In a recent blog post, Amazon announced updates to its MySQL-compatible Database Engine, Aurora. In this update, Amazon is including support for cross region snapshot copy, cross region replication for encrypted databases, cross account encrypted snapshot sharing, adding a region where Aurora can be provisioned and a new instance size called T2.Small.
After a three month preview since re:Invent 2016, Amazon Web Services has recently moved AWS Organizations to general availability. The new service allows to centrally manage multiple AWS accounts within a hierarchy of organizational units and attach service control policies with fine-grained access permissions. AWS Organizations also supersede the formerly separate consolidated billing feature.
Amazon has announced a program to subsidize the hosting of Alexa skills that use AWS Lambda and incur use charges beyond what is provided by the AWS free tier. Only developers having at least one skill live are eligible to apply.
In a recent blog post, Amazon announced changes to its NoSQL database service, DynamoDB, that includes support for Time to Live (TTL) on data stored in the service. Deleting data, based upon time-based thresholds, provides opportunities for organizations to reduce storage costs for data that decreases in value over time.
A mistake took down more S3 servers than it should, including two subsystems essential to S3 operation. This resulted in S3 failure, affecting the S3 service and other services depending on it. Normal functioning was restored in about four hours.
At the microXchg microservices conference, held in Berlin, Adrian Cockcroft presented “Shrinking Microservices to Functions”. Key takeaways from the talk included: ‘serverless’ technologies enable rapidly developed functions-as-a-service (FaaS); and the biggest challenges for modern enterprise software development are connected with the people and process within an organisation.
MindMeld, a conversational AI company, has published The Conversational AI Playbook, a guide outlining the challenges and the steps to be made to create conversational applications.
What started out as an attempt to protect GitLab.com from spammers turned sour as engineer fatigue and a lack of backups took the site down for nearly 18 hours and the loss of six hours worth of production data.
Tracking "who did what" in a self-service public cloud can be challenging. With Google Cloud Audit Logging, Google captures log streams for seventeen services in Google Cloud Platform (GCP) .
Docker Inc. launched its answer to Amazon ECS into public beta at the end of last year: an AWS-compatible service for managing and orchestrating Docker containers. Now, Docker for AWS is generally available.
Amazon is the first cloud provider to support Windows Docker containers in their managed container platform - the AWS EC2 Container Service. The new beta service for Windows has several restrictions, but it paves the way to running multi-platform solutions across a single cluster of container hosts.
Intel open-sources BigDL, a distributed deep learning library that runs on Apache Spark. It leverages existing Spark clusters to run deep learning computations and simplifies the data loading from big datasets stored in Hadoop.
At the AWS re:Invent conference, Amazon launched Rekognition, a managed service for Image Recognition and Analysis, powered by Deep Learning. The capabilities that Rekognition provides include Object and Scene detection, Facial Analysis, Face Comparison and Facial Recognition. The service attempts to extract meaning from visual content for the 1.2 Trillion pictures captured annually.
Instacart is an online delivery service for groceries under one hour. Customers order the items on the website or using the mobile app, and a group of Instacart’s shoppers go to local stores, purchase the items and deliver them to the customer. InfoQ interviewed Mathieu Ripert, data scientist at Instacart, to find out how machine learning is leveraged to guarantee a better customer experience.
Amazon's Simple Queue Service (SQS) recently gained FIFO (first-in, first-out) queues, which are designed to "guarantee that messages are processed exactly once, in the order that they are sent, and without duplicates". AWS rolled out this new queue type in the US East (Ohio) and US West (Oregon) regions and "plans to make it available in many others in early 2017".