BlazingText implementation now available for scaling and accelerating Word2Vec Algorithm in Amazon SageMaker
You can now use Amazon SageMaker’s BlazingText implementation of the Word2Vec algorithm to generate word embeddings from a large number of documents. Word embeddings represent each unique word in the entire collection of text documents as a vector of numbers. Words that are similar will have similar vectors – that is, they will be close in the low-dimensional space of the embeddings – while words that are less similar will be further apart. This algorithm is used in a variety of Natural Language Understanding (NLU) tasks, such as semantic similarity, sentiment analysis, machine translation, and question-answering. Word2Vec has also recently been used successfully in tasks like recommendation and segmentation, where similar embeddings may denote that, by example, two movies tend to be watched by similar users at similar times. Amazon SageMaker’s BlazingText implementation has been engineered with speed and scale in mind to produce embeddings extremely fast using either GPU or CPU hardware.
You can now publish logs from your RDS for MySQL and MariaDB databases to CloudWatch Logs. Supported logs include general log, slow query log, audit log, and error log. Publishing these logs to CloudWatch Logs allows you to maintain continuous visibility into database activity, query performance, and errors in your RDS for MySQL and MariaDB databases. For example, you can set up CloudWatch Alarms to notify you on frequent restarts which are recorded in the error log. Similarly, alarms for events recorded in general or audit logs can be created to alert on unwanted changes made to your databases. You may also create alarms to monitor the slow query log and enable timely detection of long-running queries.
M5 Instances, the next generation of the Amazon EC2 General Purpose compute instances, were introduced in November 2017 to offer a balance of compute, memory, storage and networking resources for a broad range of customer workloads.
C5 Instances, the next generation of the Amazon EC2 Compute Optimized instances powered by 3.0 GHz Intel® Xeon® Scalable processors (Skylake), were introduced in November 2017. C5 instances are built using a new light-weight hypervisor, which provides practically all of the compute and memory resources to customer’s workloads.
To help make it easier for game developers to consistently track, analyze, and archive gameplay data on the AWS Cloud, AWS offers the Gaming Analytics Pipeline, a solution that automatically provisions and configures the services necessary to consume and analyze gameplay telemetry in minutes.
Amazon WorkSpaces is now available in the South America (Sao Paulo) region, increasing the number of AWS Regions where WorkSpaces is available to nine. This expansion into a new AWS Region allows you to provision WorkSpaces closer to your users and data in the cloud, providing a more responsive experience. You can quickly add or remove WorkSpaces to meet changing demand, without the added cost and complexity of on-premises VDI infrastructure.
CloudWatch Introduces Tiered Pricing With up to 90% Discount for VPC Flow Logs and Other Vended Logs
Today, we are introducing volume-based tiered pricing for Vended logs in CloudWatch Logs, effective January 1, 2018. Vended logs are logs that are natively published by AWS services on behalf of the customer. VPC Flow logs is the first Vended log type that will benefit from this tiered model. However, more AWS Service log types will be added to Vended Logs in the future.
We are excited to announce that Amazon EC2 Elastic GPUs now support OpenGL 4.3. To activate OpenGL 4.3 support for existing Elastic GPUs, simply stop and start your instances, and a new driver will be automatically installed in your instance to support OpenGL 4.3.
Amazon Kinesis Data Firehose is the easiest way to load streaming data into data stores and analytics tools. It can capture, transform, and load streaming data into Amazon S3, Amazon Redshift, Amazon Elasticsearch Service, and Splunk, enabling near real-time analytics with existing business intelligence tools you are already using today.
You can now develop your AWS Lambda function code using Go. Lambda lets you run code without provisioning and managing servers. You simply upload your Go executable artifact as a ZIP file through the AWS CLI or Lambda console and select the go1.x runtime. With Lambda, you can use Go's native tools to build and package your code. Read our documentation for more details.
You can now develop your AWS Lambda function code in C# using the .NET Core 2.0. Lambda lets you run code without provisioning and managing servers. You can use any of the .NET Core 2.0 libraries or frameworks when authoring your functions in Lambda. Read our documentation for more details.
AWS Glue now supports the Scala programming language, in addition to Python, to give you choice and flexibility when writing your AWS Glue ETL scripts.
AWS Glue now provides customers more control over ETL jobs by supporting additional trigger conditions.
This new Quick Start automatically creates a secure deployment of IBM WebSphere Liberty into a customizable environment on the Amazon Web Services (AWS) Cloud in about 40 minutes.
Amazon Inspector no Longer Requires a Compatible Kernel for Rules Packages like Common Vulnerabilities and Exposures (CVE)
Amazon Inspector has released an enhancement to the Inspector Agent that will allow it to perform assessments for Common Vulnerabilities and Exposures (CVE), Center for Internet Security (CIS) Benchmarks, and AWS Security Best Practices on supported operating systems, regardless of the kernel version installed. Prior to this release, the Inspector Agent was dependent on an internal kernel module that supported specific Linux OS kernel versions. The Inspector Agent could not be installed or used to run any security assessments for supported Linux operating systems that were using non-default, older, or custom kernels. With this update, you can use any kernel and run those assessments.
Starting today, Amazon RDS Read Replicas for MySQL and MariaDB now support Multi-AZ deployments. Combining Read Replicas with Multi-AZ enables you to build a resilient disaster recovery strategy and simplify your database engine upgrade process.
You can now log your Amazon SageMaker API calls with AWS CloudTrail.
AWS Shield Advanced and AWS WAF have expanded their regional footprint to the Asia Pacific (Sydney) and EU (Frankfurt) Regions, making them available in 7 AWS Regions.
AWS Batch now supports AWS CloudTrail audit calls to Batch APIs. AWS CloudTrail is a service that enables governance, compliance, operational auditing, and risk auditing of your AWS account. With AWS CloudTrail, customers can now audit calls to AWS Batch APIs, making it easier to ensure compliance with internal policies and regulatory standards.
Now, you can use the AWS Identity and Access Management (IAM) console in Korean. The IAM console is also available in English, French, Japanese, and Chinese.
AWS X-Ray SDK for Ruby enables developers to record and emit information from within their applications to the AWS X-Ray service. You can get started in minutes using the repository on Github.
Amazon Rekognition is a deep learning-based service that makes it easy to add image and video analysis to your applications. Rekognition Image API allows you to detect objects, scenes, faces and inappropriate content; extract text; recognize celebrities; and search and compare faces, in images. Rekognition Video API for the AWS US-East (Ohio) region allows you to track people; detect objects, scenes, activities and inappropriate content; recognize celebrities; and search faces, in videos stored in Amazon S3.
You can now use the DeepAR forecasting algorithm for model training in Amazon SageMaker.