web Services FeedEnhance programmatic access for IAM users using a YubiKey for multi-factor authentication Organizations are increasingly providing access to corporate resources from employee laptops and are required to apply the correct permissions to these computing devices to make sure that secrets and sensitive data are adequately protected. The combination of Amazon Web Services…
Amazon Web Services FeedUnified serverless streaming ETL architecture with Amazon Kinesis Data Analytics Businesses across the world are seeing a massive influx of data at an enormous pace through multiple channels. With the advent of cloud computing, many companies are realizing the benefits of getting their data into the cloud to gain meaningful insights and…
Amazon Web Services FeedBuild an Android App with a scrollable feed of live streams As smartphones and mobile internet become more advanced, many apps have implemented media-rich experiences that connect content creators with end users. Sharing and consuming video is exceptionally popular among smartphone users, leading to the rise of interactive, social video. While mobile…
Amazon Web Services FeedUsing AWS Lambda as a consumer for Amazon Kinesis This post is courtesy of Prateek Mehrotra, Software Development Engineer. AWS Lambda integrates natively with Amazon Kinesis as a consumer to process data ingested through a data stream. The polling, checkpointing, and error handling complexities are abstracted when you use this native integration.…
Amazon Web Services FeedUsing the K3s Kubernetes distribution in an Amazon EKS CI/CD pipeline Modern microservices application stack, CI/CD pipeline, Kubernetes as orchestrator, hundreds or thousands of deployments per day—this all sounds good, until you realize that your Kubernetes development or staging environments are messed up by these deployments, and changes done by one developer…